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<strong>Aalborg</strong> <strong>Universitet</strong><br />
<strong>Bike</strong> <strong>Infrastructures</strong> <strong>Report</strong><br />
<strong>Silva</strong>, <strong>Victor</strong>; Harder, Henrik; Jensen, Ole B.; Madsen, Jens Chr. Overgaard<br />
Publication date:<br />
2012<br />
Link to publication from <strong>Aalborg</strong> University<br />
Citation for pulished version (APA):<br />
Andrade, V., Harder, H., Jensen, O. B., & Madsen, J. C. O. (2012). <strong>Bike</strong> <strong>Infrastructures</strong> <strong>Report</strong>. <strong>Aalborg</strong><br />
University: Departmental Working Paper Series, Dept. of Architecture, Design and Media Technology.<br />
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BIKE<br />
INFRASTRUCTURES<br />
Edited by<br />
VICTOR ANDRADE<br />
HENRIK HARDER<br />
OLE B. JENSEN<br />
JENS MADSEN
TITLE<br />
BIKE INFRASTRUCTURES<br />
EDITORS<br />
<strong>Victor</strong> Andrade<br />
Henrik Harder<br />
Ole B. Jensen<br />
Jens Madsen<br />
EDITORIAL COORDINATION<br />
<strong>Victor</strong> Andrade<br />
RESEARCH COORDINATION<br />
Henrik Harder<br />
<strong>Victor</strong> Andrade<br />
CONTRIBUTORS<br />
<strong>Victor</strong> Andrade<br />
Henrik Harder<br />
Ole B. Jensen<br />
Jens Madsen<br />
Tom Godefrooij<br />
Kees van Goeverden<br />
RESEARCH TEAM<br />
Kristian Overby<br />
Luke Lorimer Baylis<br />
Niels Thuesen<br />
Anders Simonsen<br />
Nina K. Bregendahl<br />
Ann Sofie Grimshave Christensen<br />
LAYOUT<br />
Ann Sofie Grimshave Christensen<br />
Luke Lorimer Baylis<br />
COVER LAYOUT<br />
Ann Sofie Grimshave Christensen<br />
<strong>Victor</strong> Andrade<br />
COVER PICTURES<br />
<strong>Victor</strong> Andrade<br />
PICTURES<br />
<strong>Victor</strong> Andrade<br />
Kristian Overby<br />
Luke Lorimer Baylis<br />
bike<br />
infrastructures<br />
MAPS AND DRAWINGS<br />
Luke Lorimer Baylis<br />
Ann Sofie Grimshave Christensen<br />
Niels Thuesen<br />
PUBLISHER<br />
Architecture and Design Department<br />
<strong>Aalborg</strong> University<br />
ARCHITECTURE AND DESIGN<br />
ISSN: 1603-6204<br />
Volume: 69
CONTENTS<br />
INTRODUCTION<br />
SECTION 1: Danish National Survey<br />
SECTION 2: <strong>Bike</strong> <strong>Infrastructures</strong> Case Studies<br />
SECTION 3: The Dutch Reference Study. Cases of Interventions<br />
in <strong>Bike</strong> Infrastructure Reviewed in the Framework of<br />
<strong>Bike</strong>ability<br />
SECTION 4: recommendations
Introduction<br />
VICTOR ANDRADE
INDRODUCTION<br />
Increased transition of person transport from automobiles<br />
to bicycles is generally regarded as gain for society, most<br />
profoundly in terms of reduced emission and enhanced<br />
public health. However, the mode-share of cycling has<br />
decreased in recent years, leading to the conclusion by<br />
the Danish Government that conditions for cycling must<br />
be enhanced to increase the use of the bicycle for transportation<br />
(Regeringen et al 2009).<br />
This research project departs from this conclusion and<br />
focuses on the preconditions for cycling; the possible effects<br />
of changes of the urban environment and cycling<br />
infrastructure; and methodologies for assessment of<br />
changes to existing cycling infrastructure based on microlevel<br />
spatially explicit data. This way the strategic focus of<br />
the project is how to enhance bike-ability of urban areas.<br />
This report presents the result of the research project<br />
titled Interventions to the bicycle infrastructure. This research<br />
is under the umbrella of a major project called<br />
<strong>Bike</strong>-ability: cities for zero emission and public health<br />
which consists of 5 interrelated work packages focusing<br />
on different scales and aspects of the analysis of cycling<br />
in relation to urban structure and cycling infrastructure.<br />
It is the overall objective of the <strong>Bike</strong>-ability project to increase<br />
the level of knowledge in relation to cycling based<br />
transport and thereby to contribute to more efficient and<br />
qualified urban planning and management. It is the specific<br />
societal/commercial objective to enable planners of<br />
urban areas to a) promote as high bike-ability of urban areas<br />
as possible; b) predict cycling flows in planned or renewed<br />
cycling infrastructures; and c) facilitate exchange<br />
of the Danish know how with respect to bicycle transport<br />
internationally.<br />
The project Interventions to the bicycle infrastructure is<br />
divided in 3 research packages – <strong>Bike</strong> <strong>Infrastructures</strong>,<br />
National Survey and Dutch References.<br />
Firstly, the package titled <strong>Bike</strong> <strong>Infrastructures</strong> is a comparative<br />
case study of 3 bike infrastructures with different<br />
typologies and in 3 Danish municipalities. The study aims<br />
to reveals recent experiences of implementation of bike<br />
infrastructures and their effects.<br />
The package National Survey is an inventory of bike infrastructures<br />
implemented in all Danish municipalities between<br />
1978 and 2009. Plus, it is investigate the structure<br />
and capacity of the municipalities to deal with implemen-<br />
tation of bike infrastructures. The inventory is based on<br />
a web-based questionnaire which was sent to all Danish<br />
municipalities.<br />
Finally, the research package Dutch References is a<br />
study of selected cycling interventions in the Netherlands,<br />
focusing on bicycle infrastructure cases that helped increase<br />
local bicycle traffic significantly. This reference<br />
study will be based on considerations related to the classic<br />
study “Sign up for the <strong>Bike</strong>: Design Manual for a Cycle<br />
friendly Infrastructure” and these considerations will be<br />
compared to more recent studies from the Netherlands.<br />
The primary purpose of this report is to provide policy<br />
makers, architects, urban designers or traffic engineers<br />
among others with a synthesis of information on bike infrastructures.<br />
The main objective of this study is to analyze bike infrastructure<br />
cases in the Danish municipalities; their implementation;<br />
and significance in terms of contribution to the<br />
promotion of cycling; and finally identify infrastructure and<br />
design elements that can help promote cycling significantly.<br />
Having said that, it is not the ambition of this report to<br />
fix a precise frame of techniques for interventions to bike<br />
infrastructures. It is however an intention to identify and<br />
debate critical topics that represent challenges facing the<br />
design and implementation of bike infrastructures and<br />
how they could enhance cycling.<br />
The report is divided in 4 sections – <strong>Bike</strong> <strong>Infrastructures</strong>,<br />
National Survey, Dutch References and Recommendations.<br />
The first 3 sections are dedicated to the 3 research packages<br />
that compose the Interventions to the bicycle infrastructure<br />
project. The <strong>Bike</strong> Infrastructure and National<br />
Survey sections include scientific articles which enhance<br />
a discussion and highlight critical themes.<br />
The latter section presents general recommendations<br />
which assemble the results from the national survey and<br />
comparative case studies for cross reading and analytical<br />
generalization, and in cooperation with planners from<br />
the projects case areas, provide recommendations for<br />
promotion of cycling through interventions to the cycling<br />
infrastructure.
SECTION ONE: DANISH NATIONAL SURVEY<br />
ENCOURAGING BIKE TRANSPORT AT THE MUNICIPAL LEVEL:<br />
RESULTS FROM A NATIONAL WEB QUESTIONNAIRE<br />
Jens Madsen<br />
<strong>Victor</strong> Andrade<br />
Ole B. Jensen<br />
Henrik Harder
INDRODUCTION<br />
As part of work package 4 a web questionnaire was carried<br />
out amongst the Danish Municipalities as these are a<br />
vital actor in the implementation of bike infrastructure projects.<br />
The aim of the survey was to describe infrastructural<br />
“<strong>Bike</strong>ability” projects and the municipal level in terms of<br />
both activity level, the nature of the projects and the motives<br />
behind the implementation of bike-projects. Furthermore,<br />
the municipalities were asked to evaluate the bike<br />
promoting and the safety potentials related to given types<br />
of bicycle projects. In terms of estimating the <strong>Bike</strong>abilityeffects<br />
of investments in bicycle infrastructure a main aim<br />
of the questionnaire was to map the extent to which the<br />
municipalities have done before/after registrations in relation<br />
to implemented bike-infrastructure projects as these<br />
are required in order to perform such evaluations.<br />
The findings from the national web questionnaire amongst<br />
the municipalities are reported below<br />
Background<br />
At the moment large investments are made in bicycle infrastructure<br />
at the municipal level. The higher investment<br />
level is primarily initiated by the “Cycling Fund” (Danish:<br />
Cykelpuljen), which is administered from the state level by<br />
the Danish Road Directorate. Through the Danish Cycling<br />
Fund it is possible for the municipalities to obtain financial<br />
support from the Danish State, when it comes to financing<br />
bike promoting projects; the level of financial support<br />
from the state level may be as high as 50%. According<br />
to the Danish act on Green Transport Policy – passed<br />
by the Danish parliament – the goal of the Cycling Fund<br />
is to support projects specifically and actively aiming at<br />
improving the conditions for cycling (Transportministeriet,<br />
2009). Over a period of 5 years 1 billion Danish Kroner<br />
will allocated <strong>Bike</strong>-promoting projects through the Cycling<br />
Funds with the expectation that the project partners will<br />
contribute with at least a corresponding investment.<br />
Alongside the passing of the Cycling Fund, the Strategic<br />
Research Council decided to offer substantial financial<br />
support to the research project: ”<strong>Bike</strong>ability: Cities for<br />
zero emission travel and public health”, which focuses on<br />
producing scientifically based knowledge as to how socio-economics,<br />
geography, road environment and investments<br />
in bicycle infrastructures affects the use of the bike<br />
in daily transport.<br />
Knowledge of this kind is vital to the Danish municipalities<br />
in order for them to identify ways of increasing the use<br />
of the bicycle in daily transport. More specifically knowledge<br />
and documentation on the effects of different kinds<br />
of bike-promoting projects are in demand in order to provide<br />
tools that enables the municipalities to systematically<br />
prioritize the projects relevant to them.<br />
Purpose<br />
As part of the <strong>Bike</strong>ability project it was decided to perform<br />
a questionnaire amongst the Danish Municipalities. The<br />
main purposes of this questionnaire can be described as<br />
follows:<br />
• To describe the bicycle initiatives implemented at the<br />
municipal level in Denmark in the period 1/1 2007 until<br />
the summer 2011 with special focus upon the formulation<br />
of goals and plans for improving cycling, investment<br />
level and the nature and the character of the implemented<br />
projects.<br />
• To map the primary motives amongst the municipalities<br />
when it comes to the background for implementing bikepromoting/bike-friendly<br />
projects.<br />
• To get the municipalities assessment of given assumed<br />
bike-promoting/bike-friendly projects potential for actually<br />
promoting the use of the bike and the projects potential<br />
for actually improving bicycle safety respectively.<br />
• To map the extent to which the municipalities perform<br />
before-after registrations in relation to local bicycle-projects<br />
which allows for evaluations of the effects of the project<br />
in terms of bicycle use and traffic safety.<br />
The main reasons as why to conduct a municipal survey<br />
is reflected in the purpose of the questionnaire. Primarily,<br />
the questionnaire is performed in order to ensure that<br />
the research activities are in accordance with the goals,<br />
knowledge, initiatives and ideas at the municipal level, as<br />
it is a general priority for the <strong>Bike</strong>ability project as a whole<br />
that the research results are relevant and applicable to<br />
the central parties involved in increasing <strong>Bike</strong>ability at all<br />
levels. Hence the importance of mapping goals, motives<br />
and the implemented type of projects as well as the mapping<br />
of potentials, as the latter may serve as an indicator<br />
in terms of the projects that the municipalities may be inclined<br />
to implement in the future.<br />
Secondly, the mapping of municipal projects with before/<br />
after registrations serves to document the extent to which<br />
it is possible to perform classic before/after evaluations of<br />
bicycle effects (use of bike; safety of cyclists).<br />
Methodology<br />
In preparing the questionnaire for the municipalities it<br />
was decided to apply a standardized and structured<br />
design applying a uniform formulation of questions and<br />
well-defined answering categories. This design holds<br />
the advantage that it is possible to compare the answers<br />
from the municipalities and it allows for statistical<br />
analysis to be applied to the comparison of answers.<br />
The downside to the design is that it leaves the respondents<br />
with rather limited possibilities when it comes to<br />
motivate, elaborate and introduce light and shade on<br />
their answers.<br />
Furthermore, it was decided to perform the questionnaire<br />
as a web-based questionnaire. The primary reason as<br />
why to apply this technique was that the questionnaire<br />
has a conditional answering structure, in the sense that<br />
the relevance of some of the later questions relies on the<br />
answers to earlier questions. By opting for a web-based<br />
questionnaire, it is possible to apply a dynamic design<br />
structure to the questionnaire, which makes it possible to<br />
skip questions irrelevant to the respondent (Madsen og<br />
Lahrmann, 2002).<br />
In this case the application of the web-based design<br />
proved to have the weakness that it was hard for some of<br />
the municipalities to gain a full overview of the questionnaire,<br />
which proved to be a problem to them in terms for<br />
them to able to identify the person best suited for answering<br />
specific questions included in the questionnaire.<br />
In order to ensure good quality answers to the questionnaire,<br />
it was decided to direct the questionnaire to the<br />
person(s) responsible for the cycling planning, activities<br />
and projects in each of the 98 Danish municipalities.<br />
These persons were identified by consulting Bicycle networks,<br />
the participation lists from the annual Danish <strong>Bike</strong><br />
Conference and by studying bicycle related planning documents<br />
from the municipalities. For these persons email<br />
addresses were retrieved and stored in a database. Accordingly,<br />
a personal email containing a link to the questionnaire<br />
was sent to each of the contact persons.<br />
The questionnaire was conducted in the summer 2011<br />
(June, July and August).<br />
Participation<br />
From the 98 Danish Municipalities, approximately 70 municipalities<br />
responded. 20 municipalities replied that they<br />
did not have the resources needed to fill out the questionnaire.<br />
50 municipalities activated the web questionnaire<br />
and 41 municipalities completed the questionnaire. This<br />
amounts to an answering rate of 42%.<br />
Smaller as well as larger municipalities have completed<br />
the questionnaire. The answer rate is highest for the<br />
Southern Region of Denmark (68%). However, the questionnaire<br />
is dominated by the larger urban municipalities.<br />
9 out of the 10 municipalities with the highest number of<br />
inhabitants have completed the questionnaire. In general<br />
there is also a high answering rate amongst the Capital<br />
area Municipalities.<br />
The fact that questionnaire is dominated by the larger<br />
urban municipalities is likely to reflect that the questionnaire<br />
has appealed especially to urban municipalities with<br />
an outspoken tradition for focussing upon bicycle transportation.<br />
This represents a bias in the results from the<br />
survey; they are not likely to reflect the general “Danish<br />
Picture” on all aspects, as the results indicate variations<br />
in the answers obtained from the larger urban municipalities<br />
on the one hand side and the “rural” municipalities<br />
on the other hand side. Another contributing reason as to<br />
why the larger urban municipalities are overrepresented<br />
may be that they to a larger extent have the resources to<br />
participate in this kind of survey.<br />
Goals, initiatives and motives<br />
Bicycle traffic is in general highly ranked on the agenda<br />
amongst the municipalities, who have completed the<br />
questionnaire. 75% municipalities state that the have<br />
specific goals on enhancing the use of the bike amongst<br />
the inhabitants, while 83% state that they have improved<br />
conditions for the cyclists as a specific municipal goal.<br />
In terms of planning and prioritizing tools one out three<br />
of the participating municipalities have made a specific<br />
cycling action plan in order to promote the use of bike.<br />
Furthermore 20% of the municipalities are in the process<br />
of making a cycling action plan. These plans typically<br />
contains a goal for promoting cycling and a description of<br />
applied strategies and concrete initiatives that the municipalities<br />
are planning to implement in order to fulfil the formulated<br />
goals, e.g. campaigns, education, investments in<br />
bike infrastructure.
Furthermore, 85% of the municipalities have made or are<br />
in the process of making plans for the provision of pedestrian<br />
and bicycle friendly infrastructure (footpaths, walkways,<br />
bicycle lanes, bicycle tracks, traffic calmed routes<br />
etc.).<br />
Both the formulation of goals and the rather high level of<br />
cycling related plans indicate that cycling is a focus area<br />
amongst the participating municipalities. This also shows<br />
in the fact that 88% of the participating municipalities within<br />
the last five years (2007-2011) have implemented initiatives<br />
aiming at improving the conditions for the cyclists.<br />
83% of the municipalities have indicated that they have<br />
implemented projects specifically aiming at increasing the<br />
use of the bike amongst the inhabitants.<br />
Approximately 25% of the municipalities have invested<br />
more than 10 million DKK in cycling projects and initiatives<br />
from 2007 till 2011, including bicycle tracks, bicycle<br />
lanes, bicycle parking, cycling plans, developing cycling<br />
action plans etc. Only 14% of the participating municipalities<br />
have invested less than 1 million DKK in cycling projects<br />
and initiatives.<br />
The majority of the invested funds have in fact been spent<br />
on actual bicycle infrastructure. More than half of the municipalities<br />
state that at least 80% of the invested funds<br />
has been invested in bicycle tracks, bicycle lanes, bicycle<br />
parking and at intersections, the latter with the focus on<br />
increasing cyclists safety. More specifically the municipal<br />
activities have mainly been focussed upon expanding<br />
the bicycle infrastructure. In that context the municipalities<br />
have prioritized the implementation of actual bicycle<br />
tracks to the implementation of the cheaper solutions;<br />
bicycle lanes and the appointing of bicycle routes along<br />
local roads, the latter not including significant changes to<br />
the existing infrastructure. In the Copenhagen Area focus<br />
has also been on the implementation of cycling commuter<br />
routes, which includes significant improvements to the<br />
bicycle infrastructure, including establishing separate bicycle<br />
tracks and out-of-level crossing of larger roads, thus<br />
ensuring fast connectivity between the suburbs and the<br />
capitol area of Copenhagen.<br />
57% of the municipalities answer that they have not or<br />
only to a limited extent have applied solutions such as;<br />
speed reduction of cycling routes even though this measure<br />
will reduce accident risks and make the cyclist feel<br />
safer in traffic (Greibe et al., 2000). One third of the participating<br />
municipalities are though, to a large extent, working<br />
actively with speed management. Most of the municipalities<br />
are focussed upon improving the conditions for<br />
the cyclists at intersections, with most of them focussing<br />
upon safety issues rather than improving the cyclist flow<br />
at the intersections.<br />
Improving the possibilities of combining the use of bike<br />
and public transport by improving the transfer between<br />
the two modes of transport, has only been implemented<br />
by a minority of the municipalities and only to a limited<br />
extent in the municipalities where this measure has been<br />
implemented.<br />
In general there is a large variation in the extent to which<br />
the municipalities have invested en better parking facilities.<br />
This initiative has mainly been implemented by the<br />
larger urban municipalities. Improved bathing and changing<br />
facilities at work places has been seen as a possible<br />
way of increasing the use of the bike when commuting.<br />
However, this initiative has by and large not been implemented<br />
by the municipalities in Denmark.<br />
In recent year there has been a specific focus upon the<br />
transport behaviour amongst children. It has been a growing<br />
concern that more and more children are driven by car<br />
to school by their parents rather than walking and cycling<br />
themselves. The concern is that this will have a negative<br />
impact on their travel behaviour as adults as they may<br />
grow increasingly in favour of travelling by car than by<br />
cycle in their adult life. Steps have been taken in order<br />
to get more school children to travel by bike, predominantly<br />
by investing in safer school routes. This is also reflected<br />
in the questionnaire as 80% of the municipalities<br />
to some extent have invested in safer school routes, e.g.<br />
by implementing bicycle tracks, employing traffic calming<br />
schemes, pedestrian crossings etc.).<br />
Summing up on the characteristics of the implemented<br />
projects and initiatives, it can be concluded that the municipalities<br />
generally prefers to invest in bicycle tracks,<br />
although this solution is relatively expensive. The questionnaire<br />
does not shed light upon why this is the case.<br />
However, it is likely that the preference towards bicycle<br />
tracks is due to the fact that it holds a highly symbolic<br />
value, “we encourage cycling”, it is perceived as a good<br />
solution in terms of both connectivity and safety and there<br />
is documentation that the construction of bicycle tracks<br />
increase the level of cycling (Jensen, 2006). Finally, and<br />
equally important, bicycle tracks is a solution often in demand<br />
amongst the cyclists.<br />
Motives<br />
When it comes for the municipalities motives for investing<br />
in bicycle projects and initiatives the primary driving<br />
force is actually to reduce the accident risks amongst the<br />
cyclists as well as to improve cyclist security; the latter expressing<br />
the notion of traffic safety/accident risk amongst<br />
cyclists. As opposed to accident risk, which is the objective<br />
measure of traffic safety, security expresses the subjective<br />
measure of traffic safety. Focussing upon the level<br />
of security is relevant in the sense that if people feel safer,<br />
they are more likely to use the bike, in which case the traffic<br />
safety issue becomes relevant in terms of increasing<br />
the use of the bike.<br />
Other dominant motives for the municipalities to invest<br />
in bicycle transport is a desire to enhance public health<br />
and to improve connectivity, and thereby the mobility of<br />
the cyclists. The latter may also prompt more car-users<br />
to opt for the bike at the expense of the bike in the future.<br />
However, in comparison, the desire to move bike-users to<br />
the car in order to reduce environmental strains as well<br />
as congestion problems is to a lesser extent stated as a<br />
specific motivation by the municipalities.<br />
However, in regards to having environmental strains and<br />
congestion problems as motivators for wanting to transfer<br />
car trips into bicycle trips there is a large variation between<br />
the municipalities. The larger urban municipalities<br />
especially states environmental concerns and congestion<br />
problems as a primary motivator, whereas the rural municipalities<br />
does it to a lesser extent. In comparison the<br />
safety and security issue is stated as a primary motivation<br />
by both urban and rural municipalities. The reason<br />
as to why this is the case is likely to boil down to the fact<br />
that the problems in relation to congestion and the environmental<br />
strains are evident in the urban municipalities,<br />
whereas the safety issue is a general concern and problem<br />
no matter the size of the municipality.<br />
Potentials for increasing the use of<br />
the bike<br />
When it comes to increasing the use of the bike in daily<br />
transport, the municipalities state that the largest potential<br />
is related to projects that aim at improving the safety and<br />
security level along the school routes. This reflects the<br />
assumption that if the school routes are perceived as safe<br />
by the parents, the more likely it is that they will allow their<br />
kinds to go to school by bike. Given that increased use of<br />
bike as a child and youngster will led to a higher use of the<br />
bike as an adult the rationale holds.<br />
Besides improving the routes to and from school the municipalities<br />
in general point to improvements of the bicycle<br />
infrastructure as the most promising way of enhancing the<br />
use of bike. The largest potential for promoting the use<br />
of the bike is in the eyes of the municipalities attached to<br />
the construction of bicycle tracks. As bicycle tracks are<br />
perceived as a secure solution this indicates that projects<br />
that seeks to improve both the perception of safety as well<br />
as the level of connectivity are seen as promising projects<br />
by the municipalities.<br />
In assessing the potential for increasing the use of bike<br />
in general it seems as if the perceived potentials seem<br />
to fade with the visibility and clarity of the project. Project<br />
that clearly signals improvements of connectivity and<br />
safety/security are deemed to hold a larger potential than<br />
those with a lesser explicit focus on the cyclists. Specifically,<br />
general speed management at the municipal level<br />
and speed reduction schemes along cycling routes are<br />
deemed to hold a lesser potential than the provision of<br />
cyclist specific infrastructure such as bicycle tracks and<br />
bicycle lanes. The latter seems somewhat surprising in<br />
the sense that the car speed level has significant impact<br />
upon the perceived safety level amongst pedestrians and<br />
cyclists and furthermore it is well-documented that speed<br />
reductions significantly reduces both accident and injury<br />
risks amongst vulnerable road users, including cyclists<br />
(Madsen et al., 2008; Greibe et al., 2000). Based upon<br />
these facts, one could argue that reduced speed levels<br />
would enhance the use of the bike due to actually improved<br />
safety and security levels.<br />
Newer Danish research have documented a 10% increase<br />
in the number of cyclists – in a Copenhagen context<br />
– when new bicycle tracks are constructed in an urban<br />
environment (Jensen, 2006). In order to be able to<br />
prioritize between projects, it would be highly fruitful to set<br />
up evaluation studies aiming at documenting the effects<br />
of speed reductions on the use of the bike. Traditionally<br />
evaluations of speed reductions focus on the safety effects<br />
only.<br />
Potentials for improving traffic<br />
safety for cyclists<br />
When asked to assess the potential for improving traffic<br />
safety amongst cyclists the municipalities again primarily<br />
points to the construction of bicycle tracks. This is somewhat<br />
worrying as Danish research projects have shown<br />
that the construction of bicycle tracks does not significant-
ly improve the traffic safety level amongst cyclists (Agerholm<br />
et al., 2006). The results show that the number of<br />
accidents involving cyclists and the number of cyclists<br />
injured tend to fall on the road stretches, where bicycle<br />
tracks are implemented, but unfortunately the number of<br />
injured cyclists increases significantly at the intersections<br />
after the construction of bicycle tracks (Jensen, 2006).<br />
In comparison the municipalities indicate that the safety<br />
potential related to speed reduction initiative holds a<br />
lower potential, when it comes to improving cyclist safety<br />
than the construction of various types of bicycle tracks<br />
and bicycle tracks. This despite the fact that there is comprehensive<br />
documentation that speed reductions significantly<br />
reduces accident and injury risks, see e.g. Elvik<br />
(2004).<br />
This misconception of safety potentials is highly unfortunate<br />
from a safety point of view, as municipalities may opt<br />
for the construction of safety-inefficient bicycle tracks with<br />
the desire to promote safety rather than safety-efficient<br />
traffic calming schemes. Furthermore, the result highlights<br />
the importance of clearly communicating the results<br />
of traffic research projects to the municipalities.<br />
such as the provision of various types of bicycle tracks<br />
and lanes on the one hand side and more general traffic<br />
calming projects on the other hand side.<br />
Given the investment in bike promoting projects and initiatives<br />
in Denmark, scientifically sound evaluations of the<br />
effects; being safety effects as well as cycling effects, are<br />
hard to come by. Therefore the municipalities were asked,<br />
if they do counts of cyclists before and after the implementation<br />
of cycling projects. Half of the participating municipalities<br />
actually stated that they had done before-after<br />
counts, which was actually more than expected. The survey<br />
does not reflect, if they have done before-after counts<br />
in relations to one project only or if they do before-after<br />
counts in all cases. However, when asked if the before-after<br />
counts could be made available for a scientific beforeafter<br />
evaluation of cycling effects, only 8 municipalities<br />
responded positive.<br />
In order to provide further knowledge of the effects of bicycle<br />
promoting projects this reflects that it would be fruitful<br />
to provide further incentives for doing relevant beforeafter<br />
registrations at the municipal level as well as setting<br />
up a common set of guidelines for performing evaluations<br />
of bike-promoting projects and initiatives.<br />
References<br />
Agerholm, N., Caspersen, S., Lahrmann, H. og Madsen, J. C. O., 2006, Cykelstiers Trafiksikkerhed: En før-efterundersøgelse<br />
af 46 nye cykelstiers sikkerhedsmæssige effekt, Article in ”Dansk Vejtidsskrift”, Vol 83, no. 12, p.p. 52-57<br />
Elvik, R., Christensen, P. and Amundsen, A., 2004, Speed and Road Accidents: An evaluation of the Power Model, TOI<br />
<strong>Report</strong> 740/2004, Institute of Transport Economics<br />
Greibe, P., Nilsson, P. K. og Herrstedt, L., 2000, Håndbog i Hastighedsplanlægning for Byområder, Vejdirektoratet, Rapport<br />
194<br />
Jensen, S. U., 2006, Effekter af Cykelstier og Cykelbaner: Før-og-efter evaluering af trafiksikkerhed og trafikmængder ved<br />
anlæg af ensrettede cykelstier og cykelbaner i Københavns Kommune, Trafitec<br />
Madsen, J. C. O. og Lahrmann, H., 2002, Webbaserede Spørgeskemaer i Transportundersøgelser, Paper ”Trafikdage på<br />
<strong>Aalborg</strong> <strong>Universitet</strong> 2002”, Trafikforskningsgruppen, <strong>Aalborg</strong> <strong>Universitet</strong><br />
Madsen, J. C. O. og Søbjærg, S., 2008, Trafikfarlige skoleveje – udpegning og vurdering, Vejforum 2008<br />
Transportministeriet, 2009, Aftale mellem regeringen (Venstre og De Konservative), Socialdemokraterne, Dansk Folkeparti,<br />
Socialistisk Folkeparti, Det Radikale Venstre og Liberal Alliance om: En grøn transportpolitik, Transportministeriet.<br />
The need for further evaluations<br />
of effects<br />
The results from the questionnaire generally reflect that<br />
the municipalities favour the provision of bicycle tracks.<br />
It can be documented that the number of cyclists increases<br />
when new bicycle tracks (and bicycle lanes) are<br />
constructed, whereas there is no documentation that the<br />
provision of bicycle tracks in urban areas will improve the<br />
safety level. Recent research seems to reflect that the<br />
number of injured cyclists is in fact likely to increase (Jensen,<br />
2006; Agerholm et al., 2006).<br />
By consequence the municipalities should only opt for<br />
the construction of bicycle tracks, if the aim is to increase<br />
the level of cycling. If the aim is to improve cyclist safety,<br />
the municipalities are likely to do better, if traffic calming/<br />
speed reducing schemes is implemented. In terms of the<br />
latter, there is a need for evaluations that investigate how<br />
traffic calming and speed reducing schemes affect the<br />
level of cycling. Documented knowledge on the effects<br />
upon cycling will generally improve the grounds for prioritizing<br />
between dedicated bike infrastructure projects
Tables/illustrations<br />
Indicated levels of investment in bicycle projects and initiatives amongst the participating municipalities (2007-2011).<br />
Activity<br />
Not To a limited To some To a large To a very<br />
implemented extent extent extent large extent<br />
Campaigns 15 % 15 % 41 % 20 % 9 %<br />
Provision of bicycle 8 % 9 % 17 % 43 % 23 %<br />
tracks<br />
Provision of bicycle lanes 34 % 20 % 40 % 6 % -<br />
Provision of bicycle<br />
routes along local roads<br />
57 % 31 % 6 % 6 % -<br />
Provision of bike<br />
commuter routes<br />
59 % 12 % 17 % 6 % 6 %<br />
Speed reduction of<br />
bicycle<br />
routes<br />
(with/without bicycle<br />
34 % 23 % 32 % 11 % -<br />
facilities)<br />
General<br />
speed<br />
management schemes 27 % 31 % 9 % 24 % 9 %<br />
applied<br />
Better traffic flow for<br />
cyclists at intersections<br />
20 % 28 % 29 % 20 % 3 %<br />
Improvement of cyclist<br />
safety at intersections<br />
6 % 17 % 37 % 29 % 11 %<br />
Improved transfer<br />
between bike and public 47 % 21 % 24 % 6 % 3 %<br />
transport (bus/train)<br />
Improved parking<br />
facilities for bicycles<br />
29 % 29 % 21 % 18 % 3 %<br />
Improved changing and<br />
bathing facilities at<br />
80 % 10 % 10 % - -<br />
Safety improvements of<br />
school routes<br />
9 % 11 % 40 % 23 % 17 %<br />
Extent to which, the municipalities indicate to have implemented various cycling related activities<br />
in the period 2007 – 2012.<br />
No potential<br />
Limited<br />
potential<br />
Potential<br />
Large<br />
potential<br />
The municipalities’ assessment of bike use promoting potentials of given projects and initiatives.<br />
Huge<br />
potential
No potential<br />
Limited<br />
potential<br />
Potential<br />
Large<br />
potential<br />
Huge<br />
potential<br />
The municipalities’ assessment of bike safety promoting potentials of given projects and initiatives.
SECTION TWO: BIKE INFRASTRUCTURES<br />
VICTOR ANDRADE<br />
HENRIK HARDER<br />
OLE B. JENSEN<br />
JENS MADSEN
CONTENTS<br />
1.0 INTRODUCTION 6<br />
2.0 METHODOLOGY 8<br />
3.0 CASES 14<br />
3.1 CASE 1: SHARED SPACE VESTERGADE VEST AND MAGELØS 16<br />
3.1.1 ODENSE 16<br />
MUNICIPALITY VISION 16<br />
BICYCLE NETWORK 18<br />
3.1.2 VESTERGADE VEST AND MAGELØS 20<br />
BEFORE AND AFTER 22<br />
THE COSTS OF VESTERGADE VEST AND MAGELØS 22<br />
DESIGN CHARACTERISTICS AND STREETSCAPE 24<br />
CYCLIST COUNTINGS 36<br />
THE WEB SURVEY 38<br />
MAIN FINDINGS 39<br />
RESIDENTIAL LOCATION OF RESPONDENTS 39<br />
DESCRIPTIVE STATISTICS 42<br />
RELATIONS BETWEEN SOCIO-DEMOGRAPHIC VARIABLES AND WEB-SURVEY ANSWERS 48<br />
3.2 CASE 2: BICYCLE TRACK HANS BROGES GADE 64<br />
3.2.1 ÅRHUS 64<br />
MUNICIPALITY VISION 64<br />
BICYCLE NETWORK 66<br />
3.2.2 HANS BROGES GADE 68<br />
BEFORE AND AFTER 68<br />
THE COSTS OF HANS BROGES GADE 68<br />
DESIGN CHARACTERISTICS AND STREETSCAPE 70<br />
CYCLIST COUNTINGS 84<br />
THE WEB SURVEY 86<br />
MAIN FINDINGS 87<br />
RESIDENTIAL LOCATION OF RESPONDENTS 87<br />
DESCRIPTIVE STATISTICS 90<br />
RELATIONS BETWEEN SOCIO-DEMOGRAPHIC VARIABLES AND WEB-SURVEY ANSWERS 96<br />
3.3 CASE 3: BICYCLE BRIDGE BRYGGEBRO 112<br />
3.3.1 COPENHAGEN 112<br />
MUNICIPALITY VISION 112<br />
BICYCLE NETWORK 116<br />
3.3.2 BRYGGEBRO 118<br />
BEFORE AND AFTER 118<br />
THE COSTS OF BRYGGEBRO 118<br />
DESIGN CHARACTERISTICS AND STREETSCAPE 120<br />
CYCLIST COUNTINGS 140<br />
THE WEB SURVEY 142<br />
MAIN FINDINGS 143<br />
RESIDENTIAL LOCATION OF RESPONDENTS 143<br />
DESCRIPTIVE STATISTICS 146<br />
RELATIONS BETWEEN SOCIO-DEMOGRAPHIC VARIABLES AND SURVEY ANSWERS 152<br />
4.0 GENERAL COMPARISON 168<br />
5.0 CONCLUSION 174<br />
REFERENCES 176<br />
LIST OF FIGURES 180<br />
LIST OF TABLES 187<br />
ANNEX 196
1.0 INTRODUCTION<br />
Decisions on transportation projects are typically based<br />
on the potential for the project to contribute to broad public<br />
policy goals. Danish urban design solutions and urban<br />
policies effort aim to increase bike-ability. To make the<br />
best use of transportation funds there is a critical need for<br />
better information about two important considerations relating<br />
to bicycle infrastructure: the cost of different bicycle<br />
infrastructure and the effects of such investments have on<br />
bicycle use, which includes the resulting environmental,<br />
economic, public health, and social benefits. Therefore,<br />
information on how determined bicycle infrastructure enhances<br />
cycling will help decision makers to develop better<br />
design solutions.<br />
The achieved knowledge will be used to contribute to<br />
more efficient and qualified urban planning and management<br />
– promoting a better quality bike-ability of urban<br />
structures as possible and assess potential effect of investments<br />
in bicycle infrastructure.<br />
Therefore, this research project will inform urban designers<br />
and planners in the context of Danish municipalities<br />
by identifying opportunities and barriers for cycling in the<br />
physical environment. Bridging research and policy, the<br />
findings of this research project can also support bike<br />
friendly design and planning, and cyclist advocacy.<br />
This research project picks up from this conclusion and<br />
focuses on the possible effects of changes to the cycling<br />
infrastructure, investigating and analyzing cycling motivation<br />
related to distinct bike infrastructure typology characteristics.<br />
This research aims to identify bicycle infrastructure typologies<br />
and design elements that can help promote cycling<br />
significantly. The study was structured as a study<br />
case based research where there were three cycling infrastructures<br />
with distinct typologies – Vestergade Vest in<br />
Odense (shared-use space in the core of the city); Hans<br />
Borges Gade in Aarhus (an extension of a bicycle route<br />
linking the suburb to Aarhus Central station) and Bryggebro<br />
in Copenhagen (a bridge for cyclists and pedestrians<br />
crossing the harbor) – were analyzed and compared.<br />
In order to achieve this goal, the study got a more detailed<br />
insight in what design characteristics are relevant for cyclists<br />
when riding a bike and how cyclists do evaluate a<br />
cycling infrastructure based on these characteristics.<br />
To achieve this goal, this report is organized as follows.<br />
First, there is a debate in regards to the main concepts<br />
and notions used in this research. In section 2, the research<br />
method is explained. This section is followed by<br />
a description of the research sample. In section 3, the<br />
analysis of each of the three cases is presented. A comparative<br />
analysis between the three cases is described in<br />
section 4. Finally, the report ends with conclusions and<br />
suggestions for future research and also for urban designers,<br />
planner and engineers.<br />
Figure 1.1: Cyclist riding his bike at Bryggebro.<br />
6 7
2.0 METHODOLOGY<br />
The report presents a methodology and tools for mapping<br />
and evaluating the potential benefits of the implementation<br />
of bicycle infrastructure. The results will help to better<br />
understand what characteristics from a bicycle infrastructure<br />
are relevant to enhance cycling. Consequently, the<br />
findings will also help urban designers and planners to<br />
develop more effective bicycle infrastructures.<br />
There is also an effort to better understand how relevant<br />
socio-demographic variables are in relation to the individuals`<br />
perception of bicycle infrastructures and to possible<br />
influential design characteristics on the decision to ride<br />
a bike.<br />
Through ex-post studies of three bicycle infrastructures<br />
with distinct typologies, this research aims to identify design<br />
characteristics that can enhance bicycling. The studies<br />
are based on the impact of the bicycle infrastructures<br />
on cyclists` travel behavior and the cyclists` views upon<br />
the design characteristics of the infrastructures.<br />
Moreover, the report has a brief description of the implementation<br />
process of the selected bicycle infrastructures<br />
and the local government context that regards cycling<br />
network and campaigns.<br />
THE CASE STUDIES AND SELECTION<br />
CRITERIA<br />
First of all, it is relevant to mention that this research does<br />
not intent to represent an exhaustive analysis of all typologies<br />
of infrastructure and neither all new infrastructures<br />
implemented in Danish cities in the last 5 years.<br />
While some critical analysis was done to select the particular<br />
three case studies analyzed in this report, their inclusion<br />
depended to a great extent on three criteria: recently<br />
implemented infrastructures (less than 5 years); distinct<br />
typologies between the cases; and located in municipalities<br />
which were interested and willing to share detailed<br />
information about the interventions.<br />
The infrastructure should be less than 5 years old, presenting<br />
a reasonable time to individuals that ride their bicycles<br />
there to remember their travel habits before and<br />
after the intervention.<br />
Three interventions with distinct typologies were subjected<br />
to ex-post studies: Vestergade Vest and Mageløs in<br />
Odense (shared-use space in the core of the city); Hans<br />
Broges Gade in Aarhus (improvement of a section of an<br />
existing bicycle corridor that links the suburbs to the core<br />
of the city) and Bryggebro in Copenhagen (a bridge for<br />
cyclists and pedestrians crossing the harbor).<br />
ÅRHUS<br />
ODENSE<br />
Figure 2.1: Location of the cities from the three case studies<br />
COPENHAGEN<br />
DATA COLLECTION AND ANALYSIS<br />
The project applies a multi-disciplinary approach to research<br />
on bicycle infrastructure, correlating quantitative<br />
determinants and qualitative knowledge types.<br />
Both primary and secondary data have been employed.<br />
For each infrastructure, the data was collected through<br />
a questionnaire based on a web survey, counting of cyclists,<br />
local observation, diary of the daily flow and atmosphere<br />
and image collection, interviews and exchange of<br />
e-mails with key actors, review of reports, official documents,<br />
newspaper articles and press releases.<br />
According to Denzin (1978), a triangulation method can<br />
be defined as "the combination of methodologies in the<br />
study of the same phenomenon”. Considering the geometric<br />
characteristics of a triangle, it can be assumed that<br />
distinct viewpoints allow for greater accuracy.<br />
BICYCLE COUNT<br />
The bicycle count is a strategic tool to better understand<br />
how changes in an infrastructure either encouraged or<br />
discouraged cycling. The bicycle count from Hans Broges<br />
Gade and Bryggebro was provided by respectively Aarhus<br />
municipality and Copenhagen Municipality.<br />
In the case of Vestergade Vest and Mageløs, a manual<br />
count was done on the Tuesday the 12th of September<br />
2010. The manual count is defined as a count where one<br />
or more data collectors register the volume of traffic (Vejdirektoratet,<br />
2004).<br />
The data collectors used counting boards with manual<br />
click counters fitted to them and they recorded their<br />
counts on a paper sheet at the counting board after each<br />
thirty minute periods. In addition, the counting sheet also<br />
included the following information: date, day of the week,<br />
weather condition and data collector`s name.<br />
The count can be conducted manually or with automatic<br />
count technologies; having both advantages and disadvantages.<br />
Because the counts were done manually, it<br />
was possible to have two categories – cyclists riding a<br />
bike and cyclists walking and pushing their bikes.<br />
The data collected was the number of cyclists riding a<br />
bike and cyclists walking with their bikes in each direction<br />
on the midpoint of Vestergade Vest and Mageløs. The<br />
counts were done by a team of three field data collectors.<br />
There was always one data collector for each direction<br />
at the counting point from 7am until 7 pm. A third counter<br />
functioned as a backup, making possible for every data<br />
collector have a break every hour.<br />
The count was taken over a 12-hour period between 7<br />
a.m. and 7 p.m on a Wednesday of September. And following<br />
the recommendations of the Vejdirektoratet (2004),<br />
the data collectors that developed the counting were<br />
placed in a spot that did not interfere with the traffic flow.<br />
In order to minimize the chance of external interferences<br />
– weather, sport events, manifestations – in the data collected,<br />
the date of the counting was carefully picked.<br />
The Vejdirektoratet (2004) suggests that the count should<br />
be taken on Tuesday, Wednesday or Thursday in September.<br />
Due to their sporadic travel patterns, Monday and<br />
Friday should be avoided for not being representative of<br />
a typical weekday.<br />
In parallel of the count activity, a diary was written describing<br />
the different flow patterns, speed and atmosphere of<br />
the infrastructures through the day.<br />
DATA ANALYSIS<br />
After the data collection, an ex-post analysis of the counting<br />
figures was implemented. Moreover, it developed a<br />
relation between the count figures and the diary with the<br />
description of the different flow patterns, speed and atmosphere<br />
of the infrastructures through the day.<br />
The data was compiled and displayed on graphs to make<br />
comparisons that are useful for analytical purposes. A<br />
graph with the results was also used to develop a comparison<br />
with the diary of the infrastructure and images<br />
taken during the day.<br />
AN ANALYSIS OF BIKE INFRASTRUC-<br />
TURE PERFORMANCE THROUGH THE<br />
LENGHTS OF<br />
CYCLISTS<br />
The bicycle is an important and strategic means of transport<br />
in urban areas. In Danish cities, the traffic system<br />
already offers a large amount of bicycle infrastructures<br />
– e.g. bicycle lanes with special pavement, bicycle tracks,<br />
green corridors, shared spaces – and cycling policies,<br />
campaigns and cyclist friendly traffic regulations.<br />
In this context, it emerges a need to measure the impact<br />
on travel behavior of the new bicycle infrastructures implemented<br />
in urban areas. Having three case studies, this<br />
report expands on how these assessments can be done.<br />
The web based survey was conducted aiming to define<br />
how much the implementation of the bicycle infrastructure<br />
had enhanced cycling, to identify influential design factors<br />
in the decision to cycling and to assess the bicycle infrastructure<br />
through the lengths of the cyclists.<br />
In order to analyze bicycle infrastructures through the<br />
lengths of cyclists, the web survey targeted the cyclists as<br />
potential respondents. The web survey involved designing<br />
a questionnaire to find out the cyclists perception of<br />
cycling infrastructures and what characteristics of these<br />
infrastructures have encouraged or discouraged cycling.<br />
Relevant questions in the context of cyclists perception<br />
and evaluation of cycling infrastructure are ‘what design<br />
characteristics do cyclists mostly observe/perceive while<br />
they are using the cycling infrastructure?’ and ‘how do cy-<br />
8 9
clists evaluate these design characteristics?’.<br />
However, there are several studies focusing in the cyclists<br />
perception of the physical environment where they are<br />
travelling through and most of them conclude that cyclists<br />
have a small knowledge of the physical environment their<br />
used to travelling through (Bovy et al, 1990; Landis et al,<br />
1997; Noël et al, 2003).<br />
Despite this small knowledge cyclists have, it is important<br />
both to identify which design characteristics from a<br />
bicycle infrastructure are relevant for them when they are<br />
riding a bicycle and to develop an assessment of a cycling<br />
infrastructure based on the cyclists perspective.<br />
Taking in consideration social demographic characteristics<br />
– gender, age and educational level – the study<br />
also aims to better understand how relevant socio-demographic<br />
variables are in relation to the individuals` perception<br />
of cycling infrastructures and to possible influential<br />
characteristics on the decision to ride a bike.<br />
WEB SURVEY<br />
There is an increasing number of web-based surveys, being<br />
important to highlight the specific design characteristics<br />
of this tool. Manfeda et al. (2002) comments that<br />
“Since there is no help from an interviewer for the respondent<br />
taking a Web survey, the design of self-administered<br />
Web questionnaires is even more important in order to<br />
achieve high data quality. Question wording, form and<br />
graphic layout of the questionnaire are particularly important.”<br />
The web survey has a great advantage to get the data<br />
already in an electronic format and the electronic format<br />
can also eliminate data entry errors. Moreover, the web<br />
survey made it possible to do a non stop flow of cyclists<br />
in the studied infrastructures. Through the distribution of<br />
web-cards, we have achieved our target group and, at the<br />
same time, we did not disturb their routine.<br />
Through comparative studies between responses rate of<br />
web surveys to other survey modes, Lozar (2001) highlights<br />
that web surveys usually obtain lower response<br />
rates. Complementing, Gonzalez-Bañales and Adam<br />
(2007) indicates that response rate for web surveys is<br />
around 10% or lower.<br />
In order to optimize the number of respondents, complex<br />
questions should be avoided and the web survey should<br />
only be closed after six weeks from the distribution of the<br />
web card. (Gonzalez-Bañales and Adam, 2007)<br />
The web survey design, implementation and analysis<br />
were divided in five phases: planning the survey; writing<br />
the questionnaire; designing the web questionnaire and<br />
web cards; distributing the web cards; and data treatment<br />
and analysis.<br />
It should be considered that of the studied population<br />
could be unwilling to devote much time to a web survey.<br />
In order to optimize the response rates and the number of<br />
completions, it was needed to make the survey as short<br />
as possible but still enabling to gather all the relevant information.<br />
The use of incentives can additionally contribute to attract<br />
respondents. As a strategy to attract more respondents, a<br />
lottery having a bicycle – with the value of 3500DKK – as<br />
price is presented in the web cards and web page. All the<br />
respondents participated in the lottery.<br />
At the web page, there was an image of the cycling infrastructure<br />
being analyzed by the respondents and the logo<br />
from <strong>Aalborg</strong> University. Moreover, it provided information<br />
about the research project and goals, contact for further<br />
inquiries, information about the lottery and an explanation<br />
about the privacy policy in regards to the respondents.<br />
QUESTIONNAIRE<br />
The questionnaire was designed aiming to find the demographic<br />
profile of the cyclists, the relevant design characteristics<br />
for the cyclists and which extended the implementation<br />
of the infrastructure enhancing cycling. Cyclists<br />
were asked to indicate which cycling infrastructure characteristics<br />
they had observed during their trip. They were<br />
also asked to evaluate the observed cycle infrastructure<br />
characteristics. In addition, respondents were invited to<br />
make comments about the infrastructure (see model of<br />
the questionaire on page 198).<br />
In order to develop the survey – especially the questionnaire<br />
– journal articles and research reports in the area of<br />
urban cycling studies were reviewed to identify consistent<br />
infrastructure characteristics that could enhance cycling<br />
– e.g. safety, aesthetics, accessibility, fast connectivity<br />
(Pikora, T. et al, 2003; Kweon, B.S. et al, 2004). At the<br />
end of the questionnaire, there was a space for general<br />
comments.<br />
Figure 2.2: Screen print view from the Vestergade Vest`s questionnaire.<br />
FLYER DISTRIBUTION<br />
For every studied infrastructure, the distribution of the flyers<br />
occurred from 7am until 7 pm in one weekday (Tuesday,<br />
Wednesday or Thursday) with good weather conditions<br />
(no rain or heavy wind) in the month of September.<br />
From 7am until 7pm, web cards were offered to every cyclist<br />
riding a bicycle in the infrastructure in both directions.<br />
The flyers were distributed on the same day of the count<br />
survey. For each of the cases, the web survey was available<br />
from the date of the web card distribution until four<br />
weeks later (see model of the flyer on page 197).<br />
Vestergade Vest and Hans Broges Gade <br />
Bryggebro <br />
Mageløs <br />
Flyers distribution & web survey opening September 14/Tuesday September 2/Thursday September 1/Wednesday <br />
Web survey closing October 12 October 1 September 30 <br />
Table 2.1: Date of flyers distribution, web survey opening and web survey closing for<br />
the three case studies.<br />
SVAR PÅ SPØRGSMÅLENE<br />
VIND EN NY CYKEL<br />
PILOT WEB SURVEY<br />
ØNSKER DU EN<br />
BEDRE CYKELBY?<br />
VI ER MIDT I ET FORSKNINGSPROJEKT OM CYKELBYEN OG<br />
MANGLER NETOP DIN HJÆLP TIL AT FORBEDRE DEN.<br />
DET GØR DU VED AT SVARE PÅ FÅ SPØRGSMÅL PÅ:<br />
www.detmangfoldigebyrum.dk/vestergade/<br />
For yderligere information om projektet:<br />
vsil@create.aau.dk<br />
VESTERGADE VEST & MAGELØS<br />
SVAR PÅ SPØRGSMÅLENE<br />
Figure 2.3: Flyer distributed to individuals riding a bike at Vestergade Vest and<br />
Mageløs on the 2nd of September 2010.<br />
VIND EN NY CYKEL ØNSKER DU EN<br />
BEDRE CYKELBY?<br />
VI ER MIDT I ET FORSKNINGSPROJEKT OM CYKELBYEN OG<br />
MANGLER NETOP DIN HJÆLP TIL AT FORBEDRE DEN.<br />
DET GØR DU VED AT SVARE PÅ FÅ SPØRGSMÅL PÅ:<br />
A pilot web survey was carried out under the same conditions<br />
than the real survey. The pilot web survey was<br />
www.detmangfoldigebyrum.dk/vestergade/<br />
For yderligere information om projektet:<br />
vsil@create.aau.dk<br />
held in the street named Vesterbro (<strong>Aalborg</strong>) in August of<br />
2010. VESTERGADE The pilot VEST web & MAGELØS survey functioned as a review of the<br />
SVAR PÅ SPØRGSMÅLENE<br />
VIND EN NY CYKEL<br />
questionnaire and the associated data collection methodology.<br />
After the pilot web survey, the necessary modifications<br />
in the questionnaire were made accordingly.<br />
THE STUDIED POPULATION AND<br />
SAMPLE SIZE<br />
Respondents of the survey are bicyclists that have at<br />
least once ride a bicycle in the studied infrastructure.<br />
Despite of the consideration that part of the studied population<br />
would be unable to access the Internet, the Internet<br />
users are becoming more and more similar to the general<br />
population because the accelerate increase in internet<br />
usage (Pastore, 2001).<br />
Vestergade Vest Hans B. Gade Bryggebro<br />
and Mageløs<br />
Total no bicycle trips/ day 6446 1251 7352<br />
Estimated n o bicyclists/ day 4189 813 4778<br />
(65% of total)<br />
Flyers handed 1328 605 3020<br />
Respondents 298 163 290<br />
Table 2.2: Number of bike trips, cyclists, flyers handed out and a number of respondents<br />
for the three case studies.<br />
DATA ANALYSIS<br />
The data analysis aimed to better understand the impact<br />
of the examined infrastructures in the bicycling activity.<br />
The data collected was examined and uncover relationships<br />
among the data were highlighted.<br />
Data collected from the questionnaires were entered into<br />
the statistical software Statistical Package for Social Science<br />
(SPSS) for analysis and then statistical tests were<br />
applied to identify describe the results and level of dependency<br />
between variables.<br />
Table and graphics are also used for displaying the data<br />
in a variety of formats in order to identify patterns and differences<br />
among the results set.<br />
The collected data from the web survey was analyzed<br />
in the four different stages and using a distinct statistical<br />
treatment.<br />
Firstly, the residential location of the respondents was<br />
spatially identified and then analyzed in relation to the<br />
distance to the infrastructure. In a second stage, Descriptive<br />
statistics were applied to describe collected data and<br />
highlight singular characteristics and relevant patterns.<br />
Socio-demographic patterns of the respondents were<br />
identified and the distribution of the answers was described<br />
with patterns.<br />
Finally, the Chi2 test was applied to identify possible relations<br />
between socio-demographics (independent variables)<br />
and the variables originated from the web survey<br />
questions (dependable variables). Considering the nature<br />
of the studied variables – the majority of them are nominal<br />
– the Chi2 test was selected to this analysis.<br />
10 ØNSKER DU EN<br />
11<br />
BEDRE CYKELBY?
INTERVIEW AND ELETRONIC<br />
CORRESPONDENCE WITH KEY<br />
ACTORS<br />
Through non-structured interviews and electronic correspondence,<br />
personal opinion and information about<br />
the studied infrastructures were also gathered from both<br />
technicians from the studies municipalities and cyclists.<br />
DATA ANALYSIS<br />
A data basis was developed in the Excel with all the interviews<br />
and questionnaires. This data base identifies relevant<br />
information to be used in the report. The interviews<br />
and electronic correspondence functioned as support information<br />
to the count figures and web survey findings.<br />
FIELD OBSERVATIONAL SURVEY AND IM-<br />
AGE COLLECTION<br />
Observation is a major source in the field research, the<br />
three infrastructures were analyzed in loco, local conditions<br />
during the day were observed and a diary was writing.<br />
The observation aimed to identify possible design<br />
characteristics of the infrastructures that may affect people’s<br />
traveling behavior.<br />
The design detail characteristics analyzed in loco were:<br />
infrastructure typology, pavement material and lay out,<br />
on-street parking facilities, priority signs at crossings, hierarchy<br />
of the modes of transport (pedestrians, cyclists,<br />
car drivers), traffic calming solutions, public art, signage,<br />
greenery, lightning (day and night) bicycle paths and<br />
lanes.<br />
DATA ANALYSIS<br />
An image data base was implemented and the material<br />
was used in several sections of the report to visually<br />
exemplify findings. Moreover, images took from the site<br />
were used to compare with the counting and illustrate the<br />
local conditions throughout the day.<br />
The descriptions from the diary were also a strategic data<br />
used to be compared with the count figures and the web<br />
survey findings.<br />
Figure 2.4: Member of the research team delivering flyers to cyclists at Vestergade Vest and Mageløs on September 14th 2010.<br />
12 13
3.0 CASES<br />
ODENSE<br />
SHARED SPACE<br />
VESTERGADE VEST AND MAGELØS<br />
AARHUS<br />
BICYCLE TRACK<br />
HANS BROGES GADE<br />
COPENHAGEN<br />
BICYCLE BRIDGE<br />
BRYGGEBRO
3.1 CASE1<br />
shared space vestergade vest and magelØs<br />
3.1.1 ODENSE<br />
Odense is the third largest Danish municipality and has a<br />
population of 188777 inhabitants in 2010 (Statistikbanken,<br />
2010). The municipality is located in the island of Funen<br />
and it is part of the South Denmark Region.<br />
ODENSE<br />
Figure 3.1.1: Geographical location of Odense.<br />
MUNICIPALITY VISION<br />
In December 1993, the Danish government presented<br />
a strategic plan for sustainable transportation – named<br />
Traffic 2005 – aiming to create a balance between economic<br />
development and environment based on principles<br />
of sustainable growth. One of the main objectives was to<br />
increase the share of cyclists in overall individual transportation<br />
in the country until 2005 (Trafikministeriet, 2000)<br />
In order to achieve this objective, 4% of individual transportation<br />
should be moved from private automobile to bicycle<br />
or walking. In practice, it means that all trips shorter<br />
than three kilometres should start to be made by private<br />
motorized vehicles to healthier and environmentally<br />
friendly modes – cycling and walking.<br />
In that context, Odense was selected to function as a lab<br />
for new solutions and became the National <strong>Bike</strong> City and<br />
it was name “Odense <strong>Bike</strong> City”. The main goal was to<br />
increase 2% of trips made by bike in the period from 1999<br />
until 2002.<br />
The Danish Ministry of Traffic and the Danish Road Directorate<br />
financially supported Odense with ten million<br />
Danish krones to implement solutions aiming to enhance<br />
cycling. The Odense counterpart was ten million Danish<br />
krones. A broad range of projects were implemented,<br />
ranging from campaign activities to physical interventions<br />
in the built environment.<br />
In 2002, the Odense municipality achieved the projects<br />
main goal, increasing more than 2% the share of cyclists<br />
in comparison with figures from 1999. In 2008, Odense<br />
municipality decided to revitalize its policies towards cycling<br />
and started to promote itself as the Cyclists` City and<br />
presented this vision for its own future:<br />
“Odense must be a city where cyclists have the best<br />
conditions because Odense makes the experience of cycling<br />
easier, safer, more comfortable and more exciting”<br />
(Odense Municipality, 2010f).<br />
Currently, 25% of all commuting trips – to work or study<br />
– are made cycling in Odense (Odense Municipality,<br />
2010d). The goal within the vision is to increase the<br />
amount of trips on bike 25% in 2012 to have reached a<br />
total increase of 35% in 2020 in relation to the 2007 numbers.<br />
Further 10% more cyclists should feel safe in traffic<br />
(Odense Municipality, 2010c).<br />
According to Figure 3.2, 25% of the trips made in Odense<br />
have a bike as a transportation mode. The amount of bike<br />
trips peeked with 27% of the total in 2000 – during the<br />
period of the National Cyclists City policies – and then<br />
went down to 24% in 2006. In 2008, the starting year of<br />
its new vision as the Cyclists’ City, the amount was 25%.<br />
Therefore, Odense municipalitys goal is to achieve a ratio<br />
of 32,5% of bike trips from the overall traffic count.<br />
Currently, all the cyclist related campaigns from Odense<br />
municipality are organized under the umbrella of the vision<br />
named Cyklisternes By – or Cyclists` city. The decision<br />
to change the title of its vision from “Odense Bicycle<br />
City” to “Odense Cyclists` City” was based on the intention<br />
of change the focus from the bikes towards their cyclists.<br />
A webpage has been launched for the new branding with<br />
news, information, cyclist maps etc. The Odense Cyclists`<br />
city campaign also has a weekly column in the local newspaper<br />
– Fyens Stiftstidende – every Thursday since July<br />
2010 (Odense municipality, 2010g).<br />
In the international level, Odense municipality has built its<br />
own stand on the 2010 Shanghai Expo where there the<br />
image of city is represented by both its bike infrastructure<br />
and cyclists and the fellow-townsman Hans Christiansen<br />
Andersen (Odense Municipality, 2010h).<br />
According to the interview with Dorthe Råby and Rune<br />
Bugge Jensen, one of the challenges that Odense municipality<br />
faces is to convince commuters living 5 kilometres<br />
away from the core of the city to use their bikes as<br />
main transportation mode to go work or study. Tackling<br />
this challenge, Odense Municipality has launched a campaign<br />
in the spring 2010 where it lent 100 electric bikes<br />
during a period of six months to car users living more than<br />
5 kilometres away from the centre. A new round of the<br />
campaign started in autumn 2010.<br />
Another strategic action towards enhancing cycling was<br />
to implement monitors in the main bike infrastructures of<br />
the municipality counting and displaying the amount of<br />
cyclists riding their bikes per day and per year (Odense<br />
municipality, 2010e).<br />
100%<br />
80%<br />
60%<br />
40%<br />
20%<br />
0%<br />
13%<br />
8%<br />
15%<br />
55% 52% 48%<br />
24%<br />
6%<br />
27%<br />
22% 22% 17%<br />
4%<br />
26%<br />
1998 2000 2002 2004 2006 2008<br />
Figure 3.1.2: Distribution of the trips by transport modes within Odense Municipality<br />
from 1998 until 2008. Source: Danmarks Statistik.<br />
7%<br />
47%<br />
24%<br />
OTHER PUBLIC TRANSPORTATION CAR BICYCLE<br />
3%<br />
55%<br />
25%<br />
16 17
BICYCLE NETWORK<br />
The majority of the streets in Odense are bike friendly<br />
and bikes have the same hierarchy than motorized vehicles.<br />
Moreover, Odense municipality has a total of 510<br />
kilometres of bicycle tracks and lanes (Odense municipality,<br />
2010a).<br />
In comparison to Copenhagen municipality, Odense municipality<br />
has approximately more 110 kilometres of bike<br />
tracks and lanes. It means that Odense municipality has<br />
2,7 metres per inhabitant of bike lanes and tracks, while<br />
Copenhagen municipality has 0,77 metres of cycle track<br />
per Inhabitant. (Statistikbanken, 2010).<br />
MAGELØS<br />
Signaturforklaring<br />
Seværdigheder<br />
Cykelpumper<br />
Cykelparkering<br />
Asfalterede stier<br />
Grusstier<br />
Cykelring<br />
Rekreative grusstier<br />
Banegård<br />
Turistinformation<br />
N<br />
VESTERGADE VEST<br />
Points of interest<br />
Bicycle pumps<br />
Bicycle parking<br />
Paved paths<br />
Unpaved paths<br />
Bicycle route in the city<br />
Nature paths<br />
Railway station<br />
Tourist information<br />
N<br />
Figure 3.1.3: Map of the main bike tracks and lanes in Odense`s inner city.<br />
Source: Odense Municipality.<br />
Figure 3.1.4: Ortophoto of Vestergade Vest and Mageløs. Modified from original picture from Google Earth<br />
N<br />
18 19
3.1.2 VESTERGADE VEST AND MAGELØS<br />
The intervention in Vestergade Vest and Mageløs was<br />
completed on the 19th of August 2010. The former crowded<br />
street by motorized vehicles was transformed in a<br />
shared-used space for pedestrians, cyclists and a future<br />
central electrical bus ring – being allowed the access for<br />
cargo-carrying motorized vehicles. All the buses were rerouted<br />
to parallel streets nearby. (Odense municipality,<br />
2009i).<br />
The transformation of Vestergade-Vest and Mageløs is<br />
part of an overall plan to improve quality of urban life within<br />
the core of Odense described in the Traffic and Mobility<br />
Plan 2008 (Odense municipality, 2009i).<br />
During the first 14 days after the street was closed for<br />
for vehicles, several elements were inserted in the<br />
streetscape – plastic guiding markers, bicycle parking<br />
racks, ping pong tables, etc – and then Vestergade Vest<br />
and Mageløs started to look more like flexible and informal<br />
space and open for different experiences.<br />
The former car lane and sidewalk pavements were kept.<br />
During the 14 days intervention, several drawings were<br />
made in the pavements. These drawings have diverse<br />
functions where some of them indicate the beginning of<br />
the shared-user space and others have a more playful<br />
purpose.<br />
And on the 15th of September, the main editor of the Fyens<br />
Stiftstidende wrote “Bicycles must be out of pedestrian<br />
streets” (Fyens Stiftstidende, 2010c). Both articles<br />
were questioning if it is possible to have a schared-use<br />
space environment for pedestrians and cyclists.<br />
A study conducted from Gehl Architects indicated that the<br />
amount of pedestrians in the core of the city was decreasing.<br />
One of the pointed reasons is the increasing competition<br />
between street based retail and large commercial<br />
centres located in the outskirts of Odense – for example<br />
the shopping centre named Rosengårdscenteret that has<br />
a 100.000 m2 of stores.<br />
In that context, the municipality has been implementing<br />
several physical interventions towards a more lively urban<br />
core in the near. According to the interview with Dorthe<br />
Råby and Rune Bugge Jensen, one of the main targets<br />
of these interventions is the improvement to the quality of<br />
the experience of walking and cycling.<br />
On the first of August 2010, Vestergade Vest and Mageløs<br />
were closed for motorized vehicles traffic and the urban<br />
transformation began. The approach to change the street<br />
was done in a rather untraditional way. Due to low budget,<br />
it was decided to try to change the street through minimal<br />
interventions with temporary elements that would be easy<br />
to rearrange things that did not work out properly.<br />
The Vestergade Vest and Mageløs can be seen as a lab<br />
where temporary interventions were made in order to understand<br />
how the population would react to new experiences<br />
and the public space. The pavements and levels of<br />
the former street were kept and elements were inserted<br />
in the streetscape to indicate pedestrian only paths along<br />
facades and shared space in the middle of the road.<br />
The entire urban transformation took only 14 days and the<br />
official opening was on the 14th of August 2010. But the<br />
project is not finalized yet and the intention is exactly that:<br />
to be a designing in process space. More elements will be<br />
added over time as well as evaluations of the space might<br />
change the layout over time.<br />
The intervention made possible to implement new changes<br />
with a low cost. After the first month, the technicians<br />
from the municipality had feedback from users – pedestrians,<br />
cyclists, shopkeepers, people dining, etc – and then<br />
rearrangements were made with the mobile equipments<br />
and plastic markers were relocated.<br />
Rune Bugge Jensen – landscape architect from Odense<br />
Municipality and responsible for the design solution at<br />
Vestergade Vest and Mageløs – has emphasized how<br />
important is to improve urban life experience in the core<br />
of Odense. In regards the intervention at Vestergade Vest<br />
and Mageløs, he mentioned<br />
“I wanted to push the limits from what experiences people<br />
have in the public space and I also wanted to make them<br />
start to question and reflect for what a public space could<br />
be used for… It has been very provocative to put ping<br />
pong tables on the former motorized vehicle lanes… It<br />
has been a challenge to reinvent the former motorized vehicle<br />
lanes into a space for urban life, play and exercise”<br />
(interview with Rune Bugge Jensen, 2th of September,<br />
2010).<br />
The new layout promotes walking, cycling, shopping,<br />
playing and eating. It also offers the opportunity to promote<br />
products outside shops and to have outdoor seating<br />
for cafes and restaurants.<br />
Since the opening of the new shared-use space, there<br />
has been quite some media attention on the street. On<br />
the 13th of September, the local newspaper – Fyens<br />
Stiftstidende – wrote an article with the headline “Chaos<br />
plagues the new pedestrian street” (Fyens Stiftstidende,<br />
2010b).<br />
Figure 3.1.5: Article with the title “Bicycles must be out of pedestrian streets”, published<br />
on 15th of September in the newspaper Fyens Stiftstidende (Fyens Stiftstidende,<br />
2010c).<br />
Figure 3.1.6: Article with the title “Chaos in the pedestrian streets”, published on 15th<br />
of September in the newspaper Fyens Stiftstidende (Fyens Stiftstidende, 2010b).<br />
20 21
BEFORE AND AFTER<br />
BEFORE<br />
Formerly, Vestergade Vest and Mageløs had more than<br />
two hundred buses passing every day causing noisy<br />
pollution, air pollution and also inhibiting a more friendly<br />
space for pedestrians, cyclists and other potential activi-<br />
AFTER<br />
After the urban transformation, the public space changed<br />
its profile completely – enhancing walking, cycling, shopping,<br />
eating, playing, etc. According to the interview with<br />
Dorthe Råby and Rune Bugge Jensen, the urban transformation<br />
has been enhancing a discussion about public<br />
domain and also has regenerated the image of Vestergade<br />
Vest and Mageløs towards a lively spot.<br />
THE COST OF VESTERGADE VEST AND<br />
MAGELØS PROJECT<br />
Due to the municipality short budget, the technicians<br />
had to develop a proposal with a cost of only five hundred<br />
Danish krones. The challenge was rewarding and<br />
the technicians came up with a creative solution, using<br />
temporary elements that made it possible to rethink the<br />
design concept through the time.<br />
Currently, the Technical Department from Odense Municipality<br />
is applying for more than three hundred Danish<br />
krones for further improvements in Vestergade Vest and<br />
Mageløs.<br />
Figure 3.1.7: View of Vestergade Vest from the 10th of May 2010. Source: Odense Municipality<br />
Figure 3.1.8: View of Vestergade Vest from the 2nd of September 2010.<br />
22 23
DESIGN CHARACTERISTICS<br />
DESIGN CONCEPT<br />
Vestergade Vest and Mageløs is a very funky and diverse<br />
space encompassing cafés, entertainment, restaurants,<br />
shops, and playful elements. The street was originally a<br />
stream of cars infiltrating into the core of the city, it has<br />
now being closed off and strictly reserved for everyone<br />
from cyclists to pedestrians, families and youths. It is a<br />
very progressive shared user space created on a very<br />
low budget of only 500,000 krones, which has pushed the<br />
imagination even further into a fusion of creativity. It is<br />
also a very temporary and flexible space where experimentation<br />
can take place. Technically the street it is about<br />
240 metres long and 15 metres wide consisting of one<br />
lane in the middle with sidewalks on both sides of the<br />
street. Fundamentally it is a continuation of the pedestrian<br />
and shopping street Vestergade.<br />
TECHNICAL DRAWINGS<br />
Since this project was completed on a very low budget no<br />
technical drawings were done.<br />
SURFACE AND FLOW STRUCTURE<br />
The flow of cyclists and pedestrians at Vestergade Vest<br />
and Mageløs moves in multiple directions with the main<br />
flow of cyclists through the middle of the street. Sidewalks<br />
are reserved solely for pedestrians with the lane in the<br />
middle of the street shared equally by pedestrians and<br />
cyclists. Traffic flow in the morning is relatively calm as no<br />
pedestrians are congesting the space allowing cyclists to<br />
flow freely through. Cyclists are focused and know exactly<br />
how to navigate and avoid other cyclists.<br />
In the afternoon the street transforms into a multiple<br />
shared space, therefore the flow is a bit more congested.<br />
The pedestrians begin to occupy the shared space in the<br />
middle of the street thus disturbing the flow of eager cyclists.<br />
Conversely there are many pedestrians crossing<br />
the street while cyclists and pedestrians are diverting into<br />
many directions creating a complex situation.<br />
The flow structure in the afternoon is then completely different<br />
from the morning flow. In the evening the shops<br />
close down at 6 pm and people begin to bounce around<br />
the space in multiple directions crowding the infrastructure,<br />
some going out for dinner, some going out to get<br />
drunk. At the same time cyclists are eager to ride fast<br />
through the street creating a complex and chaotic zone<br />
where cyclists need be weary of crossing pedestrians,<br />
and pedestrians need to be weary of fast moving cyclists<br />
(Figure 3.1.10).<br />
Pedestrian<br />
path<br />
<strong>Bike</strong> path<br />
Pedestrian<br />
crossing<br />
<strong>Bike</strong> path<br />
Figure 3.1.10 Section and plan of Vestergade Vest and Mageløs.<br />
Pedestrian<br />
path<br />
Legend<br />
Blue: Shared Space<br />
Green: Safe Space<br />
Turquoise: Cycle Parking<br />
Pink: Outdoor Cafe<br />
Yellow: Playground<br />
Figure 3.1.9 Draft of the design concept of Vestegade Vest and Mogeløs. Source: Odense Municipality.<br />
24 25
PAVING MATERIAL DESIGN<br />
VELOCITIES<br />
The pavement in the street utilises a flagstone material.<br />
The sidewalks are in a light color in contrast to the lane<br />
in the middle of the street which is in a darker color. Between<br />
the lane and the sidewalk there is a line made of<br />
the same flagstones turned in the other direction. The<br />
lane is lowered by 10 cm and together with the opposite<br />
stones it marks the border between the two speed levels.<br />
(Figure 3.1.11)<br />
To slow down the speed of the cyclists there is a speed<br />
bump placed in one of the most critical points of the street<br />
where many programs like a café, ping pong tables and<br />
shops are placed side by side (Figure 3.1.12). In the<br />
morning cyclists are trying to avoid the speed bump by<br />
taking a detour at the sidewalk instead of continuing the<br />
lane. In the afternoon it is more difficult for the cyclists to<br />
avoid the speed bump because of the crowded pedestrian<br />
flow on the sidewalks (Figure 3.1.13)<br />
Figure 3.1.12: Speed hump at Vestergade Vest<br />
CYCLIST AVOIDING<br />
SPEED HUMP<br />
SPEED HUMP<br />
In the morning the street is not occupied by shop signs or<br />
café tables like it is in the afternoon making it possible for<br />
the cyclists and delivery vans to move swiftly unobstructed<br />
through the street. On contrary to the afternoon when<br />
the street is more crowded producing a more congested<br />
and chaotic flow. However cyclists still persist to ride at<br />
high speeds, but they are disturbed by pedestrians moving<br />
in multiple directions and at slower paces. It means<br />
that the cyclists sometimes have to brake suddenly or<br />
come to a complete stop and carry their bike through the<br />
space.<br />
In the evening the street is calmer and there are not as<br />
many people on the street so cyclists can go a lot faster.<br />
To restrict cyclists going to too fast a speed hump has<br />
been built into the street, although as previously mentioned<br />
many cyclists go onto the pedestrian path to avoid<br />
the speed hump (Figure 3.1.15).<br />
Figure 3.1.15: Speed hump<br />
On the sidewalks there are blue plastic guides integrated<br />
in the pavement showing where the shops are allowed<br />
to place their signs and articles see Figure 3.16. This<br />
solution is good for the pedestrians because it ensures<br />
that they have enough room for walking. The guides help<br />
give the shop owners borders for their signs, however<br />
some shops like Superbrugsen challenge the signage<br />
and place their signs into in the middle of the street which<br />
creates less room for the cyclists and pedestrians. The<br />
surface of the street is generally in a good condition and it<br />
has not been modified at all. Also there are no cracks and<br />
potholes which mean that it is safe for the users to move<br />
on the street (Figure 3.1.14).<br />
FLAGSTONE<br />
Figure 3.1.13: Cyclists avoiding speed hump.<br />
BLUE PLASTIC GUIDES<br />
VEHICLES<br />
Vehicles are not allowed to enter the street, but it’s possible<br />
for delivery vans with an errand to enter the street<br />
during the day, but they must take the cyclists and pedestrians<br />
into consideration. Also from 10pm to 6am, taxis<br />
are permitted in the area.<br />
When a delivery van or a cargo truck is driving through the<br />
street it blocks the street and it is not easy for the cyclists<br />
and pedestrians to access the street in their usual way.<br />
They have to find another way to get through the street<br />
and sometimes the cyclists have to get off their bike.<br />
There is also a big problem with the mopeds, which disturb<br />
the street because of their speed and noisy sounds.<br />
Figure 3.1.16: Cargo trucks<br />
LIGHTER<br />
DARKER<br />
Figure 3.1.14: Blue plastic guides at Vestergade Vest.<br />
Figure 3.1.17: <strong>Bike</strong>s and motorized vehicles<br />
Figure 3.1.11: Pavement material.<br />
26 27
BICYCLE PARKING<br />
TREES AND LANDSCAPING DESIGN<br />
One of the main elements in the shared space is the bike<br />
parking racks, which makes it possible for the cyclists to<br />
park their bikes right in the center of the pedestrian shopping<br />
area. In the afternoon the racks are full and occupy a<br />
major part of the shared user space and congest the room<br />
of pedestrian flow. In the morning and evening time there<br />
is not so many bicycles parked in the racks thus freeing<br />
up the space more (Figure 3.1.18 and Figure 3.1.19).<br />
Even though there are many bicycle racks a large amount<br />
of bikes are parked in front of the shops and lean against<br />
signs, taking up a lot of the space on the sidewalks thus<br />
making it difficult for the pedestrians to move unobstructed<br />
(Figure 3.1.20 and 3.1.21).<br />
Figure 3.1.19: <strong>Bike</strong> parking racks<br />
The most dominating greenery in the streetscape are the<br />
trees. Different kinds of trees exist but the most common<br />
is the marble tree, which is placed in the centerline of the<br />
sidewalks (Figure 3.1.22).<br />
Additionally there are different kind of green elements, like<br />
small flower bowls and green fences, which are used by<br />
the shops and cafés to define the entrances or the private<br />
space for café tables. In one spot there are a couple of big<br />
flower bowls placed between the lane and the sidewalk.<br />
The placement and existence of the green elements produces<br />
a warm and inviting atmosphere (Figure 3.1.23).<br />
Figure 3.1.22: Trees and landscaping design<br />
Figure 3.1.18: <strong>Bike</strong> parking racks.<br />
Figure 3.1.20: Parked bikes in front of shops<br />
Figure 3.1.23: Trees and landscaping design<br />
Figure 3.1.21: Parked bikes in front of shops<br />
28 29
STREET FURNITURE<br />
Technical elements<br />
Garbage bins are placed at the sidewalks and have different<br />
shapes and characters. Some of them are standing<br />
on the ground and some are lifted up from the ground by<br />
rods. And several of them have special notes to make<br />
people use them. In front of all the entrances and the<br />
backyards to the street small poles have been erected to<br />
prevent vehicles from entering the space.<br />
STREET LIGHTS<br />
In the evening the street is lit up by hanging street lamps<br />
from the middle of the street and by lamps placed on the<br />
sidewalks. Additionally the shop windows light up the<br />
street creating a more inviting night atmosphere (Figure<br />
3.1.27).<br />
Urban elements<br />
There are no benches in the street and if people want to<br />
sit down they must go to a café or to the benches at the<br />
pedestrian shopping streets.<br />
Figure 3.1.24 Street games painted in the pavement.<br />
The street also contains colorful playful elements which<br />
include a couple of ping pong tables and a letter game<br />
which is drawn on the ground (see Figures 3.1.24 and<br />
3.1.26). In the afternoon the street is usually very crowded<br />
and it is difficult to use the playful elements, but in the<br />
morning and evening it is calmer creating more access<br />
to use them. The playful elements supply the street with<br />
a more lively and relaxed atmosphere and enhance the<br />
concept of a shared user space (Figure 3.1.25).<br />
GAMES<br />
BIKE SYMBOL<br />
CAFE<br />
SPACE<br />
TABLE TENNIS<br />
SHOP SIGNS<br />
Figure 3.1.25: Layout of streetscape.<br />
Figure 3.1.27: Street lights<br />
Figure 3.1.26: Street furniture<br />
30 31
SIGNAGE<br />
The street offers different kinds of signs which give information<br />
about various subjects. The most dominating<br />
signs in the street are the shop signs which are placed at<br />
the entrances or at the front of the shops (Figure 3.28).<br />
These signs are very noticeable due to their use of the<br />
colorful graphics and design. Other signage includes information<br />
by municipality dictating different rules about<br />
the traffic flow and other transportation modes that are<br />
allowed to enter the street (Figure 3.1.29). Some of them<br />
also give information about attractions in the city that may<br />
be interesting to visit. They designed to look old and lead<br />
you to different parts of the city such as cultural sites like<br />
squares, theaters, museums and other exciting places<br />
(Figure 3.1.31). The last category of signs is those which<br />
are integrated into the design of the street. These signs<br />
give information about the use of the space in a more<br />
playful way and is indicated by the symbol of a footprint<br />
and bicycle wheels painted onto the pavement (Figure<br />
3.1.30)<br />
Figure 3.1.28: Shop signs.<br />
In general there are no signs in the street telling you about<br />
speed and behavior, but that is also the concept of shared<br />
space. The signage is functional because it both gives<br />
information about legal and cultural issues relating to the<br />
city.<br />
Figure 3.1.29: Signage dictating rules about how to use the space.<br />
Figure 3.1.30: Playful sign informing the transportation modes allowed.<br />
Figure 3.1.31: Signage designed to look old.<br />
32 33
PUBLIC ART OR OTHER UNIQUE<br />
FEATURES<br />
The street pavement hosts some kind of art in the form<br />
of painted words which gives synonymous of the street<br />
name; Mageløs. This is located only at one spot in the<br />
street and does not repeat in other places (Figure 3.1.32).<br />
Compensating for the minimum byways is a series of<br />
small corridors through and between buildings opening<br />
up for cyclists and pedestrians to enter the street. The<br />
entrance from east is in a cross of two pedestrian streets<br />
in eastern direction, Vestergade-east, and northern direction,<br />
Kongensgade, and the continuous shared space between<br />
cyclists and pedestrians in the southern direction<br />
in the street Mageløs. The link between the two streets<br />
has been marked with a curve, signalising that this is only<br />
road to enter for cyclists. The link is paved with cobbled<br />
stones, different from both the pavement on Vestergade<br />
and in the pedestrian streets (Figure 3.1.33 and 3.1.34).<br />
BUILT ENVIRONMENT AND USES<br />
The street is faced by buildings with two to four stories.<br />
The ground floor is primarily used for commercial activity<br />
with shops, cafes and food vendors. The higher stories<br />
are used for residences.<br />
The buildings facing the street are part of a medieval<br />
structure with various different building volumes behind<br />
them. The blocks are not enclosed block structures, rather<br />
small open networks within the blocks. Many people<br />
enter the street through building corridors coming from<br />
the spaces behind the buildings facing the street (Figure<br />
3.1.35)<br />
Figure 3.1.32: Painted words in the pavement.<br />
ACCESSIBILITY AND INTERSECTIONS<br />
The street is accessed from the intersection of Vesterbro<br />
and Ny Vestergade on the western end, from a crossing<br />
of two pedestrian streets, Vestergade(east) and Kongensgade,<br />
and from Mageløs which is a shared cyclist<br />
and pedestrian street, in the eastern end.<br />
Where Vestedgade Vest and Mageløs meet there is a<br />
change in the materials which marks that you have to<br />
slow down and be aware of the street. Entrance from<br />
Vesterbro is marked with a shift from asphalt paving continuing<br />
around a curve and the pedestrian sidewalk continuing<br />
in a similar curve. This facility was probably made<br />
to signal no entry for cars in the former one-way street<br />
in Vestergade. Entering the street happens from a dedicated<br />
bicycle path. When leaving, a bicycle path does not<br />
appear until approximately 300 meters later.<br />
Only one byway is entering the street. The street, Pantheonsgade,<br />
is located 70 meters from the exit in western<br />
end. The entrance to Vestergade is made with no regulations,<br />
but like mentioned earlier a path of special pavement<br />
has been implemented in Vestergade to signal the<br />
beginning of the byway.<br />
Figure 3.1.33: Crossing point paved with cobbled stones.<br />
Figure 3.1.34: Intersection between Vestergade Vest and Mageløs.<br />
Figure 3.1.35: Built environment around Vestergade Vest and Mageløs.<br />
34 35
NO. OF CYCLISTS PER HOUR ON SEPTEMBER 14TH 2010<br />
NO. OF PEDESTRIANS WITH BIKES PER HOUR ON SEPTEMBER 14TH 2010<br />
500<br />
50<br />
400<br />
40<br />
300<br />
30<br />
200<br />
20<br />
100<br />
10<br />
CYCLIST COUNTINGS<br />
NUMBER OF CYCLISTS<br />
7-8<br />
8-9 9-10 10-11 11-12 12-13 13-14 14-15 15-16 16-17 17-18 18-19<br />
AGAINST VESTERGADE<br />
FROM VESTERGADE<br />
7-8<br />
8-9 9-10 10-11 11-12 12-13 13-14 14-15 15-16 16-17 17-18 18-19<br />
AGAINST VESTERGADE<br />
FROM VESTERGADE<br />
1000<br />
800<br />
600<br />
400<br />
200<br />
0<br />
7-8<br />
8-9 9-10<br />
10-11 11-12<br />
12-13<br />
13-14 14-15 15-16<br />
16-17 17-18 18-19<br />
7-8<br />
700 bikes<br />
Bicycles in high speed. No other transportation<br />
modes<br />
Figure 3.1.36: Cyclists counting and traffic flow at Vestergade Vest and Mageløs.<br />
9-10<br />
350 bikes<br />
Cargo hour and lowest numbers in<br />
morning.<br />
12-13<br />
500 bikes<br />
Different transportation modes<br />
and uses in the street.<br />
15-16<br />
850 bikes<br />
Large number of cyclists and pedestrians.<br />
Different transportation modes<br />
and uses in the street.<br />
18-19<br />
380 bikes<br />
Street gets empty and cyclists riding<br />
their bikes in high speed<br />
36 37
THE WEB SURVEY<br />
The web survey analysis is divided in four sections. Firstly,<br />
main findings are presented. The second section describes<br />
the spatial distribution of the residential location<br />
of the respondents. Thirdly, it is presented a descriptive<br />
statistic to analyze all the answers. In search of finding relationships<br />
between socio-demographic variables and the<br />
web survey answers, the last section presents a statistical<br />
analysis using the Chi2 test.<br />
A total of 298 individuals that were riding a bike at Vestergade<br />
Vest on September 14 answered the questionnaire<br />
in the period between September 14 and October 12.<br />
From the count done in September 14, there were 6446<br />
bicycle trips at Vestergade Vest from 7am until 7pm – including<br />
both directions. Estimating that 35% of these cyclists<br />
ride their bikes at least once per day in the infrastructure,<br />
it was stipulated a total of 4189 individuals ride<br />
a bike at Vestergade Vest per day.<br />
A total of 1328 web flyers were distributed to individuals<br />
riding their bikes in the infrastructure from 7am until 7pm<br />
and from these total 298 answered the questionnaire.<br />
Based on these figures, the respondents represents<br />
7,12% of the total of individuals riding a bike per day in<br />
the infrastructure and 22,43% of individuals that collected<br />
the flyer on September 14 while riding a bike.<br />
MAIN FINDINGS<br />
In conclusion the data from the survey reveals a picture<br />
of Vestergade Vest as a piece of infrastructure used for a<br />
balanced distribution of purposes (39% to work, 34% to<br />
shopping, 15% educational institutions and 12% to others<br />
destinations). The figures are directly connected to the<br />
built environment were the infrastructure is located – the<br />
core of the city with several working places, shops and<br />
educational institutions in the surroundings.<br />
After the Chi2 test was applied, the results highlight that<br />
most of the answers do not have a relation with socio-demographic<br />
conditions. However, some representative relations<br />
between the independent variables – gender, age<br />
and educational level – and the questionnaire answers<br />
were identified.<br />
There is a relation between the main trip purpose when<br />
riding a bike at Vestergade Vest and both gender, age and<br />
educational level.<br />
The impact of the intervention in Vestergade Vest in the<br />
individuals` decision to ride a bike more often has also a<br />
relation both with gender, age and educational level.<br />
The findings highlight that gender is a strategic variable<br />
which has a relation with the satisfaction with the design<br />
solution for Vestergade Vest, safety and signage conditions<br />
at the infrastructure.<br />
Finally, age seems to have a relation with the frequency<br />
that individuals ride a bike at Vestergade Vest and their<br />
opinion on regards obstacles against cyclists riding at the<br />
infrastructure.<br />
The following section provides the actual data for each of<br />
the questions asked.<br />
RESIDENTIAL LOCATION OF<br />
RESPONDENTS<br />
The residential addresses of the respondents – individuals<br />
riding a bike at Vestergade Vest and Mageløs on<br />
September 14 – were registered and geo-referenced in<br />
order to produce a map (see Figure 3.37). According to<br />
the Table 3.43, the majority of the respondents (65,9%)<br />
live within a radius of 2 kilometer and 92,6% of them living<br />
within 5 kilometers distance from the infrastructure.<br />
Respondents living more than 5 kilometers from the infrastructure<br />
correspond to 7,4% of the total and from this<br />
amount only 14,2% are living more than 10 kilometers<br />
away of the infrastructure.<br />
0-1 KM 1-2 KM 2-3 KM 3-4 KM 4-5 KM 5-10 KM 10-15 15-20 20 KM<<br />
KM KM<br />
NO. DWELLINGS 134 62 42 20 17 19 1 2 1<br />
% DWELLINGS 45,0% 20,8% 14,1% 6,7% 5,7% 6,4% 0,3% 0,7% 0,3%<br />
Table 3.1.1: Absolute and percentage distribution of respondents according to the distance of their residential location from Vestergade Vest and Mageløs.<br />
38 39
10 km<br />
30 km<br />
5 km<br />
20 km<br />
4 km<br />
15 km<br />
3 km<br />
10 km<br />
2 km<br />
5 km<br />
1 km<br />
N<br />
N<br />
Figure 3.1.37: Spatial distribution of the respondents according to their residential location – 5km map.<br />
Figure 3.1.38: Spatial distribution of the respondents according to their residential location - 20km map<br />
40 41
DESCRIPTIVE STATISTICS<br />
AGE<br />
AGE<br />
40%<br />
35%<br />
30%<br />
25%<br />
20%<br />
EDUCATION LEVEL<br />
40%<br />
35%<br />
30%<br />
25%<br />
20%<br />
EDUCATION LEVEL<br />
HOW OFTEN DO YOU GO ON VESTERGADE WITHOUT<br />
WALKING AT VESTERGADE BIKE? VEST<br />
35%<br />
30%<br />
25%<br />
20%<br />
HOW OFTEN DO YOU USE THE BIKE FOR THE PURPOSE<br />
IN THE PREVIUS QUESTION AFTER THE OPENING OF<br />
FREQUENCY OF TRIPS TO THE MAIN PURPOSE<br />
VESTERGADE?<br />
3% 2%<br />
8%<br />
7%<br />
6%<br />
NO ANSWER<br />
MORE RARELY<br />
15%<br />
10%<br />
5%<br />
0%<br />
NO 00 - 10<br />
ANSWER YEARS<br />
11 - 20<br />
YEARS<br />
21 - 30<br />
YEARS<br />
31 - 40<br />
YEARS<br />
41 - 50<br />
YEARS<br />
51 - 60<br />
YEARS<br />
61 - 70<br />
YEARS<br />
71 - 80<br />
YEARS<br />
81 - 90<br />
YEARS<br />
15%<br />
10%<br />
5%<br />
0%<br />
NO ANSWER<br />
PUBLIC<br />
SCHOOL<br />
VOCATIONAL<br />
EDUCATION<br />
HIGH<br />
SCHOOL<br />
SHORT<br />
HIGHER<br />
EDUCATION<br />
MEDIUM<br />
HIGHER<br />
EDUCATION<br />
LONG<br />
HIGHER<br />
EDUCATION<br />
15%<br />
10%<br />
5%<br />
0%<br />
NO ANSWER 6-7 DAYS OF<br />
WEEK<br />
5 DAYS OF<br />
WEEK<br />
3-4 DAYS OF<br />
WEEK<br />
1-2 DAYS OF 1-3 DAYS OF<br />
WEEK MONTHS<br />
MORE<br />
RARELY<br />
74%<br />
NOT AS OFTEN<br />
JUST AS OFTEN AS BEFORE<br />
MORE OFTEN<br />
MUCH MORE OFTEN<br />
Figure 3.1.39: Distribution of the respondents by age groups.<br />
Figure 3.1.41: Distribution of the respondents by educational level.<br />
Figure 3.1.43: Distribution of the respondents by the frequency they walk at Vestergade<br />
Vest and Mageløs.<br />
Figure 3.1.45: Distribution of the respondents by the frequency they ride a bike in<br />
Vestergade Vest and Mageløs for the main purpose mentioned in the Figure 3.1.44<br />
after the intervention in the site.<br />
The majority of the respondents at Vestergade Vest and<br />
Mageløs are between 21-30 years of age (36%), followed<br />
by respondents aged 31-40 (14%), 41-50 aged (15%),<br />
and 51-60 aged (17%). Older respondents range from<br />
61-70 years old (9%). Younger respondents were aged<br />
between 11-20 (6%), and 3% gave no answer. This results<br />
shows that Vestergade Vest and Mageløs mainly is<br />
used by the younger generation of 21-30 years old followed<br />
by a more even distribution of people between the<br />
A large majority of respondents answered that they have<br />
a medium and long high education (35%), followed by<br />
a long, higher education (21%). 11% respondents answered<br />
that they had attended higher education for a<br />
short amount of time, and another 11% respondents answered<br />
a vocational education. 13% of the respondents<br />
had a gymnasium education, 6% had receiving a public<br />
school education, and 2% giving no answer. The majority<br />
of the respondents using Vestergade Vest therefore have<br />
a medium higher education followed by a long higher education.<br />
Respondents were asked if they walk or stay at Vestergade<br />
Vest and Mageløs without bike. The three main<br />
groups of respondents answered 1-2 days of week (29%),<br />
1-3 days of months (27%) or rarely without bike (19%).<br />
11% answered 3-4 days a week, 7% answered 5 days a<br />
week, 5% 6-7 days of week and 3% gave no answer. The<br />
results show that cyclists do also use Vestergade Vest<br />
and Mageløs for walking.<br />
Respondents were asked, how often they used the bike<br />
for their main purpose as answered in the previous question<br />
after the opening of Vestergade Vest and Mageløs.<br />
74% of respondents answered that they travel for that<br />
purpose just as often as before. 6% of respondents stated<br />
that they bike for that purpose more often and 8% said<br />
much more often. 7% answered that they traveled less<br />
often and 2% much less often. 3% gave no answer. This<br />
data indicates that the opening of Vestergade Vest and<br />
Mageløs has had a very small impact on the amount of<br />
travelers. 14% in total traveling more often and 9% in total<br />
GENDER<br />
GENDER<br />
2%<br />
44%<br />
54%<br />
Figure 3.1.40: Distribution of the respondents by gender<br />
NO ANSWER<br />
MAN<br />
WOMEN<br />
RIDING A BIKE AT VESTERGADE VEST<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
0%<br />
NO ANSWER<br />
HOW OFTEN DO YOU BIKE ON VESTERGADE?<br />
6-7 DAYS OF<br />
WEEK<br />
5 DAYS OF<br />
WEEK<br />
3-4 DAYS OF<br />
WEEK<br />
1-2 DAYS OF<br />
WEEK<br />
1-3 DAYS OF<br />
MONTHS<br />
Figure 3.1.42: Distribution of the respondents by the frequency they ride a bicycle at<br />
Vestergade Vest and Mageløs.<br />
MORE<br />
RARELY<br />
MAIN TRIP PURPOSE<br />
34%<br />
WHAT IS YOUR PURPOSE ON VESTERGADE?<br />
15%<br />
4%<br />
2%<br />
3%<br />
3%<br />
39%<br />
NO ANSWER<br />
TRANSPORTATION TO AND FROM<br />
WORK<br />
RECREATION / LEISURE<br />
VISIT FAMILY / FRIENDS<br />
PURCHASING / SHOPPING<br />
TRANSPORTATION TO AND FROM<br />
SCHOOL<br />
OTHERS<br />
Figure 3.1.44: Distribution of the respondents according to the main trip purpose<br />
when riding a bike at Vestergade Vest and Mageløs.<br />
SATISFACTION WITH VESTERGADE VEST<br />
HOW SATISFIED ARE YOU WITH VESTERGADE?<br />
32%<br />
8%<br />
3%<br />
21%<br />
9%<br />
Figure 3.1.46: Distribution of the respondents by the level of satisfaction with the<br />
design of Vestergade Vest and Mageløs.<br />
27%<br />
NO ANSWER<br />
VERY DISSATISFIED<br />
DISSATISFIED<br />
NEUTRAL<br />
SATISFIED<br />
VERY SATISFIED<br />
When asked about their gender, 54% (160) of the respondents<br />
were women and 44% (132) were men, with 2% (6)<br />
giving no answer.<br />
When asked how often they bike at the site, a majority<br />
of the respondents said that they use Vestergade Vest 5<br />
days per week (33%) or 6-7 days per week (27%). 17%<br />
of the respondents used the site 3-4 days per week, 13%<br />
answered 1-2 days per week, 6% answered 1-3 days per<br />
month and only 1% rarely ride a bike at Vestergade Vest.<br />
The figures highlight that the site is a place where people<br />
bike many days of the week.<br />
When asked for what purpose the respondents use<br />
Vestergade. 39% answered that they use the infrastructure<br />
for commuting to and from work. 34% used Vestergade<br />
for shopping, 15% used it to commute to school, 3%<br />
answered to see friends or family, 3% for recreation, 4%<br />
said other and 2% gave no answer. This figure shows<br />
that Vestergade Vest and Mageløs mainly is an urban<br />
space used for commuting and shopping.<br />
When asked how satisfied the respondents were with<br />
Vestergade Vest and Mageløs 32% said they were satisfied<br />
and 27% were very satisfied. 21% were neutral, 8%<br />
were dissatisfied and 9% very dissatisfied. 3% gave no<br />
answer. This figure shows that only a little more than half<br />
(59%) of the respondents are satisfied with urban space<br />
and 17% of the users have issues with the design. Therefore<br />
there are issues that need to be improved to get a<br />
higher level of satisfied people.<br />
42 43
VESTERGADE VEST AND MAGELØS’ DESIGN<br />
AND SAFETY<br />
SAFETY<br />
35%<br />
30%<br />
25%<br />
VESTERGADE VEST AND MAGELØS’ DESIGN AND<br />
AESTHETICS AESTHETICS / BEAUTY<br />
40%<br />
35%<br />
30%<br />
CONFLICT EXCEEDING BETWEEN THE BOUNDARIES DIFFERENT OF BICYCLE TRANSPORT<br />
PATHS,<br />
SIDEWALKS AND LANES<br />
MODES<br />
25%<br />
3%<br />
9%<br />
NO ANSWER<br />
PAVEMENT PROBLEMS<br />
PAVEMENT PROBLEMS<br />
5% 4% 4%<br />
6%<br />
NO ANSWER<br />
20%<br />
15%<br />
10%<br />
5%<br />
25%<br />
20%<br />
15%<br />
10%<br />
19%<br />
18%<br />
26%<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
26%<br />
55%<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
0%<br />
5%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.1.47: Distribution of the respondents according to their opinion about how<br />
the Vestergade Vest`s design fulfilled the bicyclist safety aspect.<br />
0%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.1.49: Distribution of the respondents according to their opinion about how<br />
the Vestergade Vest and Mageløs’ design fulfilled the aesthetics aspect.<br />
Figure 3.1.51: Distribution of the respondents according to their opinion about how<br />
problematic is the conflict between different transport modes at Vestergade Vest and<br />
Mageløs.<br />
Figure 3.1.53: Distribution of the respondents according to their opinion about how<br />
problematic the pavement is at Vestergade Vest and Mageløs.<br />
Users were asked about the quality regarding the safety<br />
needs of the infrastructure. The largest amount of respondents<br />
(31%) thought the design did a bad job and 18%<br />
stated that it did a very bad job. 20% were neutral on the<br />
issue, and only 6%% answered it did a very good job and<br />
21% that it did a good job. 3% gave no answer. This result<br />
thereby shows that there are great problems with the perception<br />
of cyclists in regards safety at safety Vestergade<br />
Vest and Mageløs.<br />
VESTERGADE VEST AND MAGELØS’ DESIGN AND<br />
FAST CONNECTIVITY<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
0%<br />
FAST CONNECTION<br />
The respondents were asked about the aesthetics of the<br />
design of Vestergade Vest and Mageløs, and the majority<br />
of respondents stated that it either did very good (36%)<br />
or a very good (9%) job. A great part of the respondents<br />
were neutral (96) in regards to beauty and aesthetics.<br />
14% said it did a bad job and 5% said a very bad job.<br />
3% were giving no answer. The figure shows that there<br />
is room for improving the aesthetics of the space even<br />
though the largest amount people are satisfied.<br />
ILLEGALLY PARKED BICYCLES<br />
35%<br />
8%<br />
ILLEGALLY PARKED BICYCLES<br />
5%<br />
3% 3%<br />
46%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
Respondents having conflicts between bicyclists, pedestrians<br />
and motorized vehicle drivers. Only 18% saying<br />
it was not a problem. 26% stated that is was a bit of<br />
a problem, 18% claimed it was problematic, 19% said it<br />
was quite a problem, and 25% responded that said it was<br />
a major problem. 3% gave no answer on whether passing<br />
space was an issue. A large amount of 25% saying<br />
that the boundaries of the bike lanes are a major problem<br />
clearly indicates that this is an area where the design can<br />
be improved.<br />
OBSTACLES<br />
19%<br />
21%<br />
3%<br />
OBSTACLES<br />
19%<br />
23%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
When asked whether they thought surface issues like potholes<br />
were a problem on Vestergade Vest and Mageløs,<br />
55% of the responses said it was not a problem. 26%<br />
stated that it was a small problem, 6% claimed it was<br />
problematic, 5% it was quite problematic and 4% is was<br />
a major problem. 4% gave no answer. This figure shows<br />
Vestergade Vest and Mageløs has been maintained, and<br />
therefore has a great percentage of satisfied users in this<br />
area compared with the other problems the site is facing.<br />
CRACKS IN RAMPS AND INTERSECTIONS<br />
CRACKS AND RAMPS ON INTERSECTIONS<br />
12%<br />
7%<br />
27%<br />
6%<br />
3%<br />
45%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
15%<br />
Figure 3.1.48: Distribution of the respondents according to their opinion about how<br />
the Vestergade Vest and Mageløs` design fulfilled the fast connectivity.<br />
Respondents were asked if they thought the design of<br />
Vestergade Vest and Mageløs was facilitating fast connections.<br />
The majority responded said it did a good job<br />
(31%) or were neutral (28%). 7% thought it did a very<br />
good job, 20% said it did a bad job, and 11% said a very<br />
bad job. 3% respondents gave no answer. From this figure,<br />
it is clear that Vestergade Vest and Mageløs can be<br />
improved in regards to the speed of the bikers.<br />
Figure 3.1.50: Distribution of the respondents according to their opinion about how<br />
problematic illegal parking of bicycles is at Vestergade Vest and Mageløs.<br />
Users were asked if they thought that illegally parked<br />
bicycles were a problem on the Vestergade Vest and<br />
Mageløs. 46% of the responses said that they were not a<br />
problem, 35% said it was a small problem, 8% said it was<br />
problematic, 5% said it was quite problematic, and 3%<br />
said it was a major problem. 3% gave no answer. This<br />
figure shows that illegally parked bicycles are a problem<br />
at Vestergade Vest and Mageløs for the main part of the<br />
users.<br />
Figure 3.1.52: Distribution of the respondents according to their opinion about how<br />
problematic the existence of obstacles is against the cyclists at Vestergade Vest and<br />
Mageløs.<br />
Respondents were asked whether they thought obstacles<br />
at Vestergade Vest and Mageløs were an issue.<br />
Only 19% of the respondent stated that obstacles were<br />
not a problem. 23% stated that is was a small problem,<br />
15% claimed it was problematic, 19% quite problematic<br />
and 21% saying it is a major problem. 3% gave no answer.<br />
This figure shows that the majority of users also<br />
see obstacles as being an issue at Vestergade Vest and<br />
Mageløs.<br />
Figure 3.1.54: Distribution of the respondents according to their opinion about how<br />
problematic the existence of cracks in ramps and intersections is at Vestergade Vest<br />
and Mageløs.<br />
Users were asked whether they thought cracks were a<br />
problem on ramps and intersections. 45% of the responses<br />
said it was not a problem. 27% thought that it was a<br />
small problem, 12% claimed it was problematic, 7% said<br />
it was quite a problem and 6% said it was major problem.<br />
3% gave no answer. These results show that cracks in<br />
ramps and intersections are a small problem, one that<br />
could be fixed with maintenance.<br />
44 45
AWARENESS OF PEDESTRIANS AND MOTORIZED<br />
VEHICLE LACK DRIVERS OF AWARENESS FOR FOR CYCLISTS<br />
THE SURROUNDING PEOPLE<br />
26%<br />
3%<br />
10%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
SCENIC<br />
12%<br />
6%<br />
5% 4%<br />
POOR GREENERY<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
QUALITIES INFLUENCING TO RIDE A BIKE<br />
30%<br />
25%<br />
20%<br />
15%<br />
IF YES, WHAT QUALITIES ABOUT VESTERGADE HAS<br />
INFLUENCED YOUR CHOICE OF BIKING MORE OFTEN?<br />
STREET HOW DESIGN IMPORTANT INFLUENCING IS STREET DESIGN TO (GREEN RIDE A AREAS, BIKE<br />
LIGHTING, ETC.) FOR YOUR DECISION TO TAKE THE<br />
BIK E?<br />
30%<br />
25%<br />
20%<br />
17%<br />
20%<br />
Figure 3.1.55: Distribution of the respondents according to their opinion about how<br />
problematic the lack of awareness of pedestrians and motorized vehicle drivers is for<br />
people riding a bike at Vestergade Vest and Mageløs.<br />
24%<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
24%<br />
Figure 3.1.57: Distribution of the respondents according to their opinion about how<br />
problematic scenic and greenery is at Vestergade Vest and Mageløs.<br />
49%<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
10%<br />
5%<br />
0%<br />
SAFETY<br />
A GOOD EXPERIENCE<br />
FASTER CONNECTION<br />
WIDER BIKE LANES<br />
GREENER AREAS<br />
FASTER BIKE LANES<br />
GREEN WEDGE<br />
ATTRECTIVE LANDSCAPE<br />
BETTER SIGNPOSTING<br />
BIKE MAPS<br />
MAINTENANCE OF BIKES<br />
BIKE PARKING<br />
Figure 3.1.59: Among the respondents that said yes in the previous question (Figure<br />
3.1.58), what qualities has influenced their choice to ride a bike more often after the<br />
intervention in Vestergade Vest and Mageløs. The respondents could choice more<br />
than one option.<br />
15%<br />
10%<br />
5%<br />
0%<br />
NO ANSWER NOT AT ALL NOT<br />
IMPORTANT<br />
IMPROTANT<br />
NEUTRAL IMPORTANT<br />
VERY<br />
IMPORTANT<br />
IMPROTANT<br />
Figure 3.1.60: Distribution of respondents according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to<br />
ride a bike.<br />
Respondents were asked whether they thought lack of<br />
awareness of pedestrians and motorized vehicle drivers<br />
for cyclists was an issue. For the greatest part of<br />
the respondents (26%) the lack of awareness for cyclists<br />
was a major problem. 24% said it was a small problem,<br />
20% stated it was problematic and 17% said it was quite<br />
a problem. Only 10% of the respondents said it is not a<br />
problem. And 3% gave no answer. This figure shows that<br />
cyclists perceive a problem in regards the awareness of<br />
pedestrians and motorized vehicle drivers for cyclists.<br />
SIGNPOSTING AND ITS INTERPRETATION<br />
POOR SIGNPOSTING AND INTERPRETATION<br />
2%<br />
When asked whether they thought poor greenery and<br />
scenic landscaping was an issue at Vestergade Vest,<br />
49% of the responses said it was not a problem, 24% said<br />
it was a small problem, 12% stated it was problematic, 6%<br />
said it was quite a problem, and 4% responded that this<br />
was a major problem. 4% gave no answer. This figure<br />
shows that greenery can be a problem and that the lack<br />
of it is noticed by some users but also that almost 50% of<br />
the users are satisfied with the situation as it is.<br />
ARE YOU BIKING MORE OFTEN AFTER THE OPENING OF<br />
BIKING MORE OFTEN AFTER VESTERGADE<br />
VESTERGADE?<br />
VEST AND MAGELØS’ INTERVENTION<br />
3%<br />
Respondents were asked what aspect of the intervention<br />
make them ride their bike more often, the largest portion<br />
of users stated that faster connections (25%) made the<br />
largest impact. 16% responded saying bike parking was<br />
a good experience and influenced bikeability. 15% stated<br />
wider bike lanes made an impact for them and 7% said<br />
faster bike lanes made the difference for them. Important<br />
factors that influenced the amount users rode were therefore<br />
a faster connection and the space for bike parking.<br />
The good experience and the width of the lanes was also<br />
some of the factors that played a key role for the choice<br />
of biking.<br />
Users were asked, how important is street design in your<br />
decision to ride your bicycle. The largest portion (25%)<br />
of respondents answered saying that they were neutral<br />
to the question. 19% said it was important and 7% said it<br />
was very important. 22% said it was not important, and<br />
23% said it was not important at all. 4% did not answer.<br />
This figure shows that the majority of respondents do not<br />
think that the design of Vestergade Vest and Mageløs is a<br />
very important factor for the bikeability of the site.<br />
STREET WHAT DESIGN DO YOU SOLUTIONS THINK OF THE AT DESIGN VESTERGADE<br />
SOLUTIONS<br />
VEST ND MAGELØS<br />
THAT ARE APPLIED TO VESTERGADE (GREEN AREAS,<br />
L IGHTING, ETC.)?<br />
17%<br />
6%<br />
50%<br />
45%<br />
NO ANSWER<br />
40%<br />
10%<br />
37%<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
NO ANSWER<br />
35%<br />
30%<br />
PROBLEMATIC<br />
YES<br />
25%<br />
13%<br />
21%<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
91%<br />
NO<br />
20%<br />
15%<br />
10%<br />
5%<br />
0%<br />
Figure 3.1.56: Distribution of the respondents according to their opinion about how<br />
problematic signposting and its interpretation is at Vestergade Vest and Mageløs.<br />
When asked whether poor signage was an issue, 37%<br />
of the responses said it was not a problem, 21% said it<br />
was a small problem, 13% stated it was problematic, 10%<br />
said it was quite a problem and 17% said it was a major<br />
problem. 2% gave no answer. This figure shows that<br />
signage is also a problem for the bikers at Vestergade<br />
Vest and Mageløs, which thereby could be made more<br />
clearly to the user.<br />
Figure 3.1.58: Distribution of the respondents based on starting to ride a bike more<br />
often, or not, after the intervention at Vestergade Vest and Mageløs.<br />
When asked whether they bike more often after the opening<br />
of Vestergade Vest and Mageløs, 91% said they have<br />
not biked more while only 6% said that they where biking<br />
more often that before. 3% gave no answer. This figure<br />
shows that the opening of Vestergade Vest and Mageløs<br />
has not change the use of bikes in the area. The reasons<br />
of this can be the problems showed in the previous questions<br />
that indicate that there are issues such as insensitivity,<br />
poor maintaining and problems with the design that is<br />
dissatisfying for the bikers.<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.1.61 Distribution of respondents according to their opinion about the street<br />
design solutions (lightning, pavement material, greenery, etc) used in the intervention<br />
at Vestergade Vest and Mageløs.<br />
When asked for their opinion on the design solution applied<br />
to Vestergade Vest and Mageløs, most respondents<br />
replied that they were neutral (44%) in that question. 28%<br />
said it is a good solution and 3% believed it was a very<br />
good design solution. 17% thought it was poor, 5% responded<br />
very poor, and 3% gave no answer. This figure<br />
shows that many of the respondents were neutral in their<br />
opinion of the design. This could reflect that the design<br />
is not very noticeable and that they take it for granted.<br />
There is also a great part that think the design is good<br />
which also reflects that there are only small problems with<br />
the design.<br />
46 47
RELATIONS BETWEEN SOCIO-DEMOGRAPHIC VARIABLES AND<br />
WEB-SURVEY ANSWERS<br />
The Chi2 test was applied to identify possible relations between the socio-demographics (independent variables) of the<br />
sample and their answers from the web survey (dependable variables). Considering the nature of the studied variables<br />
– the majority of them are nominal – the Chi2 test was selected to this analysis.<br />
The Chi2 test is about finding out if there is a connection between the variables. It is about testing the nul hypothesis.<br />
H0 says that the variables are statistic independent and HA says the variables are statistic dependent. To the test we<br />
set a α-level at 0,05. In the case of the p-value is under that, we can not reject the nul hypothesis.<br />
SOCIO-DEMOGRAPHICS AND WALKING AT VESTERGADE VEST AND MAGELØS<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
MALE 7 8 19 38 32 25 129<br />
FEMALE 8 13 14 48 47 30 160<br />
TOTAL 15 21 33 86 79 55 289<br />
Table 3.1.5: Distribution of the respondents by gender according to the frequency they walk at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.5, the SPSS calculated the Chi2 to be 3,192 with a degree of freedom (df) 5 and the missing values<br />
are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND RIDING A BIKE AT VESTERGADE VEST AND MAGELØS<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
MALE 33 43 29 16 8 1 130<br />
FEMALE 47 55 22 22 10 3 159<br />
TOTAL 80 98 51 38 18 4 289<br />
Table 3.1.2: Distribution of the respondents by gender according to the frequency they ride a bicycle at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.2, the SPSS calculated the Chi2 to be 4,182 with a degree of freedom (df) 5 and the missing values<br />
are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
PUBLIC SCHOOL 1 4 0 4 4 6 19<br />
VOCATIONAL EDUC. 1 3 2 8 10 8 32<br />
HIGH SCHOOL 1 5 8 12 7 7 40<br />
SHORT HIGHER EDUC. 0 2 6 10 7 6 31<br />
MEDIUM HIGHER EDUC. 6 3 10 33 27 25 104<br />
LONG HIGHER EDUC. 6 4 7 19 23 4 63<br />
TOTAL 15 21 33 86 78 56 289<br />
Table 3.1.6: Distribution of the respondents by educational level according to the frequency they walk at Vestergede Vest and Mageløs.<br />
Out of the Table 3.1.6, the SPSS calculated the Chi2 to be 35,657 with a degree of freedom (df) 25 and the missing<br />
values are 9. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
PUBLIC SCHOOL 7 3 3 2 2 1 19<br />
VOCATIONAL EDUC. 6 17 3 2 3 1 32<br />
HIGH SCHOOL 16 11 8 4 1 0 40<br />
SHORT HIGHER EDUC. 7 13 5 2 2 1 30<br />
MEDIUM HIGHER EDUC. 24 31 22 22 5 1 105<br />
LONG HIGHER EDUC. 20 22 11 6 4 0 63<br />
TOTAL 80 97 52 38 18 4 289<br />
Table 3.1.3: Distribution of the respondents by educational level according to the frequency they ride a bicycle at Vestergade Vest.<br />
Out of the Table 3.1.3, the SPSS calculated the Chi2 to be 32,170 with a degree of freedom (df) 25 and the missing<br />
values are 9. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
01-20 YEARS 0 2 3 6 4 1 16<br />
21-30 YEARS 5 10 14 37 30 9 105<br />
31-40 YEARS 4 1 6 11 9 10 41<br />
41-50 YEARS 3 3 5 8 15 11 45<br />
51-60 YEARS 3 4 2 14 14 13 50<br />
61-90 YEARS 0 1 3 7 5 10 26<br />
TOTAL 15 21 33 83 77 54 283<br />
Table 3.1.7: Distribution of the respondents by age groups according to the frequency they walk at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.7, the SPSS calculated the Chi2 to be 31,565 with a degree of freedom (df) 25 and the missing<br />
values are 15. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
01-20 YEARS 8 3 4 0 0 1 16<br />
21-30 YEARS 34 30 21 15 5 0 105<br />
31-40 YEARS 7 12 11 6 4 0 40<br />
41-50 YEARS 15 18 4 3 4 1 45<br />
51-60 YEARS 13 23 4 6 2 2 50<br />
61-90 YEARS 2 9 7 7 2 0 27<br />
TOTAL 79 95 51 37 17 4 283<br />
Table 3.1.4 Distribution of the respondents by age groups according to the frequency they ride a bicycle at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.4, the SPSS calculated the Chi2 to be 41,188 with a degree of freedom (df) 25 and the missing<br />
values are 15. P is between 0,025 and 0,010. Therefore, the variables are dependent.<br />
SOCIO-DEMOGRAPHICS AND MAIN TRIP PURPOSE<br />
TRANS. TO<br />
VISIT<br />
TRANS. TO<br />
RECREATION /<br />
PURCHASING<br />
AND FROM<br />
FAMILY /<br />
AND FROM<br />
LEISURE<br />
/ SHOPPING<br />
WORK<br />
FRIENDS<br />
SCHOOL<br />
OTHERS TOTAL<br />
MALE 47 7 7 45 50 6 130<br />
FEMALE 73 2 3 55 23 5 130<br />
TOTAL 117 9 10 100 43 11 290<br />
Table 3.1.8: Distribution of the respondents by gender according to the main trip purpose when riding a bike in Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.8, the SPSS calculated the Chi2 to be 8,901 with a degree of freedom (df) 5 and the missing values<br />
are 8. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
48 49
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREA-<br />
TION /<br />
LEISURE<br />
VISIT<br />
FAMILY /<br />
FRIENDS<br />
PURCHA-<br />
SING /<br />
SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
PUBLIC SCHOOL 4 2 1 7 4 1 19<br />
VOCATIONAL EDUC. 15 0 0 11 4 2 32<br />
HIGH SCHOOL 13 2 2 9 13 1 40<br />
SHORT HIGHER EDUC. 16 2 0 11 1 1 31<br />
MEDIUM HIGHER EDUC. 43 2 2 41 11 6 105<br />
LONG HIGHER EDUC. 25 1 5 21 10 1 63<br />
TOTAL 116 9 10 100 43 12 290<br />
TOTAL<br />
Table 3.1.9: Distribution of the respondents by educational level according to the main trip purpose when riding a bike at Vestergade Vest and<br />
Mageløs.<br />
Out of the Table 3.1.9, the SPSS calculated the Chi2 to be 35,608 with a degree of freedom (df) 25 and the missing<br />
values are 8. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
MORE RARELY<br />
NOT AS OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
01-20 YEARS 0 1 9 3 3 16<br />
21-30 YEARS 2 8 78 13 3 104<br />
31-40 YEARS 0 4 30 1 6 41<br />
41-50 YEARS 3 3 35 1 3 45<br />
51-60 YEARS 0 3 52 0 5 50<br />
61-90 YEARS 0 1 23 0 3 27<br />
TOTAL 5 20 217 18 23 283<br />
Table 3.1.13: Distribution of the respondents by age groups according to the frequency they ride a bike at<br />
Vestergade Vest and Mageløs for the main purpose mentioned in the Figure 3.1.44, after the intervention at<br />
Out of the Table 3.1.13, the SPSS calculated the Chi2 to be 36,728 with a degree of freedom (df) 20 and the missing<br />
values are 15. P is between 0,025 and 0,010. Therefore, the variables are dependent.<br />
TOTAL<br />
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREA-<br />
TION /<br />
LEISURE<br />
VISIT FAMILY<br />
/ FRIENDS<br />
PURCHA-<br />
SING /<br />
SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
TOTAL<br />
01-20 YEARS 1 2 2 3 7 1 16<br />
21-30 YEARS 32 2 6 30 31 4 105<br />
31-40 YEARS 21 1 0 18 1 0 41<br />
41-50 YEARS 29 2 2 9 0 3 45<br />
51-60 YEARS 28 1 0 18 2 1 50<br />
61-90 YEARS 3 1 0 18 2 3 27<br />
TOTAL 114 9 10 96 43 12 284<br />
Table 3.1.10: Distribution of the respondents by age groups according to the main trip purpose when riding a bike at Vestergade Vest and<br />
Mageløs.<br />
Out of the Table 3.1.10, the SPSS calculated the Chi2 to be 98,443 with a degree of freedom (df) 20 and the missing<br />
values are 14. P is under 0,001. Therefore, the variables are dependent.<br />
SOCIO-DEMOGRAPHICS AND SATISFACTION WITH VESTERGADE VEST AND MAGELØS<br />
VERY<br />
DISSATISFIED<br />
DISSATISFIED NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 13 25 31 43 18 130<br />
FEMALE 13 56 31 54 5 159<br />
TOTAL 26 81 62 97 23 289<br />
Table 3.1.14: Distribution of the respondents by gender according to the level of satisfaction with the design of Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.14, the SPSS calculated the Chi2 to be 17,729 with a degree of freedom (df) 4 and the missing<br />
values are 9. P is close to 0,001. Therefore, the variables are dependent.<br />
SOCIO-DEMOGRAPHICS AND FREQUENCY OF TRIPS TO THE MAIN PURPOSE<br />
MORE<br />
RARELY<br />
NOT AS<br />
OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
MALE 1 5 97 13 14 130<br />
FEMALE 4 15 123 6 11 159<br />
TOTAL 5 20 220 19 14 289<br />
Table 3.1.11: Distribution of the respondents by gender according to the frequency they ride a bike at Vestergade Vest and Mageløs<br />
for the main purpose mentioned in the Figure 3.1.44, after the intervention at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.11, the SPSS calculated the Chi2 to be 10,002 with a degree of freedom (df) 4 and the missing<br />
values are 9. P is between 0,050 and 0,025. Therefore, the variables are dependent.<br />
TOTAL<br />
VERY DIS- DIS-<br />
SATISFIED SATISFIED<br />
NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 3 4 5 3 4 19<br />
VOCATIONAL EDUC. 2 8 13 8 1 32<br />
HIGH SCHOOL 3 8 9 15 5 40<br />
SHORT HIGHER EDUC. 3 10 4 10 3 30<br />
MEDIUM HIGHER EDUC. 10 28 20 40 7 105<br />
LONG HIGHER EDUC. 6 22 11 20 4 63<br />
TOTAL 27 80 62 97 23 289<br />
Table 3.1.15: Distribution of the respondents by educational level according to the level of satisfaction with the design of Vestergade Vest and<br />
Mageløs.<br />
Out of the Table 3.1.15, the SPSS calculated the Chi2 to be 18,036 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
MORE<br />
RARELY<br />
NOT AS<br />
OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE<br />
OFTEN<br />
MUCH MORE<br />
OFTEN<br />
PUBLIC SCHOOL 1 0 9 2 7 19<br />
VOCATIONAL EDUC. 1 2 23 2 4 32<br />
HIGH SCHOOL 0 5 23 7 5 40<br />
SHORT HIGHER EDUC. 1 1 24 4 1 31<br />
MEDIUM HIGHER<br />
EDUC.<br />
1 8 88 3 5 105<br />
LONG HIGHER EDUC. 1 4 53 1 3 62<br />
TOTAL 5 20 220 19 25 289<br />
Table 3.1.12: Distribution of the respondents by educational level according to the frequency they ride a bike at Vestergade Vest<br />
and Mageløs for the main purpose mentioned in the Figure 3.1.44, after the intervention at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.12, the SPSS calculated the Chi2 to be 42,290 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is between 0,005 and 0,001. Therefore, the variables are dependent.<br />
TOTAL<br />
VERY<br />
DISSATISFIED<br />
DISSATISFIED NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 2 4 6 4 16<br />
21-30 YEARS 10 25 17 46 7 105<br />
31-40 YEARS 6 12 7 14 2 41<br />
41-50 YEARS 2 16 9 12 5 44<br />
51-60 YEARS 7 17 14 9 3 50<br />
61-90 YEARS 2 7 8 8 2 27<br />
TOTAL 27 79 59 98 23 283<br />
Table 3.1.16: Distribution of the respondents by age groups according to the level of satisfaction with the design of Vestergade Vest and<br />
Mageløs.<br />
Out of the Table 3.1.16, the SPSS calculated the Chi2 to be 27,435 with a degree of freedom (df) 20 and the missing<br />
values are 15. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
50 51
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE IMPACT OF VESTERGADE VEST AND MAGELØS` DE-<br />
SIGN ON SAFETY<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 14 38 28 39 11 130<br />
FEMALE 40 54 33 24 7 158<br />
TOTAL 54 92 61 63 18 288<br />
Table 3.1.17: Distribution of the respondents by gender according to their opinion about how the Vestergade Vest and Mageløs` design<br />
fulfilled the bicyclist safety aspect.<br />
Out of the Table 3.1.17, the SPSS calculated the Chi2 to be 17,616 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is close to 0,001. Therefore, the variables are dependent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 2 6 8 1 17<br />
VOCATIONAL EDUC. 5 8 9 5 5 32<br />
HIGH SCHOOL 4 10 15 8 3 40<br />
SHORT HIGHER EDUC. 8 7 5 10 1 31<br />
MEDIUM HIGHER EDUC. 9 16 32 39 9 105<br />
LONG HIGHER EDUC. 7 17 15 21 2 62<br />
TOTAL 33 60 82 91 21 287<br />
Table 3.1.21: Distribution of the respondents by educational level according to their opinion about how the Vestergade Vest and<br />
Mageløs` design fulfilled the fast connectivity.<br />
Out of the Table 3.1.21, the SPSS calculated the Chi2 to be 18,694 with a degree of freedom (df) 20 and the missing<br />
values are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 1 7 3 5 3 19<br />
VOCATIONAL EDUC. 5 15 6 4 2 32<br />
HIGH SCHOOL 6 12 9 11 2 40<br />
SHORT HIGHER EDUC. 9 10 5 6 1 31<br />
MEDIUM HIGHER EDUC. 21 29 24 25 5 104<br />
LONG HIGHER EDUC. 13 18 14 12 5 62<br />
TOTAL 55 91 61 63 18 288<br />
Table 3.1.18: Distribution of the respondents by educational level according to their opinion about how the Vestergade Vest and<br />
Mageløs` design fulfilled the bicyclist safety aspect.<br />
Out of the Table 3.1.18, the SPSS calculated the Chi2 to be 14,899 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 5 7 1 3 16<br />
21-30 YEARS 12 22 29 36 6 105<br />
31-40 YEARS 4 10 10 16 1 41<br />
41-50 YEARS 7 5 13 14 4 43<br />
51-60 YEARS 6 13 13 15 3 50<br />
61-90 YEARS 3 3 7 9 4 26<br />
TOTAL 32 58 79 91 21 281<br />
Table 3.1.22: Distribution of the respondents by age groups according to their opinion about how the Vestergade Vest`s design fulfilled the fast<br />
connectivity.<br />
Out of the Table 3.1.22, the SPSS calculated the Chi2 to be 20,432 with a degree of freedom (df) 20 and the missing<br />
values are 17. P is bigger than 0,250. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 5 5 5 1 16<br />
21-30 YEARS 17 28 22 30 8 105<br />
31-40 YEARS 11 13 5 9 3 41<br />
41-50 YEARS 10 11 10 10 3 44<br />
51-60 YEARS 12 22 11 4 0 49<br />
61-90 YEARS 4 10 5 5 3 27<br />
TOTAL 54 89 58 63 18 282<br />
Table 3.1.19: Distribution of the respondents by age group according to their opinion about how the Vestergade Vest and Mageløs’<br />
design fulfilled the bicyclist safety aspect.<br />
Out of the Table 3.1.19, the SPSS calculated the Chi2 to be 24,422 with a degree of freedom (df) 20 and the missing<br />
values are 16. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT VESTERGADE VEST AND MAGELØS AESTHETICS<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 5 20 41 49 15 130<br />
FEMALE 11 22 55 58 12 158<br />
TOTAL 16 42 96 107 27 288<br />
Table 3.1.23: Distribution of the respondents by gender according to their opinion about how the Vestergade Vest and Mageløs’<br />
design fulfilled the aesthetics aspect.<br />
Out of the Table 3.1.23, the SPSS calculated the Chi2 to be 2,781 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE IMPACT OF VESTERGADE VEST AND MAGELØS` DE-<br />
SIGN ON FAST CONNECTIVITY<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 12 23 39 43 12 129<br />
FEMALE 20 37 43 49 9 158<br />
TOTAL 32 60 82 92 21 287<br />
Table 3.1.20: Distribution of the respondents by gender according to their opinion about how the Vestergade Vest and Mageløs’ design<br />
fulfilled the fast connectivity.<br />
Out of the Table 3.1.20, the SPSS calculated the Chi2 to be 3,386 with a degree of freedom (df) 4 and the missing<br />
values are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 3 5 8 2 18<br />
VOCATIONAL EDUC. 4 3 10 12 3 32<br />
HIGH SCHOOL 2 4 14 16 4 40<br />
SHORT HIGHER EDUC. 2 8 10 11 0 31<br />
MEDIUM HIGHER EDUC. 7 18 31 38 11 105<br />
LONG HIGHER EDUC. 1 7 25 22 7 62<br />
TOTAL 16 43 95 107 27 288<br />
Table 3.1.24: Distribution of the respondents by educational level according to their opinion about how the Vestergade Vest and Mageløs’<br />
design fulfilled the aesthetics aspect.<br />
Out of the Table 3.1.24, the SPSS calculated the Chi2 to be 15,938 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
52 53
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 1 6 5 4 16<br />
21-30 YEARS 2 12 33 45 13 105<br />
31-40 YEARS 3 6 17 13 2 41<br />
41-50 YEARS 2 9 15 14 4 44<br />
51-60 YEARS 7 12 13 17 1 50<br />
61-90 YEARS 1 2 9 11 3 26<br />
TOTAL 15 42 93 105 27 282<br />
Table 3.1.25: Distribution of the respondents by age groups according to their opinion about how the Vestergade Vest and Mageløs’ design<br />
fulfilled the aesthetics aspect.<br />
Out of the Table 3.1.25, the SPSS calculated the Chi2 to be 29,745 with a degree of freedom (df) 20 and the missing<br />
values are 16. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT CONFLICT BETWEEN DIFFERENT TRANSPORT MODES<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 15 37 27 21 28 128<br />
FEMALE 13 39 26 35 46 159<br />
TOTAL 28 76 53 56 74 287<br />
Table 3.1.29: Distribution of the respondents by gender according to their opinion about how problematic is the conflict between different transport<br />
modes at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.29, the SPSS calculated the Chi2 to be 4,800 with a degree of freedom (df) 4 and the missing<br />
values are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT ILLEGALLY PARKED BICYCLES<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 71 38 11 6 4 130<br />
FEMALE 65 66 13 9 5 158<br />
TOTAL 136 104 24 15 9 288<br />
Table 3.1.26: Distribution of the respondents by gender according to their opinion about how problematic illegal parking of bicycles is at Vestergade<br />
Vest and Mageløs.<br />
Out of the Table 3.1.26, the SPSS calculated the Chi2 to be 6,016 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 4 7 4 0 4 19<br />
VOCATIONAL EDUC. 3 11 5 6 7 32<br />
HIGH SCHOOL 4 12 8 6 9 39<br />
SHORT HIGHER EDUC. 2 7 5 3 14 31<br />
MEDIUM HIGHER EDUC. 6 28 23 19 27 103<br />
LONG HIGHER EDUC. 9 11 8 21 14 62<br />
TOTAL 28 76 53 55 75 287<br />
Table 3.1.30: Distribution of the respondents by educational level according to their opinion about how problematic is the conflict between different<br />
transport modes at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.30, the SPSS calculated the Chi2 to be 29,319 with a degree of freedom (df) 20 and the missing<br />
values are 11. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 9 7 2 1 0 19<br />
VOCATIONAL EDUC. 15 11 2 4 0 32<br />
HIGH SCHOOL 21 11 3 4 1 40<br />
SHORT HIGHER EDUC. 13 8 6 1 3 31<br />
MEDIUM HIGHER EDUC. 43 45 9 3 3 103<br />
LONG HIGHER EDUC. 36 21 2 2 2 63<br />
TOTAL 137 103 24 15 9 288<br />
Table 3.1.27: Distribution of the respondents by educational level according to their opinion about how problematic illegal parking of bicycles is<br />
at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.27, the SPSS calculated the Chi2 to be 25,507 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
TOTAL<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 2 5 4 2 3 16<br />
21-30 YEARS 13 25 17 22 26 103<br />
31-40 YEARS 2 9 8 9 13 41<br />
41-50 YEARS 3 12 8 9 13 45<br />
51-60 YEARS 2 11 11 9 16 49<br />
61-90 YEARS 6 10 5 3 3 27<br />
TOTAL 28 72 53 54 74 281<br />
Table 3.1.31: Distribution of the respondents by age groups according to their opinion about how problematic is the conflict between different<br />
transport modes at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.31, the SPSS calculated the Chi2 to be 17,042 with a degree of freedom (df) 20 and the missing<br />
values are 17. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 9 5 1 1 0 16<br />
21-30 YEARS 60 37 4 2 2 105<br />
31-40 YEARS 19 12 4 5 1 41<br />
41-50 YEARS 30 17 4 1 3 45<br />
51-60 YEARS 17 19 8 2 2 48<br />
61-90 YEARS 8 12 3 3 1 27<br />
TOTAL 133 102 24 14 9 282<br />
Table 3.1.28: Distribution of the respondents by age groups according to their opinion about how problematic illegal parking of bicycles is at<br />
Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.28, the SPSS calculated the Chi2 to be 26,125 with a degree of freedom (df) 20 and the missing<br />
values are 16. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT OBSTACLES AGAINST CYCLISTS<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 30 38 18 19 24 129<br />
FEMALE 26 30 28 38 38 160<br />
TOTAL 56 68 46 57 62 289<br />
Table 3.1.32: Distribution of the respondents by gender according to their opinion about how problematic is the existence of obstacles against<br />
the cyclists at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.32, the SPSS calculated the Chi2 to be 9,682 with a degree of freedom (df) 4 and the missing<br />
values are 9. P is between 0,050 and 0,025, but close to 0,050. The variables are independent. But with errors in the<br />
sample is p-value is so close that they may well be dependent.<br />
54 55
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
TOTAL<br />
PUBLIC SCHOOL 4 6 5 2 2 19<br />
VOCATIONAL EDUC. 6 13 2 5 5 31<br />
HIGH SCHOOL 4 6 11 9 10 40<br />
SHORT HIGHER EDUC. 5 8 2 4 12 31<br />
MEDIUM HIGHER EDUC. 24 21 19 19 22 105<br />
LONG HIGHER EDUC. 13 14 7 17 12 63<br />
TOTAL 56 68 46 56 63 289<br />
Table 3.1.33: Distribution of the respondents by educational level according to their opinion about how problematic is the existence of obstacles<br />
against the cyclists at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.33, the SPSS calculated the Chi2 to be 28,844 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 13 2 0 1 0 16<br />
21-30 YEARS 61 30 7 5 1 104<br />
31-40 YEARS 25 8 1 4 3 41<br />
41-50 YEARS 24 11 5 1 3 44<br />
51-60 YEARS 25 15 4 1 4 49<br />
61-90 YEARS 13 8 2 1 0 24<br />
TOTAL 160 75 19 13 11 278<br />
Table 3.1.37: Distribution of the respondents by age groups according to their opinion about how problematic is the pavement at Vestergade<br />
Vest and Mageløs.<br />
Out of the Table 3.1.37, the SPSS calculated the Chi2 to be 19,106 with a degree of freedom (df) 20 and the missing<br />
values are 20. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT CRACKS IN RAMPS AND INTERSECTIONS<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 3 1 8 2 2 16<br />
21-30 YEARS 18 23 20 27 17 105<br />
31-40 YEARS 5 13 6 7 10 41<br />
41-50 YEARS 12 9 5 7 11 44<br />
51-60 YEARS 5 10 6 11 18 50<br />
61-90 YEARS 12 8 1 2 4 24<br />
TOTAL 55 64 46 56 62 283<br />
Table 3.1.34: Distribution of the respondents by age groups according to their opinion about how problematic is the existence of obstacles<br />
against the cyclists at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.34, the SPSS calculated the Chi2 to be 46,279 with a degree of freedom (df) 20 and the missing<br />
values are 15. P is smaller than 0,001. Therefore, the variables are dependent.<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 67 39 11 6 6 129<br />
FEMALE 67 42 22 16 12 159<br />
TOTAL 137 81 33 22 18 288<br />
Table 3.1.38: Distribution of the respondents by gender according to their opinion about how problematic is the existence of cracks and ramps<br />
at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.38, the SPSS calculated the Chi2 to be 7,277 with a degree of freedom (df) 4 and the missing values<br />
are 10. P is between 0,250 and 0,100, but very close to 0,100. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE PAVEMENT<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 79 29 8 11 3 130<br />
FEMALE 86 47 11 3 8 155<br />
TOTAL 165 76 19 14 11 286<br />
Table 3.1.35: Distribution of the respondents by gender according to their opinion about how problematic is the pavement at Vestergade Vest<br />
and Mageløs.<br />
Out of the Table 3.1.35, the SPSS calculated the Chi2 to be 9,760 with a degree of freedom (df) 5 and the missing<br />
values are 13. P is between 0,050 and 0,025, but close to 0,050. The variables are independent. But with errors in the<br />
sample is p-value is so close that they may well be dependent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 12 4 2 0 1 19<br />
VOCATIONAL EDUC. 13 12 3 4 0 32<br />
HIGH SCHOOL 21 10 4 3 2 40<br />
SHORT HIGHER EDUC. 16 7 3 2 2 30<br />
MEDIUM HIGHER EDUC. 42 31 15 8 8 104<br />
LONG HIGHER EDUC. 30 17 6 5 5 63<br />
TOTAL 134 81 33 22 18 288<br />
Table 3.1.39: Distribution of the respondents by educational level according to their opinion about how problematic is the existence of cracks<br />
and ramps at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.39, the SPSS calculated the Chi2 to be 11,216 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 11 5 2 0 0 18<br />
VOCATIONAL EDUC. 16 12 2 1 1 32<br />
HIGH SCHOOL 27 8 1 3 1 40<br />
SHORT HIGHER EDUC. 18 6 1 2 1 28<br />
MEDIUM HIGHER EDUC. 59 29 8 4 5 105<br />
LONG HIGHER EDUC. 34 16 4 4 3 61<br />
TOTAL 165 76 18 14 11 284<br />
Table 3.1.36 : Distribution of the respondents by educational level according to their opinion about how problematic is the pavement at Vestergade<br />
Vest and Mageløs.<br />
Out of the Table 3.1.36, the SPSS calculated the Chi2 to be 9,739 with a degree of freedom (df) 20 and the missing<br />
values are 14. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 11 3 0 1 1 16<br />
21-30 YEARS 51 28 15 6 4 104<br />
31-40 YEARS 19 14 1 4 3 41<br />
41-50 YEARS 18 14 3 5 5 245<br />
51-60 YEARS 21 11 8 4 5 49<br />
61-90 YEARS 10 10 6 1 0 27<br />
TOTAL 130 80 33 21 18 282<br />
Table 3.1.40: Distribution of the respondents by age groups according to their opinion about how problematic is the existence of cracks and<br />
ramps at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.40, the SPSS calculated the Chi2 to be 23,000 with a degree of freedom (df) 20 and the missing<br />
values are 16. P is bigger than 0,250. Therefore, the variables are independent.<br />
56 57
SOCIO-DEMOGRAPHICS AND OPINION ABOUT AWARENESS OF PEDESTRIANS AND MOTORIZED VEHICLE<br />
DRIVERS FOR CYCLISTS<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 18 36 25 22 29 130<br />
FEMALE 11 36 35 30 46 158<br />
TOTAL 38 72 60 52 75 288<br />
Table 3.1.41: Distribution of the respondents by gender according to their opinion about how problematic is the lack of awareness of pedestrians<br />
and motorized vehicle drivers for people riding a bike at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.41, the SPSS calculated the Chi2 to be 5,773 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 9 5 2 2 1 19<br />
VOCATIONAL EDUC. 6 12 4 5 5 32<br />
HIGH SCHOOL 15 9 4 1 11 40<br />
SHORT HIGHER EDUC. 10 6 2 6 7 31<br />
MEDIUM HIGHER EDUC. 42 22 17 10 14 105<br />
LONG HIGHER EDUC. 28 7 10 6 12 63<br />
TOTAL 110 61 39 30 50 290<br />
Table 3.1.45: Distribution of the respondents by educational level according to their opinion about how problematic is signposting and its interpretation<br />
at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.45, the SPSS calculated the Chi2 to be 25,951 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 1 8 3 3 4 19<br />
VOCATIONAL EDUC. 3 11 5 6 7 32<br />
HIGH SCHOOL 3 7 11 9 10 40<br />
SHORT HIGHER EDUC. 1 6 8 6 9 30<br />
MEDIUM HIGHER EDUC. 14 27 23 15 25 104<br />
LONG HIGHER EDUC. 7 13 10 13 20 63<br />
TOTAL 27 72 60 52 75 288<br />
Table 3.1.42: Distribution of the respondents by educational level according to their opinion about how problematic is the lack of awareness of<br />
pedestrians and motorized vehicle drivers for people riding a bike at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.42, the SPSS calculated the Chi2 to be 14,302 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 8 3 2 1 2 16<br />
21-30 YEARS 47 18 12 12 16 105<br />
31-40 YEARS 15 5 7 3 11 41<br />
41-50 YEARS 14 8 10 4 9 45<br />
51-60 YEARS 14 5 3 8 10 50<br />
61-90 YEARS 9 9 5 2 2 27<br />
TOTAL 107 58 39 30 50 284<br />
Table 3.1.46: Distribution of the respondents by age groups according to their opinion about how problematic is signposting and its interpretation<br />
at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.46, the SPSS calculated the Chi2 to be 23,288 with a degree of freedom (df) 20 and the missing<br />
values are 14. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 2 2 4 7 1 16<br />
21-30 YEARS 12 23 22 18 30 105<br />
31-40 YEARS 5 11 8 4 13 41<br />
41-50 YEARS 4 12 10 8 11 45<br />
51-60 YEARS 3 12 11 9 13 48<br />
61-90 YEARS 3 10 4 4 6 27<br />
TOTAL 29 70 59 50 74 282<br />
Table 3.1.43: Distribution of the respondents by age groups according to their opinion about how problematic is the lack of awareness of<br />
pedestrians and motorized vehicle drivers for people riding a bike at Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.43, the SPSS calculated the Chi2 to be 16,197 with a degree of freedom (df) 20 and the missing<br />
values are 16. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT SCENIC<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 72 26 13 8 10 129<br />
FEMALE 74 44 22 11 6 157<br />
TOTAL 146 70 35 19 16 286<br />
Table 3.1.47: Distribution of the respondents by gender according to their opinion about how problematic is the scenic at Vestergade Vest and<br />
Mageløs.<br />
Out of the Table 3.1.47, the SPSS calculated the Chi2 to be 8,164 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT SIGNPOSTING AND ITS INTERPRETATION<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 64 21 14 12 19 130<br />
FEMALE 46 40 25 18 31 160<br />
TOTAL 110 61 38 30 50 290<br />
Table 3.1.44: Distribution of the respondents by gender according to their opinion about how problematic is signposting and its interpretation at<br />
Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.44, the SPSS calculated the Chi2 to be 13,083 with a degree of freedom (df) 4 and the missing<br />
values are 8. P is very close to på 0,010. Therefore, the variables are dependent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 12 4 1 2 0 19<br />
VOCATIONAL EDUC. 16 8 2 3 3 32<br />
HIGH SCHOOL 24 11 2 1 2 40<br />
SHORT HIGHER EDUC. 15 4 7 1 3 30<br />
MEDIUM HIGHER EDUC. 46 30 18 7 4 105<br />
LONG HIGHER EDUC. 34 12 5 5 4 60<br />
TOTAL 147 67 35 19 16 286<br />
Table 3.1.48: Distribution of the respondents by educational level gender according to their opinion about how problematic is the scenic at<br />
Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.48, the SPSS calculated the Chi2 to be 13,169 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
58 59
SOCIO-DEMOGRAPHICS AND OPINION ABOUT STREET DESIGN AS INFLUENTIAL FACTOR TO RIDE A BIKE<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 11 4 1 0 0 16<br />
21-30 YEARS 57 25 8 8 5 103<br />
31-40 YEARS 20 12 3 1 5 41<br />
41-50 YEARS 25 9 6 3 2 45<br />
51-60 YEARS 20 9 13 4 3 49<br />
61-90 YEARS 12 10 3 1 0 26<br />
TOTAL 146 69 34 17 15 280<br />
Table 3.1.49: Distribution of the respondents by age groups according to their opinion about how problematic is the scenic at Vestergade Vest<br />
and Mageløs.<br />
Out of the Table 3.1.49, the SPSS calculated the Chi2 to be 21,015 with a degree of freedom (df) 20 and the missing<br />
values are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND BIKING MORE OFTEN AFTER VESTERGADE VEST AND MAGELØS` OPENING<br />
YES NO TOTAL<br />
MALE 14 115 129<br />
FEMALE 5 155 160<br />
TOTAL 19 270 289<br />
Table 3.1.50: Distribution of the respondents by gender based on starting to ride a bike<br />
more often, or not, after the opening of Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.50, the SPSS calculated the Chi2 to be 6,944 with a degree of freedom (df) 1 and the missing<br />
values are 9. P is very close to 0,010. Therefore, the variables are dependent.<br />
NOT AT ALL NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
MAN 38 20 37 26 7 128<br />
FEMALE 31 45 37 31 13 157<br />
TOTAL 69 65 74 57 20 285<br />
Table 3.1.53: Distribution of respondents by gender according to their opinion about the importance of street design (lightning, pavement material,<br />
greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.1.53, the SPSS calculated the Chi2 to be 9,714 with a degree of freedom (df) 4 and the missing values<br />
are 13. P is between 0,100 and 0,050. But very close to 0,050. Therefore, the variables are independent.<br />
NOT AT ALL NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
PUBLIC SCHOOL 6 4 4 3 2 19<br />
VOCATIONAL EDUC. 7 7 5 9 3 31<br />
HIGH SCHOOL 15 4 7 11 3 40<br />
SHORT HIGHER EDUC. 6 10 9 4 2 31<br />
MEDIUM HIGHER EDUC. 22 22 34 22 5 105<br />
LONG HIGHER EDUC. 13 19 14 8 5 59<br />
TOTAL 13 19 14 8 5 285<br />
Table 3.1.54: Distribution of respondents by educational level according to their opinion about the importance of street design (lightning, pavement<br />
material, greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.1.54, the SPSS calculated the Chi2 to be 21,295 with a degree of freedom (df) 20 and the missing<br />
values are 13. P is bigger than 0,250. Therefore, the variables are independent.<br />
YES NO TOTAL<br />
PUBLIC SCHOOL 3 16 19<br />
VOCATIONAL EDUC. 2 30 32<br />
HIGH SCHOOL 9 31 40<br />
SHORT HIGHER EDUC. 1 30 31<br />
MEDIUM HIGHER EDUC. 3 101 104<br />
LONG HIGHER EDUC. 1 62 63<br />
TOTAL 19 270 289<br />
Table 3.1.51: Distribution of the respondents by educational level based on starting to<br />
ride a bike more often, or not, after the opening of Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.51, the SPSS calculated the Chi2 to be 24,571 with a degree of freedom (df) 5 and the missing<br />
values are 9. P is smaller than 0,001. Therefore, the variables are dependent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 2 5 8 1 16<br />
21-30 YEARS 2 11 51 34 6 104<br />
31-40 YEARS 0 9 18 14 0 41<br />
41-50 YEARS 4 11 18 10 2 45<br />
51-60 YEARS 4 14 21 10 0 49<br />
61-90 YEARS 3 3 14 7 0 27<br />
TOTAL 13 50 127 83 9 282<br />
Table 3.1.55: Distribution of respondents by age groups according to their opinion about the importance of street design (lightning, pavement<br />
material, greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.1.55, the SPSS calculated the Chi2 to be 32,059 with a degree of freedom (df) 20 and the missing<br />
values are 16. P is between 0,050 and 0,025. Therefore, the variables are dependent.<br />
YES NO TOTAL<br />
01-20 YEARS 5 11 16<br />
21-30 YEARS 9 96 105<br />
31-40 YEARS 2 38 40<br />
41-50 YEARS 1 44 45<br />
51-60 YEARS 2 48 50<br />
61-90 YEARS 0 27 27<br />
TOTAL 19 264 283<br />
Table 3.1.52: Distribution of the respondents by age groups based on starting to ride a<br />
bike more often, or not, after the opening of Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.52, the SPSS calculated the Chi2 to be 20,127 with a degree of freedom (df) 5 and the missing<br />
values are 10. P is between 0,005 and 0,001, but very close to 0,001. Therefore, the variables are dependent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT VESTERGADE VEST AND MAGELØS DESIGN SOLUTION<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 3 19 60 43 4 129<br />
FEMALE 10 32 72 40 5 159<br />
TOTAL 13 51 132 83 9 288<br />
Table 3.1.56: Distribution of respondents by gender according to their opinion about the street design solutions (lightning, pavement material,<br />
greenery, etc) used in Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.56, the SPSS calculated the Chi2 to be 5,326 with a degree of freedom (df) 5 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
60 61
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 1 4 8 4 2 19<br />
VOCATIONAL EDUC. 3 5 15 9 0 32<br />
HIGH SCHOOL 1 6 16 17 0 40<br />
SHORT HIGHER EDUC. 3 8 12 8 0 31<br />
MEDIUM HIGHER EDUC. 3 19 48 30 5 105<br />
LONG HIGHER EDUC. 3 9 32 15 2 61<br />
TOTAL 14 51 131 83 9 288<br />
Table 3.1.57: Distribution of respondents by educational level according to their opinion about the street design solutions (lightning, pavement<br />
material, greenery, etc) used in Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.57, the SPSS calculated the Chi2 to be 18,201 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT AT ALL<br />
NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
01-20 YEARS 8 1 3 3 1 16<br />
21-30 YEARS 23 20 26 28 7 104<br />
31-40 YEARS 13 13 9 3 3 41<br />
41-50 YEARS 12 9 13 7 3 44<br />
51-60 YEARS 8 13 14 10 3 48<br />
61-90 YEARS 4 7 8 5 3 27<br />
TOTAL 68 63 73 56 20 280<br />
Table 3.1.58: Distribution of respondents by age groups according to their opinion about the street design solutions (lightning, pavement material,<br />
greenery, etc) used in Vestergade Vest and Mageløs.<br />
Out of the Table 3.1.58, the SPSS calculated the Chi2 to be 20,451 with a degree of freedom (df) 20 and the missing<br />
values are 18. P is bigger than 0,250. Therefore, the variables are independent.<br />
Figure 3.1.62: Vestergade Vest streetscape.<br />
62 63
3.2 CASE2<br />
BICYCLE TRACK HANS BROGES GADE<br />
3.2.1 AARHUS<br />
Aarhus is the second largest Danish municipality and<br />
had a population of 307.119 inhabitants in 2010 (Statistikbanken,<br />
2010). The municipality is located in the east<br />
side of the peninsula named Jutland and it is part of the<br />
Central Jutland Region.<br />
better bicycle parking facilities, to optimize the combined<br />
use of cycling and public transport in order to expand the<br />
bicycle outreach and to improve dialog between cyclists<br />
and municipality (Aarhus Municipality, 2010a).<br />
Differently from the municipalities of Copenhagen and<br />
Odense, Aarhus does not have a determined rate of cyclists<br />
to be achieved. According to the interview with Pablo<br />
Celis a civil engineer at Aarhus municipality, the Aarhus<br />
vision is to focus on a carbon neutral city and one of the<br />
main strategies for that is the increasing of the bike as<br />
transportation mode.<br />
ÅRHUS<br />
Aarhus Bicycle City functions as an umbrella for all the<br />
municipality initiatives in regards cycling – e.g. city bikes,<br />
campaigns and events to promote a bicycle culture. The<br />
Aarhus Bicycle City webpage – www.aarhuscykelby.dk<br />
– includes news about new bicycle projects, campaign<br />
s and a forum where people can make suggestions and<br />
proposals related to the Aarhus bike infrastructure.<br />
Figure 3.2.2: Screen print of Aarhus Bicycle City webpage - www.aarhuscykelby.dk.<br />
Figure 3.2.1: Geographical location of Aarhus.<br />
On the 10th of April 2010, the Aarhus Bicycle City transformed<br />
the City Hall square in a “bicycle`s Mecca” where<br />
people could have diverse experiences with their bikes<br />
and also see different ways of experiencing cycling (Aarhus<br />
Cykelby, 2010a).<br />
MUNICIPALITY VISION<br />
In the Municipal Plan 2009, Aarhus municipality announced<br />
its new vision as an environmental and energy<br />
sustainable city. Within its vision, there is a goal to become<br />
carbon neutral by the year 2030 (Aarhus Municipality,<br />
2009b).<br />
In order to achieve this goal, the Aarhus Traffic Plan aims<br />
to offer in the year 2030 this scenario:<br />
Inspired by the postal number of Aarhus – 8000 – another<br />
campaign launched by Aarhus municipality was the “8000<br />
benefits of cycling”. Where 8000 citizens were asked<br />
about the benefits cycling brought to them. The results<br />
of the campaign are posted on the Aarhus Bicycle City<br />
webpage and there is also a movie in the internet about<br />
the campaign. Aarhus municipality has also implemented<br />
bicycle countings in the main bike corridors. The automatic<br />
cyclist counters and monitors are very informative<br />
and they are also used as an active element that inspires<br />
the population.<br />
Figure 3.2.3: Automatic cyclist count at Hans Broges.<br />
“Aarhus Municipality`s infrastructure offers optimal conditions<br />
for both cyclists and the public transportation. Moreover,<br />
Aarhus municipality is known internationally as a<br />
bicycle city” ”(Aarhus Municipality, 2009b).<br />
At the Aarhus Bicycle Action Plan 2007, six main focus areas<br />
for development of bike infrastructures are described.<br />
The major one is the development of a coherent bicycle<br />
network, making this network more permeable. Other<br />
focus areas are: to make road intersections more bike<br />
friendly, to improve safety conditions, to create more and<br />
At the latest campaign, Aarhus Bicycle City promoted a<br />
competition between every street – with an automatic bicycle<br />
count installed with the winner being the one that<br />
increased the number of cyclists. The counting was made<br />
based on existing counts over a period of two weeks. Using<br />
already installed automated counters in the different<br />
neighbourhoods it was possible to register which of the<br />
neighbourhoods had the highest increase. The winning<br />
street was Hans Broges Gade. The street won the competition<br />
with an increase of 41% in the number of bicycle<br />
rides during the two weeks of the competition (Aarhus<br />
Stiftstidende, 2010).<br />
Figure 3.2.4: Aarhus City Hall square transformed in a “bicycle`s Mecca”. Event<br />
promoted by the Aarhus Bicycle City on the 10th of April 2010.<br />
Source: Aarhus Municipality.<br />
Figure 3.2.5: Aarhus City Hall square transformed in a the “bicycle`s Mecca”. Event<br />
promoted by the Aarhus Bicycle City on the 10th of April 2010.<br />
Source: Aarhus Municipality.<br />
64 65
BICYCLE NETWORK<br />
Aarhus municipality has approximately 450 kilometres of<br />
bicycle tracks and lanes. Considering its 307.119 inhabitants<br />
(Danske Kommuner, 2009), Aarhus municipality has<br />
1,46 metres of bicycle lanes and tracks per inhabitant.<br />
The Aarhus` rate of bicycle tracks and lanes per inhabitant<br />
is the double from Copenhagen and slightly smaller<br />
than Odense.<br />
Aarhus has a coherent bicycle network plan which consists<br />
of seven bicycle routes linking the core of the city to<br />
the suburbs. The main focus has been to improve permeability<br />
and improvement of safety. It is expected to cost<br />
100 million Danish krones to implement the plan (Aarhus<br />
Municipality, 2010a). From this amount, seventy million<br />
Danish crowns have been granted (Aarhus Municipality,<br />
2010a).<br />
HANS BROGES GADE<br />
Hans Broges Gade – our case study – is part of the Holme<br />
bicycle corridor which connects the suburbs of Holme to<br />
the core of Aarhus city. The entire improvement of the<br />
Holme corridor has a budget of 14 million Danish krones.<br />
Figure 3.2.6: The seven main bicycle connections between the core of Aarhus and<br />
suburbs. Source: Cykelhandlingsplan – En plan for fremtidens cyklist forhold i Århus<br />
Kommune. Source: Aahus Municipality<br />
Figure 3.2.7: The bicycle network of Aarhus municipality.<br />
Source: Aahus Municipality<br />
Figure 3.2.8: Ortophoto of Hans Broges Gade. Modified from original picture from Google Earth<br />
N<br />
66 67
3.2.2 HANS BROGES GADE<br />
Hans Broges Gade is located in the Aarhus` inner city<br />
ring, in a dense neighbourhood composed by block structures<br />
up to five stories high from the early 20th century.<br />
The neighbourhood is on outskirts of the city and the majority<br />
of its buildings has residential use. However some<br />
buildings have mixed use where shops and offices are<br />
located in the ground floor.<br />
In this scenario, the street functions as an important link<br />
between the suburbs and the core of the city. Moreover<br />
there is a pedestrian life from mostly local residents that<br />
use the local commerce.<br />
The purpose of the intervention at Hans Broges Gade<br />
was to improve a bicycle route connecting southern suburbs<br />
of Holme to the centre of the city to become one of<br />
seven main bicycle corridors of the bicycle network plan.<br />
BEFORE AND AFTER<br />
Hans Broges Gade used to be a street with broad lanes<br />
for motorized vehicles and car parking facilities in both directions<br />
just next to the sidewalks. There were only bicycle<br />
tracks at the beginning of the street in the side facing<br />
Marcelis Boulevard for the first 100 meters. Along the rest<br />
of the street, cyclists had to ride their bikes on the outside<br />
of the rows of parked cars together motorized vehicles,<br />
especially busses.<br />
With long blocks of up to 150 metres, cyclists with their<br />
bikes parked in the sidewalk had difficulty to access the<br />
road because of the row of parked cars. During the field<br />
observation several elderly residents mentioned it to be<br />
unsafe to walk on the sidewalks because cyclists preferred<br />
to ride their bikes on them, and consequently becoming<br />
unsafe for the pedestrians.<br />
In order to give space to implement bicycle tracks in both<br />
directions of the street, one of the car parking rows was<br />
removed.<br />
THE COSTS OF HANS BROGES GADE<br />
The construction work of Hans Broges Gade was conducted<br />
between the 1st of December 2009 and the 15th<br />
of July 2010. The construction was delayed for several<br />
months due to a harsh winter and from road construction<br />
diggings for reinstalling main cables.<br />
Aarhus municipality hired the counting firm for Grontmij<br />
Cal Bro to develop the project and manage the construction,<br />
consulting engineers for project design and construction<br />
management.<br />
The overall cost of the project was 2,8 million Danish krones.<br />
At the project end maintenance became part of regular<br />
municipality maintenances with no costs specified.<br />
After the opening, the maintenance costs of the infrastructure<br />
were estimated by the municipalities assumption<br />
costs and there is no information about specific costs.<br />
Figure 3.2.9: Hans Broges Gade view before the intervention, in September 2009. Source: Google street view<br />
Figure 3.2.10: Hans Broges Gade view after the intervention, in September 2010<br />
68 69
DESIGN CHARACTERISTICS AND<br />
STREETSCAPE<br />
TECHNICAL DRAWINGS<br />
DESIGN CONCEPT<br />
Han Broges Gade is part of the Holme corridor which<br />
links the city core to the Holme suburbs. The infrastructure<br />
aimed to improve biking conditions in the corridors.<br />
(Figure 3.2.11 and 3.2.12). The area is predominantly<br />
residential with some commercial buildings. The sidewalk<br />
has been divided into a shared space between bike<br />
parking, a pedestrian path, bike path and a grassed area<br />
which separates the bike path from the road where cars<br />
are parked. The street is around 430 metres long, and<br />
contains a garden square with some shops and residential<br />
apartments.<br />
Figure 3.2.11 Hans Bro Gade bike path<br />
Figure 3.2.12 Traffic calming at crossing.<br />
Figure 3.2.13 Technical drawings from Hans Bro Gade. Source: COWI.<br />
70 71
SURFACE AND FLOW STRUCTURE<br />
The flow of cyclists and pedestrians at Han Broges Gade<br />
is going in both directions on either side of the road. Looking<br />
south down the streetscape the sidewalk is divided into<br />
three spaces. Beginning from the building across there is<br />
a space for bike parking and shop signs. The pedestrian<br />
path lies directly next to the bike path divided by a small<br />
drainage gutter. The grass area separates cyclists from<br />
the parked cars and the street. On the opposite side of the<br />
street there is no car parking and no grass area dividing<br />
the cars from the cyclists (Figure 3.2.14 and 3.2.15).<br />
The flow of traffic in the morning is quite busy as people<br />
are heading into the city for work or school. Cyclists are<br />
very eager to get to their destinations and understand<br />
how to navigate the bike path with other cyclists and on<br />
coming pedestians in the sidewalk next to them. The<br />
pedestrians walking on the sidewalk do not disturb the<br />
flow of cyclists. The cyclists have to navigate around the<br />
curved bend in the bike path which slows them down and<br />
makes them aware to look for cars passing over the bike<br />
path, however cars must give way to the flow of cyclists<br />
crossing the road. Complications can arise when the cars<br />
do not give way to the flow of cyclists therefore possibly<br />
PEDESTRIAN<br />
SIDEWALK<br />
BIKE PATH<br />
CAR PARKING<br />
STREET<br />
BIKE PATH<br />
PEDESTRIAN<br />
SIDEWALK<br />
Hans Broges Gade<br />
BIKE PARKING/<br />
SIGNS<br />
DRAINAGE GUTTER<br />
GRASS AREA<br />
Figure 3.2.14: Hans Broges Gade section.<br />
Figure 3.2.16: Crossing at Hans Broges Gade<br />
Figure 3.2.15: Hans Broges Gade plan.<br />
72 73
PAVEMENT<br />
The sidewalk and bike path is a combination of concrete<br />
tiles, stone tiles and asphalt. The sidewalks are a lighter<br />
colour in contrast to the dark bike path creating a clear<br />
division between the spaces. The sidewalks are divided<br />
by stone tiles separating pedestrians from each other.<br />
To guide the cyclists in the correct lane a white symbol of<br />
a bike has been painted at the road crossings, which also<br />
alerts car drivers that this is a lane dedicated to cyclists<br />
(Figure 3.2.17 and 3.2.18). A small asphalt ramp has<br />
been applied to the gutter so the cars and cyclists can<br />
drive over the bike path and pedestrian sidewalk.<br />
HIERARCHY OF USERS<br />
The car needs to go up to the level of the cyclist to cross<br />
the cyclist path. The cyclist has priority for crossing the<br />
road therefore the car must give way to the in coming flow<br />
of cyclists and pedestrians (Figure 3.2.19).<br />
VELOCITIES<br />
Since the bike path is solely dedicated to cyclists they<br />
can go quite fast, they are also able to ride comfortably<br />
next to each other while having a conversation see Figure<br />
3.2.23. Hans Broges Gade has high and low peaks<br />
of traffic during the day. Peak hours where the bike path<br />
is most populated is in the morning from 7am to 10am<br />
when people are on their way to work or school. Other<br />
peak hours are in the afternoon/evening from 4pm till<br />
7pm when people are on their way home from work and<br />
school. During these times it is more difficult for cyclists to<br />
go very fast as the bike path is more crowded. However<br />
during off peak times cyclists can go faster as there are<br />
less cyclists, these times are from 10am till 3pm, 7pm till<br />
7am and on the weekends.<br />
Figure 3.2.19: Hierarchy of transport modes<br />
Cyclists can ride consistent speeds along the bike path<br />
however they must slow down at the curves in the path<br />
where they cross the side street (Figure 3.2.21 and<br />
3.2.22). Walkers do not present any problems to the infrastructure<br />
as they are moving so slowly but they do have<br />
to pay a lot of attention to fast moving cyclists and cars<br />
at the intersections. Conflicts can arise when people are<br />
riding slowly or cyclists with kids that are riding slowly, this<br />
can become unsafe with fast riding cyclists that try to ride<br />
around them into the pedestrian path.<br />
Figure 3.2.21: Cyclist riding down while entering the bike lane.<br />
Figure 3.2.17: <strong>Bike</strong> path and sidewalk.<br />
PEDESTRIAN PATH<br />
Figure 3.2.22: Cyclist slowing down at the crossing.<br />
BIKE PATH<br />
CAR MUST GIVE WAY TO CYCLISTS<br />
Figure 3.2.18 Crossing section<br />
BIKE PATH<br />
CURVE HUMP<br />
Figure 3.2.20: Individual riding his bike at a high speed<br />
Figure 3.2.23: Two individuals riding their bikes next to each other and talking.<br />
74 75
PARKING<br />
TREES AND LANDSCAPING DESIGN<br />
STREET FURNITURE<br />
Hans Broges Gade includes parking for bikes and cars.<br />
People tend to park their bikes along the front of residential<br />
buildings and shops. While cars have designated<br />
parks cut out of the greenery areas keeping them well organised<br />
into the streetscape (Figures 3.2.24 and 3.2.25).<br />
There is no car parking on the other side of the road.<br />
The area along Hans Broges Gade is sprinkled with two<br />
small areas of garden landscape. The first is a triangular<br />
garden that sits above a car park servicing a block of<br />
apartments (Figure 3.2.28). The second is a pretty garden<br />
square that houses rows of trees in a concrete paved<br />
landscape (Figure 3.2.27 and 3.2.29). Bordering the bike<br />
path and the street is a strip of grassed area separating<br />
the cyclists from the street. However on the opposite side<br />
of the street there is no grass strip.<br />
SEATING<br />
There are a few pieces of street furniture in the area.<br />
They are all chairs and reside in front of and in the garden<br />
square (Figure 3.2.30).<br />
MISSING<br />
SEATING<br />
GARDEN SQUARE<br />
Figure 3.2.30: Bench at Tietgens Square.<br />
GRASS<br />
STRIP<br />
SEATING<br />
STREET LIGHTS<br />
Figure 3.2.24: Car parking at Hans Broges Gade.<br />
Figure 3.2.27: Greenery at Hans Broges Gade.<br />
Lamps hang above the middle of the road (Figure 3.2.31).<br />
Figure 3.2.31: Street lamp.<br />
Figure 3.2.25: <strong>Bike</strong> and car parking.<br />
Figure 3.2.28: Front garden at Hans Broges Gade.<br />
PUBLIC ART<br />
At the Tietgens Square stands a statue in honor<br />
to Hans Broge. Hans Broges Gade was opened<br />
in 1901 and named after the renowned merchant<br />
and city counciler Hans Broge (1822-1908) (Figure<br />
3.2.32).<br />
Figure 3.2.26: Hans Broges Gade plan.<br />
Figure 3.2.29: Tietgens Square.<br />
Figure 3.2.32: Statue in honor to Han Broge.<br />
76 77
SIGNAGE<br />
Signage includes the counting meter which calculates<br />
the amount of cyclists that travel on the bike path (Figure<br />
3.2.33). There are a few car parking signs indicating when<br />
and where you can park your car.<br />
Other signage includes the bike symbol on the bike path<br />
itself and at the areas where cyclists can cross the road<br />
(Figure 3.2.34). However the bike symbol is visually<br />
not evident enough as you see below in Figure 3.2.35<br />
and 3.2.36 a car has parked over the bike symbol and<br />
at the same time blocking the bike ramp where cyclists<br />
can cross. The bike symbol is also located at the curved<br />
crossing as you can see in Figure 3.2.37.<br />
Figure 3.2.33: Cyclist counting meter<br />
Figure 3.2.35: Car covering bike signage<br />
Figure 3.2.34: <strong>Bike</strong> signage.<br />
Figure 3.2.36: Car covering bike signage<br />
Figure 3.2.37: <strong>Bike</strong> symbol located on the bike path curve and intersection<br />
78 79
CROSSINGS, INTERSECTIONS<br />
There are a few crossings and intersections that cyclists<br />
must navigate to ensure a safe ride. These include the<br />
main entrance where the path begins and the curved intersections<br />
which act as a bridge over the side streets.<br />
Also the small bike ramps which enable cyclists to leave<br />
the path and cross the road.<br />
As previously discussed cyclists must be weary of cars<br />
passing through the bike path even though the cyclist<br />
has priority when crossing the path. A big problem as discussed<br />
in signage is when cars park over the bike symbol<br />
making it difficult for the cyclist to cross the road as<br />
he can not see the bike ramp or the bike symbol (Figure<br />
3.2.38). Also sometimes there are no ramps for cyclists to<br />
cross therefore they are not even able to cross the road,<br />
this leads to cyclists riding up the wrong side of the road.<br />
The Figure 3.2.39 highlights a few problems where there<br />
is either no signage or the signage and ramp has been<br />
covered by parked cars.<br />
Figure 3.2.40 Cyclist riding his bike in the car lane<br />
Other problems include locating the ramp on the curved<br />
path only in the middle, as cyclists then have to always<br />
ride back into the half circle to enter the bike path and turn<br />
left. This leads to cyclists taking short cuts and riding up<br />
the road instead (see Figure 3.2.40).<br />
Figure 3.2.38: <strong>Bike</strong> signage and ramp covered and cyclist crossing in an alternative<br />
way<br />
Figure 3.2.39: Sequency of images of a cyclist crossing the<br />
street in an inappropriate way.<br />
Figure 3.2.41: Cyclist riding his bike in the sidewalk.<br />
80 81
ACCESSIBILITY<br />
To access the new bike path coming from the suburbs you<br />
must cross a main road at the southern end of Hans Broges<br />
Gade then enter the bike path (Figure 3.2.42). The<br />
bike path also has multiple access points via side streets<br />
horizontally conversing over the bike path. At the end of<br />
Hans Broges Gade in the direction of the city, the bike<br />
path is at the northern end where it dissovles into the road<br />
(FIgure 3.2.43).<br />
BUILT ENVIRONMENT AND USE<br />
The street was constructed with a light curve which was<br />
one of the major ideas under the concept of creating a<br />
more diverse streetscape and living experience. The plan<br />
of the street thereby rejects the monotony that was part of<br />
the landscape at that time The surrounding area around<br />
Hans Broges Gade mostly consists of residential apartments<br />
with some commercial business centers with some<br />
parks and gardens scattered in between them. Hans Broges<br />
Gade acts as a main traffic corridor filtering a flow<br />
of cars, cyclists and pedestrians into the core of the city.<br />
(Figure 3.2.44).<br />
The planned effect of greater diversity becomes visible<br />
when passing through the street. The curved facade line<br />
limits the visibility, but when moving through the street<br />
new perspectives gradually open up to new experiences.<br />
The majority of the buildings at Hans Broges Gade is four<br />
stores and which were erected between 1900 and 1910.<br />
Most of the buildings are designed with facade detailsincorporating<br />
bay windows together with corner towers<br />
and spines.<br />
Figure 3.2.42: Cyclists entering from the suburbs.<br />
Figure 3.2.44: Built environment at Hans Broges Gade.<br />
Figure 3.2.43: Entrance form the city centre<br />
82 83
Total number of cyclists in a day in September from 2006 to 2010<br />
1500<br />
1000<br />
Total number of cyclists per hour in a day in September from 2006 to 2010<br />
160<br />
140<br />
120<br />
2006<br />
2007<br />
2008<br />
2009<br />
2010<br />
500<br />
100<br />
80<br />
60<br />
2006 2007 2008 2009 2010<br />
40<br />
CYCLIST COUNTINGS<br />
NUMBER OF CYCLISTS<br />
20<br />
6-7<br />
7-8<br />
8-9 9-10 10-11 11-12 12-13 13-14 14-15 15-16 16-17 17-18 18-19<br />
160<br />
140<br />
120<br />
100<br />
80<br />
60<br />
40<br />
20<br />
0<br />
6-7<br />
7-8<br />
8-9<br />
9-10 10-11 11-12<br />
12-13<br />
13-14 14-15 15-16 16-17<br />
17-18 18-19<br />
HOURS<br />
6-7<br />
8-9<br />
11-12<br />
30 <strong>Bike</strong>s 130 <strong>Bike</strong>s 60 <strong>Bike</strong>s<br />
16-17<br />
18-19<br />
140 <strong>Bike</strong>s: 70 <strong>Bike</strong>s<br />
Figure 3.2.45: Cyclist countings at Hans Broges Gade<br />
Source: Aarhus municipality<br />
84 85
THE WEB SURVEY<br />
The web survey analysis is divided in four sections. Firstly,<br />
main findings are presented. The second section describes<br />
the spatial distribution of the residential location<br />
of the respondents. Thirdly, it is presented a descriptive<br />
statistic to analyze all the answers. In search of finding relationships<br />
between socio-demographic variables and the<br />
web survey answers, the last section presents a statistical<br />
analysis using the Chi2 test.<br />
A total of 163 individuals that were riding a bike at Hans<br />
Broges Gade on September 2 answered the questionnaire<br />
in the period between September 2 and October 1.<br />
Based on the Aarhus municipality count done in September<br />
2009, on average there are 15 out of 1251 bicycle<br />
trips at Hans Broges Gade from 7am until 7pm – including<br />
both directions – on weekdays. Estimating that 35% of<br />
these cyclists ride their bikes at least once per day in the<br />
infrastructure, it was stipulated a total of 813 individuals<br />
ride a bike at Hans Broges Gade per day.<br />
A total of 605 flyers were distributed to individuals riding<br />
their bikes in the infrastructure from 7am until 7pm and<br />
from these total 163 answered the questionnaire.<br />
Based on these figures, the respondents represent<br />
20,04% of the total of individuals riding a bike per day in<br />
the infrastructure and 26,94% of individuals that collected<br />
the flyer while riding a bike in the infrastructure on the<br />
2nd of September 2010.<br />
MAIN FINDINGS<br />
The data from the survey reveals a picture of Hans Broges<br />
Gade as a piece of infrastructure used by the majority<br />
of the cyclists for commuting (45%). However, the main<br />
purpose of the trips from the other 55% of cyclists is very<br />
diverse (19% shopping, 13% educational institutions 6%<br />
recreational, 4% visiting family and friends and 13% others).<br />
The figures are directly connected to the built environment<br />
were the infrastructure is located – and main<br />
streets in a residential based neighborhood next to the<br />
city core.<br />
After the Chi2 test was applied, the results highlight that<br />
most of the answers do not have a relationship with sociodemographic<br />
conditions. However, some representative<br />
relations between the independent variables – gender,<br />
age and educational level – and the questionnaire answers<br />
were identified.<br />
There is a relationship between the main trip purpose<br />
when riding a bike at Hans Broges Gade including both<br />
age and educational level. Moreover, the opinion about<br />
how the design solution of the infrastructure impacted<br />
fast connectivity also has a relationship with both age and<br />
educational level.<br />
Regarding the satisfaction with the design solution for<br />
Hans Broges Gade, it seems to have a relationship between<br />
the answers and educational level.<br />
Finally, gender has a relationship with both the opinion<br />
about the awareness of pedestrians for cyclists and their<br />
opinion about the scenic and greenery quality of Hans<br />
Broges Gade.<br />
The following section provides the actual data for each of<br />
the questions asked.<br />
RESIDENTIAL LOCATION OF USERS<br />
The residential addresses of the respondents – individuals<br />
riding a bike at Hans Broges Gade on September 2 –<br />
were registered and geo-referenced in order to produce a<br />
map (see Figure 3.2.46 and 3.2.47). According to the Table<br />
xx, the majority of the respondents (68,1%) live within<br />
a radius of 1 kilometer and 91,9% of them living within 5<br />
kilometers distance from the infrastructure.<br />
Respondents living more than 5 kilometers from the infrastructure<br />
correspond to 8,1% of the total and from this<br />
amount only 15% are living more than 10 kilometers away<br />
of the infrastructure.<br />
0-1 KM 1-2 KM 2-3 KM 3-4 KM 4-5 KM 5-10 KM 10-15 15-20 20 KM<<br />
KM KM<br />
NO. DWELLINGS 111 11 7 16 4 10 2 0 2<br />
% DWELLINGS 68,1% 6,7% 4,3% 9,8% 2,5% 6,1% 1,2% 0,0% 1,2%<br />
Table 3.1.1: Absolute and percentage distribution of respondents according to the<br />
distance of their residential location from Hans Broges Gade.<br />
86 87
10 km<br />
30 km<br />
5 km<br />
20 km<br />
4 km<br />
15 km<br />
3 km<br />
10 km<br />
2 km<br />
5 km<br />
1 km<br />
N<br />
N<br />
Figure 3.2.46: Spatial distribution of the respondents according to their residential location – 5km<br />
Figure 3.2.47: Spatial distribution of the respondents according to their residential location - 20km<br />
88 89
DESCRIPTIVE STATISTICS<br />
SOCIO-DEMOGRAPHICS<br />
AGE<br />
35%<br />
30%<br />
AGE<br />
EDUCATION LEVEL<br />
40%<br />
35%<br />
EDUCATION LEVEL<br />
HOW OFTEN DO YOU GO ON HANS BROGES GADE<br />
WALKING AT HANS BROGES WITHOUT BIKE? GADE<br />
30%<br />
HOW OFTEN DO YOU USE THE BIK E FOR THE PURPOSE<br />
IN THE PREVIUS QUESTION AFTER THE OPENING OF<br />
FREQUENCY OF TRIPS TO THE MAIN PURPOSE<br />
HANS BROGES GADE?<br />
1% 1% 2%<br />
25%<br />
20%<br />
15%<br />
30%<br />
25%<br />
20%<br />
15%<br />
25%<br />
20%<br />
15%<br />
16%<br />
7%<br />
NO ANSWER<br />
MORE RARELY<br />
NOT AS OFTEN<br />
10%<br />
10%<br />
10%<br />
JUST AS OFTEN AS BEFORE<br />
5%<br />
5%<br />
5%<br />
MORE OFTEN<br />
0%<br />
NO 00 - 10<br />
ANSWER YEARS<br />
11 - 20<br />
YEARS<br />
21 - 30<br />
YEARS<br />
31 - 40<br />
YEARS<br />
41 - 50<br />
YEARS<br />
51 - 60<br />
YEARS<br />
Figure 3.2.48: Distribution of the respondents by age groups.<br />
61 - 70<br />
YEARS<br />
71 - 80<br />
YEARS<br />
81 - 90<br />
YEARS<br />
The majority of the respondents at Hans Broges Gade<br />
are between 21-30 years (30%), followed by respondents<br />
aged 31-40 (19%) and aged 41-50 (15%). Older respondents<br />
range from aged from 51-60 (12%), age 61-70 (9%)<br />
and age 71-80 (2%). Younger respondents were in the<br />
aged 11-20 (6%) and age 0-10 (1%). No answer 3%. This<br />
shows that Hans Broges Gade is used mostly by younger<br />
people but also that the site is use by a wide ranges of<br />
ages.<br />
0%<br />
NO ANSWER<br />
PUBLIC<br />
SCHOOL<br />
VOCATIONAL<br />
EDUCATION<br />
HIGH<br />
SCHOOL<br />
SHORT<br />
HIGHER<br />
EDUCATION<br />
Figure 3.2.50: Distribution of the respondents by educational level.<br />
MEDIUM<br />
HIGHER<br />
EDUCATION<br />
LONG<br />
HIGHER<br />
EDUCATION<br />
The large majority of respondents answered that they<br />
have a long higher education (34%), or a medium long,<br />
higher education (32%). 7% respondents answered that<br />
they had attended higher education for a short amount of<br />
time, and another 7% respondents answered a vocational<br />
education. 12% of the respondents had a gymnasium<br />
education, 6% had receiving a public school education,<br />
and 2% giving no answer. It can thereby be concluded<br />
that the users of Hans Broges Gade overall have a high<br />
education level.<br />
0%<br />
NO ANSWER 6-7 DAYS OF<br />
WEEK<br />
5 DAYS OF<br />
WEEK<br />
3-4 DAYS OF<br />
WEEK<br />
1-2 DAYS OF 1-3 DAYS OF<br />
WEEK MONTHS<br />
Figure 3.2.52: Distribution of the respondents by the frequency they walk at Hans<br />
Broges Gade.<br />
MORE<br />
RARELY<br />
Respondents were asked if they walk at Hans Broges<br />
Gade without bike. A majority responded traveled rarely<br />
without bike (26%). However, 21% answered to walk in<br />
the site 6-7 days a week (21%). 13% said 1-3 days a<br />
month, 17% said 1-2 days a week, 13% said 3-4 days a<br />
week, 7% stated 5 days a week and 2% gave no answer.<br />
This data shows that individuals that ride their bikes at<br />
Hans Broes Gade also walk in the site without their bikes.<br />
73%<br />
MUCH MORE OFTEN<br />
Figure 3.2.54: Distribution of the respondents by the frequency they ride a bike in<br />
Hans Broges Gade for the main purpose mentioned in the Figure 3.2.53 after the<br />
intervention in the site.<br />
Respondents were asked, how often they use the bike<br />
for their main purposed as answered in previous question<br />
after the opening of Hans Broges Gade. 73% of respondents<br />
answered that they travel for that purpose just<br />
as often as before. 16% of respondents stated that they<br />
bike for that purpose more often and 7% said much more<br />
often. Only 2 % in total answered that they traveled less<br />
often and 1 % much less often. 1 % gave no answer. This<br />
data indicates that the opening of Hans Broges Gade<br />
have had an small impact on the amount of travelers, The<br />
opening have therefore had a impact on the bikeability of<br />
the city.<br />
GENDER<br />
GENDER<br />
RIDING A BIKE AT HANS BROGES GADE<br />
HOW OFTEN DO YOU BIKE ON HANS BROGES GADE?<br />
MAIN TRIP PURPOSE<br />
WHAT IS YOUR PURPOSE ON HANS BROGES GADE?<br />
SATISFACTION HOW SATISFIED WITH ARE YOU HANS WITH BROGES HANS BROGES GADE GADE?<br />
52%<br />
4%<br />
44%<br />
NO ANSWER<br />
MAN<br />
WOMEN<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
13%<br />
19%<br />
11%<br />
2%<br />
45%<br />
NO ANSWER<br />
TRANSPORTATION TO AND<br />
FROM WORK<br />
RECREATION / LEISURE<br />
VISIT FAMILY / FRIENDS<br />
PURCHASING / SHOPPING<br />
33%<br />
3%<br />
14%<br />
11%<br />
1%<br />
NO ANSWER<br />
VERY DISSATISFIED<br />
DISSATISFIED<br />
NEUTRAL<br />
SATISFIED<br />
Figure 3.2.49: Distribution of the respondents by gender.<br />
5%<br />
0%<br />
NO ANSWER 6-7 DAYS OF<br />
WEEK<br />
5 DAYS OF<br />
WEEK<br />
3-4 DAYS OF<br />
WEEK<br />
1-2 DAYS OF 1-3 DAYS OF<br />
WEEK MONTHS<br />
MORE<br />
RARELY<br />
Figure 3.2.51: Distribution of the respondents by the frequency they ride a bicycle at<br />
Hans Broges Gade.<br />
4%<br />
6%<br />
TRANSPORTATION TO AND<br />
FROM SCHOOL<br />
OTHERS<br />
Figure 3.2.53: Distribution of the respondents by main trip purpose when riding a bike<br />
in Hans Broges Gade.<br />
38%<br />
VERY SATISFIED<br />
Figure 3.2.55: Distribution of the respondents by the level of satisfaction with the<br />
design of Hans Broges Gade<br />
When asked about their gender, 52% of the respondents<br />
were women and 44% were men, with 4% giving no answer.<br />
When asked how often they bike at the site, the majority<br />
50% of the respondents said that they use the bridge 5<br />
days per week (22%) or 6-7 days per week (31%). 20%<br />
of the respondents used the site 3-4 days per week, 12%<br />
said 1-2 days per week, 10% said 1-3 days per month and<br />
only 4% said that they rarely ride a bike that. The figures<br />
highlight that the site is a place where young people bike<br />
many days of the week.<br />
When asked for what purpose the respondents use Hans<br />
Broges Gade, 45% answered that they use the infrastructure<br />
for commuting to and from work. A great percentage<br />
19% also used Hans Broges Gade for shopping, 13%<br />
used it to commute to school, 4% answered to see friends<br />
or family, 6% for recreation, 11% said other purpose and<br />
2% gave no answer. This figure shows that Hans Broges<br />
Gade is as infrastructural element used for commuting<br />
but the street also has other infrastructural purposes.<br />
When asked how satisfied the respondent were with Hans<br />
Broges Gade 71% in total of them where satisfied (38%)<br />
or very satisfied (33%) with the new infrastructure. 11%<br />
were neutral, 1% were dissatisfied and 15% were very<br />
dissatisfied. 3% gave no answer. This figure shows that<br />
the majority likes the urban space wail a small majority of<br />
15% that have issues with Hans Broges Gade.<br />
90 91
HANS BROGES GADE’S DESIGN AND SAFETY<br />
SAFETY<br />
60%<br />
50%<br />
HANS BROGES GADE`S DESIGN AND AESTHETICS<br />
AESTHETICS / BEAUTY<br />
60%<br />
50%<br />
CONFLICT BETWEEN DIFFERENT TRANSPORT<br />
EXCEEDING THE BOUNDARIES OF BICYCLE PATHS,<br />
MODES<br />
SIDEWALK S AND LANES<br />
3% 2% 2%<br />
PAVEMENT PROBLEMS<br />
PAVEMENT PROBLEMS<br />
0%<br />
3%<br />
0% 1%<br />
40%<br />
30%<br />
40%<br />
30%<br />
9%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
11%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
20%<br />
A BIT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
10%<br />
0%<br />
-10%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
20%<br />
10%<br />
0%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
33%<br />
51%<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
85%<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
Figure 3.2.56: Distribution of the respondents according to their opinion about how<br />
the Hans Broges Gade`s design fulfilled the bicyclist safety aspect.<br />
Figure 3.2.58: Distribution of the respondents according to their opinion about how<br />
the Hans Broges Gade`s design fulfilled the aesthetics aspect.<br />
Figure 3.2.60: Distribution of the respondents according to their opinion about how<br />
problematic is the conflict between different transport modes at Hans Broges Gade.<br />
Figure 3.2.62: Distribution of the respondents according to their opinion about how<br />
problematic is the pavement at Hans Broges Gade.<br />
Users were asked about the quality of the safety needs<br />
of the infrastructure. The largest portion of respondents<br />
thought the design did a good job. 32% answered it did a<br />
very good job and 47% that it did a good job. 13% were<br />
neutral on the issue, only 5% said that they thought it did<br />
a bad job and 1% a very bad job. 2% gave no answer.<br />
These responses are therefore very satisfied with the<br />
safety issues at Hans Broges Gade.<br />
The respondents where asked about the aesthetics of the<br />
design of Hans Broges Gade, the majority of respondents<br />
stated that it either did a good (53%) or a very good (23%)<br />
job. A smaller part of the respondents were neutral (18%)<br />
in regards to beauty and aesthetics. A few said it did poorly<br />
(2%), or gave no answer (4%). This figure shows that<br />
people are satisfied with the aesthetics of the site.<br />
Respondents were if there were issues with boundaries of<br />
bicycle paths, sidewalks and lanes. A little over half of the<br />
respondents 51% said it was not a problem. 33% stated<br />
that is was a bit of the problem, 9% claimed it was problematic,<br />
3% said it was quite a problem, and 2% responded<br />
that it was a major problem. 2% gave no answer on<br />
whether passing space was an issue. This range shows<br />
that sidewalks can be a confusing space, and that almost<br />
half of the respondent saw it as problematic.<br />
When asked whether they thought surface issues like potholes<br />
were a problem on Hans Broges Gade, 85% of the<br />
responses said it was not a problem. 11% stated that it<br />
was a small problem, 3% claimed it was problematic. 1%<br />
gave no answer. This figure shows Hans Broges Gade<br />
has been well maintained, and therefore has a great percentage<br />
of satisfaction.<br />
HANS BROGES GADE’S DESIGN AND FAST<br />
FAST CONNECTION<br />
CONNECTIVITY<br />
60%<br />
50%<br />
40%<br />
30%<br />
ILLEGALLY PARKED BICYCLES<br />
ILLEGALLY PARKED BICYCLES<br />
1% 1% 1%<br />
4%<br />
13%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
OBSTACLES<br />
22%<br />
0%<br />
2%<br />
4%<br />
OBSTACLES<br />
3%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
CRACKS IN RAMPS AND INTERSECTIONS<br />
CRACK S AND RAMPS ON INTERSECTION S<br />
2% 0% 2%<br />
2%<br />
19%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
20%<br />
PROBLEMATIC<br />
PROBLEMATIC<br />
PROBLEMATIC<br />
10%<br />
0%<br />
80%<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
69%<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
75%<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.2.57: Distribution of the respondents according to their opinion about how<br />
the Hans Broges Gade`s design fulfilled the fast connectivity.<br />
Figure 3.2.59: Distribution of the respondents according to their opinion about how<br />
problematic illegal parking of bicycles is at Hans Broges Gade.<br />
Figure 3.2.61: Distribution of the respondents according to their opinion about how<br />
problematic is the existence of obstacles against the cyclists at Hans Broges Gade.<br />
Figure 3.2.63: Distribution of the respondents according to their opinion about how<br />
problematic is the existence of cracks and ramps at Hans Broges Gade.<br />
Respondents were asked if they thought the design of<br />
Hans Broges Gade was facilitating as a fast connections,<br />
and the majority responded that it did a good job (51%) or<br />
a very good job (29%). 15% respondents were neutral on<br />
the issue and very few stated that it did poorly (2%). 3%<br />
respondents gave no answer. From this figure, it is clear<br />
that Hans Broges Gade does a very good job of facilitating<br />
fast connections.<br />
Users were asked if they thought that illegally parked bicycles<br />
were a problem on the Hans Broges Gade. 80%<br />
of the responses said that they were not a problem, 13%<br />
said it was a small problem, 4% said it was problematic,<br />
1% said it was quite problematic, and 1% said it was very<br />
problematic. 1% gave no answer. This figure shows that<br />
illegally parked bicycles are not a big problem at the site.<br />
Respondents were asked whether they thought obstacles<br />
at Hans Broges Gade were an issue. The majority of the<br />
respondent stated that obstacles were not a problem<br />
69%. 22% stated that is was a small problem, 4% claimed<br />
it was problematic, 2% quite problematic, 3% gave no answer.<br />
This figure shows that only a small majority of users<br />
see obstacles as being an issue in using the Hans Broges<br />
Gade.<br />
Users were asked whether they thought cracks were a<br />
problem in ramps and intersections. 75% of the responses<br />
said it was not a problem. 19% thought that it was a<br />
small problem, 2% claimed it was problematic, 2% said it<br />
was quite a problem. 2% gave no answer. These results<br />
show that cracks in ramps and intersections can be a<br />
small problem, one that could be fixed with maintenance.<br />
92 93
AWARENESS OF PEDESTRIANS AND MOTORIZED<br />
VEHICLE DRIVERS FOR CYCLISTS<br />
LACK OF AWARENESS FOR THE SURROUNDING PEOPLE<br />
SCENIC<br />
POOR SCENIC AND GREENERY<br />
QUALITIES INFLUENCING TO RIDE A BIKE<br />
IF YES, WHAT QUALITIES ABOUT HANS BROGES GADE HAS<br />
INFLUENCED YOUR CHOICE OF BIKING MORE OFTEN?<br />
STREET HOW DESIGN IMPORTANT INFLUENCING IS STREET DESIGN TO RIDE (GREEN A AREAS, BIKE<br />
LIGHTING, ETC.) FOR YOUR DECISION TO TAKE THE<br />
BIK E?<br />
2% 1%<br />
7%<br />
2%<br />
NO ANSWER<br />
2% 2%<br />
10%<br />
1%<br />
NO ANSWER<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
30%<br />
25%<br />
20%<br />
26%<br />
62%<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
25%<br />
60%<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
5%<br />
0%<br />
SAFETY<br />
A GOOD EXPERIENCE<br />
FASTER CONNECTION<br />
WIDER BIKE LANES<br />
GREENER AREAS<br />
FASTER BIKE LANES<br />
GREEN WEDGE<br />
ATTRECTIVE LANDSCAPE<br />
BETTER SIGNPOSTING<br />
BIKE MAPS<br />
MAINTENANCE OF BIKES<br />
BIKE PARKING<br />
15%<br />
10%<br />
5%<br />
0%<br />
NO ANSWER NOT AT ALL NOT<br />
IMPORTANT<br />
IMPROTANT<br />
NEUTRAL IMPORTANT<br />
VERY<br />
IMPORTANT<br />
IMPROTANT<br />
Figure 3.2.64: Distribution of the respondents according to their opinion about how<br />
problematic is the lack of awareness of pedestrians and motorized vehicle drivers for<br />
people riding a bike at Hans Broges Gade.<br />
Respondents were asked whether they thought lack of<br />
awareness of pedestrians for cyclists was an issue. Most<br />
users 62% thought it was not a problem or a small problem<br />
26%. 7% stated it was problematic, 2% said it was<br />
quite a problem, and 1% responded that this was a major<br />
problem. 2% gave no answer. This figure shows that<br />
cyclists perceive a problem in regards the awareness of<br />
pedestrians and motorized vehicle drivers for cyclists.<br />
SIGNPOSTING AND ITS INTERPRETATION<br />
POOR SIGNPOSTING AND INTERPRETATION<br />
1% 0%<br />
2%<br />
2%<br />
Figure 3.2.66: Distribution of the respondents according to their opinion about how<br />
problematic is scenic and greenery at Hans Broges Gade.<br />
When asked whether they thought poor greenery and<br />
scenic landscaping was an issue at Hans Broges Gade,<br />
60% of the responses said it was not a problem, 25% said<br />
it was a small problem, 10% stated it was problematic,<br />
2% said it was quite a problem, and 2% responded that<br />
this was a major problem. 1% gave no answer. This figure<br />
shows that greenery can be a problem and that the lack<br />
of it is noticed by some users.<br />
ARE YOU BIKING MORE OFTEN AFTER THE OPENING OF<br />
BIKING MORE OFTEN HANS BROGES AFTER GADE? HANS BROGES GADE<br />
INTERVENTION<br />
1%<br />
Figure 3.2.68: Among the respondents that said yes in the previous question (Figure<br />
3.2.67), what qualities has influenced their choice to ride a bike more often after the<br />
intervention in Hans Broges Gade. The respondents could choose more than one<br />
option.<br />
Respondents were asked what aspect of the intervention<br />
make them ride their bike more often, the largest portion<br />
of users stated that safety (24%) was an important<br />
factor. 20% responded saying wide bicycle lanes made<br />
them ride more, and 13% stated that maintenance made<br />
an impact for them. 11% stated they rode more because<br />
Hans Broges Gade was a nice experience, and because<br />
faster bike lanes made the difference for them. The most<br />
important factors for the bikeability at Hans Broges Gade<br />
is therefore safety issues and the conditions of the bike<br />
lanes such as the proportions of the lane and the maintenance<br />
of it.<br />
Figure 3.2.69: Distribution of respondents according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to<br />
ride a bike.<br />
Users were asked, how important street design is in your<br />
decision to ride your bicycle. 25% of the respondents<br />
were neutral on the issue, 25% said it was not important,<br />
and 23% said it was important. 20% respondents stated<br />
that it was not important at all and 7% that is was very<br />
important factor for them. This figure shows that while<br />
streetscape is not a critical factor in bicycle use, they are<br />
still important and noticed by users.<br />
WHAT DO YOU THINK OF THE DESIGN SOLUTIONS<br />
STREET DESIGN SOLUTIONS AT HANS BROGES<br />
THAT ARE APPLIED TO HANS BROGES GADE (GREEN<br />
GADE<br />
AREAS, LIGHTING, ETC.)?<br />
50%<br />
15%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
13%<br />
NO ANSWER<br />
YES<br />
NO<br />
45%<br />
40%<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
80%<br />
MAJOR PROLEM<br />
86%<br />
10%<br />
5%<br />
0%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.2.65: Distribution of the respondents according to their opinion about how<br />
problematic is signposting and its interpretation at Hans Broges Gade.<br />
When asked whether poor signage was an issue, 80%<br />
of the responses said it was not a problem, 15% said it<br />
was a small problem, 2% stated it was problematic, 1%<br />
said it was quite a problem. 2% gave no answer. This figure<br />
shows that signage is not a major issue and that the<br />
design conveys how it should be used clearly to the user.<br />
Figure 3.2.67: Distribution of the respondents based on starting to ride a bike more<br />
often, or not, after the intervention at Hans Broges Gade.<br />
When asked whether they bike more often after the opening<br />
of Hans Broges Gade, 86% said they have not biked<br />
more while 13% said yes. 1% gave no answer. A small<br />
amount of the respondents are biking more often after<br />
the opening of Hans Broges Gade, which thereby states<br />
that the new design have improved that bikeability of the<br />
site and the amount of bikers.<br />
Figure 3.2.70: Distribution of respondents according to their opinion about the street<br />
design solutions (lightning, pavement material, greenery, etc) used in the intervention<br />
at Hans Broges Gade.<br />
When asked for their opinion on the design solution applied<br />
to Hans Broges Gade, most respondents replied that<br />
it was a good solution (47%) or that they were neutral on<br />
the issue (28%). 21% believed it was a very good design<br />
solution, only 2% thought it was bad, and 2% gave no<br />
answer. This figure shows that many believe that lighting<br />
and green scape at Hans Broges Gade is very well done.<br />
94 95
RELATIONS BETWEEN SOCIO-DEMOGRAPHIC VARIABLES AND WEB-<br />
SURVEY ANSWERS<br />
The Chi2 test was applied to identify possible relations between the socio-demographics (independent variables) of the<br />
sample and their answers from the web survey (dependable variables). Considering the nature of the studied variables<br />
– the majority of them are nominal – the Chi2 test was selected to this analysis.<br />
The Chi2 test is about finding out if there is a connection between the variables. It is about testing the nul hypothesis.<br />
H0 says that the variables are statistic independent and HA says the variables are statistic dependent. To the test we<br />
set a α-level at 0,05. In the case of the p-value is under that, we can’t reject the nul hypothesis.<br />
SOCIO-DEMOGRAPHICS AND WALKING AT HAND BROGES GADE<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
MALE 15 5 9 13 8 21 71<br />
FEMALE 20 5 11 15 14 19 84<br />
TOTAL 35 10 20 28 22 40 155<br />
Table 3.2.5: Distribution of the respondents by gender according to the frequency they walk at Hans Broges Gade.<br />
Out of the table 3.2.5, the SPSS calculated the Chi2 to be 1,715 with a degree of freedom (df) 5 and the missing values<br />
are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND RIDING A BIKE AT HANS BROGES GADE<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
MALE 20 19 15 7 7 3 71<br />
FEMALE 29 17 15 11 9 3 84<br />
TOTAL 49 36 30 18 16 6 155<br />
Table 3.2.2: Distribution of the respondents by gender according to the frequency they ride a bicycle at Hans Broges Gade.<br />
Out of the Table 3.2.2, the SPSS calculated the Chi2 to be 1,826 with a degree of freedom (df) 5 and the missing values<br />
are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
PUBLIC SCHOOL 0 2 0 2 2 3 9<br />
VOCATIONAL EDUC. 1 1 2 5 1 2 12<br />
HIGH SCHOOL 3 0 4 6 4 3 20<br />
SHORT HIGHER EDUC. 3 1 1 2 3 2 12<br />
MEDIUM HIGHER EDUC. 12 2 10 4 6 17 51<br />
LONG HIGHER EDUC. 166 5 5 9 6 13 54<br />
TOTAL 35 11 22 28 22 40 158<br />
Table 3.2.6: Distribution of the respondents by educational level according to the frequency they walk at Hans Broges Gade.<br />
Out of the table 3.2.6, the SPSS calculated the Chi2 to be 29,062 with a degree of freedom (df) 25 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
PUBLIC SCHOOL 1 3 1 1 2 1 9<br />
VOCATIONAL EDUC. 4 4 2 1 1 0 12<br />
HIGH SCHOOL 5 5 5 4 0 1 20<br />
SHORT HIGHER EDUC. 6 3 2 0 1 0 12<br />
MEDIUM HIGHER EDUC. 14 10 10 6 9 2 51<br />
LONG HIGHER EDUC. 20 11 12 6 3 2 54<br />
TOTAL 50 36 32 18 16 6 158<br />
Table 3.2.3: Distribution of the respondents by educational level according to the frequency they ride a bicycle at Hans Broges Gade.<br />
Out of the table 3.2.3, the SPSS calculated the Chi2 to be 18,265 with a degree of freedom (df) 25 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
01-20 YEARS 1 0 2 5 3 2 13<br />
21-30 YEARS 13 5 12 6 4 8 48<br />
31-40 YEARS 6 1 4 6 5 9 31<br />
41-50 YEARS 6 2 2 5 3 6 24<br />
51-60 YEARS 4 1 1 1 4 9 20<br />
61-90 YEARS 4 1 1 3 3 6 18<br />
TOTAL 34 10 22 26 22 40 154<br />
Table 3.2.7: Distribution of the respondents by age groups according to the frequency they walk at Hans Broges Gade.<br />
Out of the table 3.2.7, the SPSS calculated the Chi2 to be 25,515 with a degree of freedom (df) 25 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
01-20 YEARS 4 2 2 4 1 0 13<br />
21-30 YEARS 13 11 16 3 3 3 49<br />
31-40 YEARS 7 7 8 2 5 1 30<br />
41-50 YEARS 7 9 3 3 2 0 24<br />
51-60 YEARS 11 3 1 3 2 0 20<br />
61-90 YEARS 7 3 2 3 2 1 18<br />
TOTAL 49 35 32 18 15 5 154<br />
Table 3.2.4: Distribution of the respondents by age groups according to the frequency they ride a bicycle at Hans Broges Gade.<br />
Out of the table 3.2.4, the SPSS calculated the Chi2 to be 28,519 with a degree of freedom (df) 25 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND MAIN TRIP PURPOSE<br />
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREA-<br />
TION/<br />
LEISURE<br />
VISIT<br />
FAMILY/<br />
FRIENDS<br />
PURCHA-<br />
SING/<br />
SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
MALE 31 6 4 11 9 9 70<br />
FEMALE 41 4 3 18 11 8 85<br />
TOTAL 72 10 7 29 20 17 155<br />
Table 3.2.8: Distribution of the respondents by gender according to the main trip purpose when riding a bike in Hans Broges Gade.<br />
Out of the table 3.2.8, the SPSS calculated the Chi2 to be 2,452 with a degree of freedom (df) 5 and the missing values<br />
are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
96 97
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREA-<br />
TION/<br />
LEISURE<br />
VISIT<br />
FAMILY/<br />
FRIENDS<br />
PURCHA-<br />
SING/<br />
SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
TOTAL<br />
PUBLIC SCHOOL 1 1 1 2 2 2 9<br />
VOCATIONAL EDUC. 7 0 0 1 1 2 11<br />
HIGH SCHOOL 7 0 1 4 6 2 20<br />
SHORT HIGHER EDUC. 7 0 0 3 1 1 21<br />
MEDIUM HIGHER EDUC. 19 5 2 14 5 6 51<br />
LONG HIGHER EDUC. 32 4 3 7 5 4 55<br />
TOTAL 73 10 7 31 20 17 158<br />
Table 3.2.9: Distribution of the respondents by educational level according to the main trip purpose when riding a bike in Hans Broges Gade.<br />
Out of the table 3.2.9, the SPSS calculated the Chi2 to be 25,573 with a degree of freedom (df) 25 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
MORE RARELY<br />
NOT AS OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
01-20 YEARS 0 1 8 4 0 13<br />
21-30 YEARS 0 2 33 12 2 49<br />
31-40 YEARS 0 0 24 4 3 31<br />
41-50 YEARS 1 0 20 2 1 24<br />
51-60 YEARS 1 0 11 4 4 20<br />
61-90 YEARS 0 0 16 0 2 18<br />
TOTAL 2 3 112 26 12 155<br />
Table 3.2.13: Distribution of the respondents by age groups according to the frequency they ride a bike in Hans Broges Gade for the main<br />
purpose mentioned in the Figure 3.2.53, after the intervention in Hans Broges Gade.<br />
Out of the table 3.2.13, the SPSS calculated the Chi2 to be 26,945 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
TOTAL<br />
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREA-<br />
TION/ LEISURE<br />
VISIT<br />
FAMILY/<br />
FRIENDS<br />
PURCHA-SING<br />
/SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
TOTAL<br />
01-20 YEARS 2 0 0 1 7 3 13<br />
21-30 YEARS 16 6 2 11 12 2 49<br />
31-40 YEARS 15 2 2 7 1 4 31<br />
41-50 YEARS 18 0 1 1 0 4 24<br />
51-60 YEARS 12 1 1 6 0 0 20<br />
61-90 YEARS 6 1 1 5 0 4 17<br />
TOTAL 69 10 7 31 20 17 154<br />
Table 3.2.10: Distribution of the respondents by age groups according to the main trip purpose when riding a bike in Hans Broges Gade.<br />
Out of the table 3.2.10, the SPSS calculated the Chi2 to be 63,503 with a degree of freedom (df) 25 and the missing<br />
values are 9. P is less than 0,001. Therefore, the variables are dependent.<br />
SOCIO-DEMOGRAPHICS AND SATISFACTION WITH HANS BROGES GADE<br />
VERY<br />
DISSATISFIED<br />
DISSATISFIED NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 13 0 6 29 21 69<br />
FEMALE 10 1 11 31 31 84<br />
TOTAL 23 1 17 60 52 153<br />
Table 3.2.14: Distribution of the respondents by gender according to the level of satisfaction with the design of Hans Broges Gade.<br />
Out of the table 3.2.14, the SPSS calculated the Chi2 to be 3,414 with a degree of freedom (df) 4 and the missing values<br />
are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND FREQUENCY OF TRIPS TO THE MAIN PURPOSE<br />
MORE RARELY<br />
NOT AS OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
MALE 0 2 52 10 7 71<br />
FEMALE 2 1 62 15 5 85<br />
TOTAL 2 3 114 25 12 156<br />
Table 3.2.11: Distribution of the respondents by gender according to the frequency they ride a bike in Hans Broges Gade for the main purpose<br />
mentioned in the Figure 3.2.53, after the intervention in Hans Broges Gade.<br />
Out of the table 3.2.11, the SPSS calculated the Chi2 to be 3,314 with a degree of freedom (df) 5 and the missing values<br />
are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
VERY<br />
DISSATISFIED<br />
DISSATISFIED NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 4 0 3 1 1 9<br />
VOCATIONAL EDUC. 3 0 0 3 5 11<br />
HIGH SCHOOL 4 0 2 13 1 20<br />
SHORT HIGHER EDUC. 1 0 1 5 5 12<br />
MEDIUM HIGHER EDUC. 6 0 3 19 21 49<br />
LONG HIGHER EDUC. 5 1 8 21 20 55<br />
TOTAL 23 1 17 62 53 156<br />
Table 3.2.15: Distribution of the respondents by educational level according to the level of satisfaction with the design of Hans Broges Gade.<br />
Out of the table 3.2.15, the SPSS calculated the Chi2 to be 31,388 with a degree of freedom (df) 20 and the missing<br />
values are 7. P is between 0,050 and 0,025 but close to 0,050. Therefore, the variables are dependent.<br />
MORE<br />
RARELY<br />
NOT AS<br />
OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
PUBLIC SCHOOL 0 2 5 0 2 9<br />
VOCATIONAL EDUC. 0 0 8 2 2 12<br />
HIGH SCHOOL 0 0 14 6 0 20<br />
SHORT HIGHER EDUC. 0 0 8 3 1 12<br />
MEDIUM HIGHER EDUC. 1 1 40 7 2 51<br />
LONG HIGHER EDUC. 1 0 41 8 5 55<br />
TOTAL 2 3 116 26 12 159<br />
Table 3.2.12: Distribution of the respondents by educational level according to the frequency they ride a bike in Hans Broges Gade for the main<br />
purpose mentioned in the Figure 3.2.53, after the intervention in Hans Broges Gade.<br />
Out of the table 3.2.12, the SPSS calculated the Chi2 to be 34,451 with a degree of freedom (df) 20 and the missing<br />
values are 4. P is between 0,025 and 0,010. Therefore, the variables are dependent.<br />
TOTAL<br />
VERY<br />
DISSATISFIED<br />
NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 2 4 6 1 13<br />
21-30 YEARS 9 3 20 17 49<br />
31-40 YEARS 3 4 16 8 31<br />
41-50 YEARS 5 3 7 8 23<br />
51-60 YEARS 2 2 5 11 20<br />
61-90 YEARS 1 1 6 8 16<br />
TOTAL 22 17 60 53 153<br />
Table 3.2.16: Distribution of the respondents by age groups according to the level of satisfaction with the design of Hans Broges Gade.<br />
Out of the table 3.2.16, the SPSS calculated the Chi2 to be 18,723 with a degree of freedom (df) 15 and the missing<br />
values are 11. P is between 0,250 and 0,100, but close to 0,250. Therefore, the variables are independent.<br />
98 99
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE IMPACT OF HANS BROGES GADE`S DESIGN ON SAFETY<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 0 4 8 39 19 70<br />
FEMALE 1 4 11 37 31 84<br />
TOTAL 1 8 19 76 50 154<br />
Table 3.2.17: Distribution of the respondents by gender according to their opinion about how the Hans Broges Gade`s design fulfilled the<br />
bicyclist safety aspect.<br />
Out of the table 3.2.17, the SPSS calculated the Chi2 to be 3,160 with a degree of freedom (df) 4 and the missing values<br />
are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 2 0 5 1 8<br />
VOCATIONAL EDUC. 0 1 3 8 12<br />
HIGH SCHOOL 0 3 11 5 19<br />
SHORT HIGHER EDUC. 1 1 6 4 12<br />
MEDIUM HIGHER EDUC. 0 6 31 13 50<br />
LONG HIGHER EDUC. 1 12 27 15 55<br />
TOTAL 4 23 83 46 156<br />
Table 3.2.21: Distribution of the respondents by educational level according to their opinion about how the Hans Broges Gade`s design fulfilled<br />
the fast connectivity.<br />
Out of the table 3.2.21, the SPSS calculated the Chi2 to be 33,203 with a degree of freedom (df) 25 and the missing<br />
values are 7. P is between 0,005 and 0,001. Therefore, the variables are dependent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 1 2 2 4 9<br />
VOCATIONAL EDUC. 0 0 0 4 8 12<br />
HIGH SCHOOL 1 3 2 11 2 19<br />
SHORT HIGHER EDUC. 0 0 3 5 4 12<br />
MEDIUM HIGHER EDUC. 0 1 6 24 19 50<br />
LONG HIGHER EDUC. 0 3 7 31 14 55<br />
TOTAL 1 8 20 77 51 157<br />
Table 3.2.18: Distribution of the respondents by educational level according to their opinion about how the Hans Broges Gade`s design fulfilled<br />
the bicyclist safety aspect.<br />
Out of the table 3.2.18, the SPSS calculated the Chi2 to be 29,831 with a degree of freedom (df) 20 and the missing<br />
values are 6. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 1 1 9 2 13<br />
21-30 YEARS 1 4 30 12 47<br />
31-40 YEARS 0 7 18 6 31<br />
41-50 YEARS 0 5 13 6 24<br />
51-60 YEARS 0 2 5 12 19<br />
61-90 YEARS 1 4 6 7 18<br />
TOTAL 3 23 81 45 152<br />
Table 3.2.22: Distribution of the respondents by age groups according to their opinion about how the Hans Broges Gade`s design fulfilled the<br />
fast connectivity.<br />
Out of the table 3.2.22, the SPSS calculated the Chi2 to be 24,992 with a degree of freedom (df) 15 and the missing<br />
values are 11. P is between 0,100 and 0,050, but very close to 0,050. The variables are independent, but are very close<br />
to be dependent. If there is a bit of uncertainty the variables could be dependent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 1 4 6 2 13<br />
21-30 YEARS 0 0 7 26 15 48<br />
31-40 YEARS 1 1 3 20 6 31<br />
41-50 YEARS 0 3 2 9 10 24<br />
51-60 YEARS 0 1 2 5 11 19<br />
61-90 YEARS 0 1 1 9 7 18<br />
TOTAL 1 7 19 75 51 153<br />
Table 3.2.19: Distribution of the respondents by age group according to their opinion about how the Hans Broges Gade`s design fulfilled the<br />
bicyclist safety aspect.<br />
Out of the table 3.2.19, the SPSS calculated the Chi2 to be 26,529 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT HANS BROGES GADE`S AESTHETICS<br />
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 2 15 37 14 68<br />
FEMALE 2 13 47 22 84<br />
TOTAL 4 28 84 36 152<br />
Table 3.2.23: Distribution of the respondents by gender according to their opinion about how the Hans Broges Gade`s design fulfilled the<br />
aesthetics aspect.<br />
Out of the table 3.2.23, the SPSS calculated the Chi2 to be 1,443 with a degree of freedom (df) 3 and the missing values<br />
are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE IMPACT OF HANS BROGES GADE`S DESIGN ON FAST<br />
CONNECTIVITY<br />
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 2 9 37 21 69<br />
FEMALE 1 14 45 24 84<br />
TOTAL 3 23 82 45 153<br />
Table 3.2.20: Distribution of the respondents by gender according to their opinion about how the Hans Broges Gade`s design fulfilled the fast<br />
connectivity.<br />
Out of the table 3.2.20, the SPSS calculated the Chi2 to be 0,939 with a degree of freedom (df) 3 and the missing values<br />
are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 2 3 3 8<br />
VOCATIONAL EDUC. 0 1 5 6 12<br />
HIGH SCHOOL 2 5 9 3 19<br />
SHORT HIGHER EDUC. 0 0 7 5 12<br />
MEDIUM HIGHER EDUC. 1 8 29 11 49<br />
LONG HIGHER EDUC. 1 13 32 9 55<br />
TOTAL 4 29 85 37 155<br />
Table 3.2.24: Distribution of the respondents by educational level according to their opinion about how the Hans Broges Gade`s design fulfilled<br />
the aesthetics aspect.<br />
Out of the Table 3.2.24, the SPSS calculated the Chi2 to be 19,034 with a degree of freedom (df) 15 and the missing<br />
values are 8. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
100 101
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 1 3 7 2 13<br />
21-30 YEARS 1 11 29 6 47<br />
31-40 YEARS 2 5 18 6 31<br />
41-50 YEARS 0 1 14 9 24<br />
51-60 YEARS 0 3 7 9 19<br />
61-90 YEARS 0 5 9 3 17<br />
TOTAL 4 28 84 35 151<br />
Table 2.3.25: Distribution of the respondents by age groups according to their opinion about how the Hans Broges<br />
Gade`s design fulfilled the aesthetics aspect.<br />
Out of the Table 2.3.25, the SPSS calculated the Chi2 to be 20,745 with a degree of freedom (df) 15 and the missing<br />
values are 12. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT CONFLICT BETWEEN DIFFERENT TRANSPORT MODES<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 32 28 5 4 1 70<br />
FEMALE 48 25 9 1 2 85<br />
TOTAL 80 53 14 5 3 155<br />
Table 3.2.29: Distribution of the respondents by gender according to their opinion about how problematic is the conflict between different<br />
transport modes at Hans Broges Gade.<br />
Out of the Table 3.2.29, the SPSS calculated the Chi2 to be 5,243 with a degree of freedom (df) 4 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT ILLEGALLY PARKED BICYCLES<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 56 10 4 1 0 71<br />
FEMALE 71 11 1 1 1 85<br />
TOTAL 127 21 5 2 1 156<br />
Table 2.3.26: Distribution of the respondents by gender according to their opinion about how problematic illegal parking of bicycles is at Hans<br />
Broges Gade.<br />
Out of the Table 2.3.26, the SPSS calculated the Chi2 to be 3,390 with a degree of freedom (df) 4 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 5 3 1 0 0 9<br />
VOCATIONAL EDUC. 7 2 2 1 0 12<br />
HIGH SCHOOL 5 11 1 2 1 20<br />
SHORT HIGHER EDUC. 5 5 2 0 0 12<br />
MEDIUM HIGHER EDUC. 33 14 3 0 1 51<br />
LONG HIGHER EDUC. 27 19 5 2 1 54<br />
TOTAL 82 54 14 5 3 158<br />
Table 3.2.30: Distribution of the respondents by educational level according to their opinion about how problematic is the conflict between different<br />
transport modes at Hans Broges Gade.<br />
Out of the Table 3.2.30, the SPSS calculated the Chi2 to be 19,796 with a degree of freedom (df) 20 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 8 1 0 0 0 9<br />
VOCATIONAL EDUC. 7 4 0 0 1 12<br />
HIGH SCHOOL 18 2 0 0 0 20<br />
SHORT HIGHER EDUC. 9 2 1 0 0 12<br />
MEDIUM HIGHER EDUC. 39 8 3 1 0 51<br />
LONG HIGHER EDUC. 49 4 1 1 0 55<br />
TOTAL 130 21 5 2 1 159<br />
Table 2.3.27: Distribution of the respondents by educational level according to their opinion about how problematic illegal parking of bicycles is<br />
at Hans Broges Gade.<br />
Out of the Table 2.3.27, the SPSS calculated the Chi2 to be 24,403 with a degree of freedom (df) 20 and the missing<br />
values are 4. P is between 0,250 and 0,100. Therefore, the variables are independent<br />
TOTAL<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 5 5 2 1 0 13<br />
21-30 YEARS 28 14 5 1 1 49<br />
31-40 YEARS 10 16 2 1 2 31<br />
41-50 YEARS 15 7 2 0 0 24<br />
51-60 YEARS 12 4 2 2 0 20<br />
61-90 YEARS 11 5 1 0 0 17<br />
TOTAL 81 51 14 5 3 154<br />
Table 3.2.31: Distribution of the respondents by age groups according to their opinion about how problematic is the conflict between different<br />
transport modes at Hans Broges Gade.<br />
Out of the Table 3.2.31, the SPSS calculated the Chi2 to be 20,016 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 12 1 0 0 0 13<br />
21-30 YEARS 37 8 3 1 0 49<br />
31-40 YEARS 26 5 0 0 0 31<br />
41-50 YEARS 22 2 0 0 0 24<br />
51-60 YEARS 17 1 0 1 1 20<br />
61-90 YEARS 12 4 2 0 0 18<br />
TOTAL 126 21 5 2 1 155<br />
Table 2.3.28: Distribution of the respondents by age groups according to their opinion about how problematic illegal parking of bicycles is at<br />
Hans Broges Gade.<br />
Out of the Table 2.3.28, the SPSS calculated the Chi2 to be 22,356 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT OBSTACLES AGAINST CYCLISTS<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
TOTAL<br />
MALE 49 16 3 1 69<br />
FEMALE 60 19 4 2 85<br />
TOTAL 109 35 7 3 154<br />
Table 3.2.32: Distribution of the respondents by gender according to their opinion about how problematic is the<br />
existence of obstacles against the cyclists at Hans Broges Gade.<br />
Out of the Table 3.2.32, the SPSS calculated the Chi2 to be 0,183 with a degree of freedom (df) 3 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
102 103
NOT PROBLE- A BIT PROBLE-<br />
QUITE PROBLE-<br />
PROBLE-MATIC<br />
MATIC<br />
MATIC<br />
MATIC<br />
TOTAL<br />
PUBLIC SCHOOL 6 2 0 0 8<br />
VOCATIONAL EDUC. 7 5 0 0 12<br />
HIGH SCHOOL 15 2 1 2 20<br />
SHORT HIGHER EDUC. 7 4 1 0 12<br />
MEDIUM HIGHER EDUC. 38 9 4 0 51<br />
LONG HIGHER EDUC. 39 13 1 1 54<br />
TOTAL 112 35 7 3 157<br />
Table 3.2.33: Distribution of the respondents by educational level according to their opinion about how problematic is the<br />
existence of obstacles against the cyclists at Hans Broges Gade.<br />
Out of the Table 3.2.33, the SPSS calculated the Chi2 to be 17,207 with a degree of freedom (df) 15 and the missing<br />
values are 6. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC TOTAL<br />
01-20 YEARS 10 2 1 13<br />
21-30 YEARS 41 5 8 49<br />
31-40 YEARS 26 5 0 31<br />
41-50 YEARS 23 1 0 24<br />
51-60 YEARS 18 2 0 20<br />
61-90 YEARS 15 2 1 18<br />
TOTAL 133 17 5 155<br />
Table 3.2.37: Distribution of the respondents by age groups according to their opinion about<br />
how problematic is the pavement at Hans Broges Gade.<br />
Out of the Table 3.2.37, the SPSS calculated the Chi2 to be 7,335 with a degree of freedom (df) 10 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT CRACKS IN RAMPS AND INTERSECTIONS<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
TOTAL<br />
01-20 YEARS 9 3 0 1 13<br />
21-30 YEARS 30 12 5 1 48<br />
31-40 YEARS 24 5 1 1 31<br />
41-50 YEARS 20 3 1 0 24<br />
51-60 YEARS 15 5 0 0 20<br />
61-90 YEARS 10 7 0 0 17<br />
TOTAL 108 35 7 3 153<br />
Table 3.2.34: Distribution of the respondents by age groups according to their opinion about how problematic is the<br />
existence of obstacles against the cyclists at Hans Broges Gade.<br />
Out of the Table 3.2.34, the SPSS calculated the Chi2 to be 15,594 with a degree of freedom (df) 15 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
TOTAL<br />
MALE 57 9 3 2 71<br />
FEMALE 61 21 1 1 84<br />
TOTAL 118 30 4 3 155<br />
Table 3.2.38: Distribution of the respondents by gender according to their opinion about how problematic is the<br />
existence of cracks and ramps at Hans Broges Gade.<br />
Out of the Table 3.2.38, the SPSS calculated the Chi2 to be 5,215 with a degree of freedom (df) 3 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE PAVEMENT<br />
NOT<br />
A BIT<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC Total<br />
MALE 63 6 2 71<br />
FEMALE 71 11 3 85<br />
TOTAL 134 17 5 156<br />
Table 3.2.35: Distribution of the respondents by gender according to their opinion about how<br />
problematic is the pavement at Hans Broges Gade.<br />
Out of the Table 3.2.35, the SPSS calculated the Chi2 to be 0,899 with a degree of freedom (df) 2 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE- A BIT PROBLE-<br />
QUITE PROBLE-<br />
PROBLE-MATIC<br />
MATIC<br />
MATIC<br />
MATIC<br />
TOTAL<br />
PUBLIC SCHOOL 7 2 0 0 9<br />
VOCATIONAL EDUC. 9 2 0 0 11<br />
HIGH SCHOOL 16 2 1 1 20<br />
SHORT HIGHER EDUC. 10 2 0 0 12<br />
MEDIUM HIGHER EDUC. 36 13 1 1 51<br />
LONG HIGHER EDUC. 43 9 2 1 55<br />
TOTAL 121 30 4 3 158<br />
Table 3.2.39: Distribution of the respondents by educational level according to their opinion about how problematic is the<br />
existence of cracks and ramps at Hans Broges Gade.<br />
Out of the Table 3.2.39, the SPSS calculated the Chi2 to be 5,920 with a degree of freedom (df) 15 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE- A BIT PROBLE-<br />
MATIC<br />
MATIC<br />
PROBLE-MATIC TOTAL<br />
PUBLIC SCHOOL 7 2 0 9<br />
VOCATIONAL EDUC. 9 3 0 12<br />
HIGH SCHOOL 16 4 0 20<br />
SHORT HIGHER EDUC. 11 0 1 12<br />
MEDIUM HIGHER EDUC. 41 8 2 51<br />
LONG HIGHER EDUC. 53 0 2 55<br />
TOTAL 167 17 5 159<br />
Table 3.2.36: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the pavement at Hans Broges Gade.<br />
Out of the Table 3.2.36, the SPSS calculated the Chi2 to be 17,086 with a degree of freedom (df) 10 and the missing<br />
values are 4. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
TOTAL<br />
01-20 YEARS 12 1 0 0 13<br />
21-30 YEARS 31 13 4 1 49<br />
31-40 YEARS 25 5 0 1 31<br />
41-50 YEARS 22 2 0 0 24<br />
51-60 YEARS 15 4 0 0 19<br />
61-90 YEARS 13 4 0 1 18<br />
TOTAL 118 29 4 3 154<br />
Table 3.2.40: Distribution of the respondents by age groups according to their opinion about how problematic is the<br />
existence of cracks and ramps at Hans Broges Gade.<br />
Out of the Table 3.2.40, the SPSS calculated the Chi2 to be 17,602 with a degree of freedom (df) 15 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
104 105
SOCIO-DEMOGRAPHICS AND OPINION ABOUT AWARENESS OF PEDESTRIANS AND MOTORIZED VEHICLE<br />
DRIVERS FOR CYCLISTS<br />
NOT<br />
PROBLEMATIC<br />
A BIT<br />
PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE<br />
PROBLEMATIC<br />
MAJOR<br />
PROBLEM<br />
MALE 43 15 8 3 2 71<br />
FEMALE 54 27 3 0 0 84<br />
TOTAL 97 42 11 3 2 155<br />
Table 3.2.41: Distribution of the respondents by gender according to their opinion about how problematic is the lack of awareness of pedestrians<br />
and motorized vehicle drivers for people riding a bike at Hans Broges Gade.<br />
Out of the Table 3.2.41, the SPSS calculated the Chi2 to be 10,935 with a degree of freedom (df) 4 and the missing<br />
values are 8. P is between 0,050 and 0,025. Therefore, the variables are dependent.<br />
TOTAL<br />
NOT PROBLE- A BIT PROBLE-<br />
QUITE<br />
PROBLE-MATIC<br />
MATIC<br />
MATIC<br />
PROBLE-MATIC<br />
TOTAL<br />
PUBLIC SCHOOL 7 1 1 0 9<br />
VOCATIONAL EDUC. 10 2 0 0 12<br />
HIGH SCHOOL 15 4 1 0 20<br />
SHORT HIGHER EDUC. 10 2 0 0 12<br />
MEDIUM HIGHER EDUC. 40 10 1 0 51<br />
LONG HIGHER EDUC. 46 6 1 1 54<br />
TOTAL 128 25 4 1 158<br />
Table 3.2.45: Distribution of the respondents by educational level according to their opinion about how problematic is<br />
signposting and its interpretation at Hans Broges Gade.<br />
Out of the Table 3.2.45, the SPSS calculated the Chi2 to be 7,668 with a degree of freedom (df) 15 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 6 1 2 0 0 9<br />
VOCATIONAL EDUC. 7 4 1 0 0 12<br />
HIGH SCHOOL 12 5 2 1 0 20<br />
SHORT HIGHER EDUC. 5 7 0 0 0 12<br />
MEDIUM HIGHER EDUC. 35 11 4 0 1 51<br />
LONG HIGHER EDUC. 35 14 2 2 1 54<br />
TOTAL 100 42 11 3 2 158<br />
Table 3.2.42: Distribution of the respondents by educational level according to their opinion about how problematic is the lack of awareness of<br />
pedestrians and motorized vehicle drivers for people riding a bike at Hans Broges Gade.<br />
Out of the Table 3.2.42, the SPSS calculated the Chi2 to be 16,880 with a degree of freedom (df) 20 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT<br />
A BIT<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC TOTAL<br />
01-20 YEARS 9 4 0 13<br />
21-30 YEARS 38 7 3 48<br />
31-40 YEARS 24 6 1 31<br />
41-50 YEARS 22 2 0 24<br />
51-60 YEARS 17 3 0 20<br />
61-90 YEARS 15 3 0 18<br />
TOTAL 125 25 4 154<br />
Table 3.2.46: Distribution of the respondents by age groups according to their opinion about<br />
how problematic is signposting and its interpretation at Hans Broges Gade.<br />
Out of the Table 3.2.46, the SPSS calculated the Chi2 to be 8,041 with a degree of freedom (df) 10 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 8 4 1 0 0 13<br />
21-30 YEARS 33 9 5 1 0 48<br />
31-40 YEARS 19 7 2 1 2 31<br />
41-50 YEARS 13 11 0 0 0 24<br />
51-60 YEARS 13 5 1 1 0 20<br />
61-90 YEARS 11 5 2 0 0 18<br />
TOTAL 97 41 11 3 2 154<br />
Table 3.2.43: Distribution of the respondents by age groups according to their opinion about how problematic is the lack of awareness of<br />
pedestrians and motorized vehicle drivers for people riding a bike at Hans Broges Gade.<br />
Out of the Table 3.2.43, the SPSS calculated the Chi2 to be 18,552 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is between 0,250 and 0,100, but close to 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT SCENIC<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 33 23 11 3 1 71<br />
FEMALE 61 16 5 1 2 85<br />
TOTAL 94 39 16 4 3 156<br />
Table 3.2.47: Distribution of the respondents by gender according to their opinion about how problematic is the scenic at Hans Broges Gade.<br />
Out of the Table 3.2.47, the SPSS calculated the Chi2 to be 23,782 with a degree of freedom (df) 20 and the missing<br />
values are 4. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT SIGNPOSTING AND ITS INTERPRETATION<br />
NOT<br />
PROBLEMATIC<br />
A BIT<br />
PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE<br />
PROBLEMATIC<br />
MAJOR<br />
PROBLEM<br />
MALE 43 15 8 3 2 71<br />
FEMALE 54 27 3 0 0 84<br />
TOTAL 97 42 11 3 2 155<br />
Table 3.2.44: Distribution of the respondents by gender according to their opinion about how problematic is signposting and its interpretation at<br />
Hans Broges Gade.<br />
Out of the Table 3.2.44, the SPSS calculated the Chi2 to be 2,254 with a degree of freedom (df) 3 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 9 3 1 1 0 9<br />
VOCATIONAL EDUC. 9 3 0 0 0 12<br />
HIGH SCHOOL 14 3 2 0 1 20<br />
SHORT HIGHER EDUC. 12 0 0 0 0 12<br />
MEDIUM HIGHER EDUC. 31 15 4 1 0 51<br />
LONG HIGHER EDUC. 28 14 9 2 2 55<br />
TOTAL 97 39 16 4 3 159<br />
Table 3.2.48: Distribution of the respondents by educational level gender according to their opinion about how problematic is the scenic at Hans<br />
Broges Gade.<br />
Out of the Table 3.2.48, the SPSS calculated the Chi2 to be 23,782 with a degree of freedom (df) 20 and the missing<br />
values are 4. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
106 107
SOCIO-DEMOGRAPHICS AND OPINION ABOUT STREET DESIGN AS INFLUENTIAL FACTOR TO RIDE A BIKE<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 8 3 1 1 0 13<br />
21-30 YEARS 26 15 4 2 2 49<br />
31-40 YEARS 13 11 5 1 1 31<br />
41-50 YEARS 17 6 1 0 0 24<br />
51-60 YEARS 18 1 1 0 0 20<br />
61-90 YEARS 11 3 4 0 0 18<br />
TOTAL 93 39 16 4 3 155<br />
Table 3.2.49: Distribution of the respondents by age groups according to their opinion about how problematic is the scenic at Hans Broges<br />
Gade.<br />
Out of the Table 3.2.49, the SPSS calculated the Chi2 to be 22,717 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND BIKING MORE OFTEN AFTER HANS BROGES GADE`S OPENING<br />
YES NO TOTAL<br />
MALE 11 60 71<br />
FEMALE 9 76 85<br />
TOTAL 20 136 156<br />
Table 3.2.50: Distribution of the respondents by gender based on starting to ride a bike<br />
more often, or not, after the opening of Hans Broges Gade.<br />
Out of the Table 3.2.50, the SPSS calculated the Chi2 to be 0,833 with a degree of freedom (df) 1 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT AT ALL NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
MAN 11 18 17 21 4 71<br />
FEMALE 21 20 21 16 7 85<br />
TOTAL 32 38 38 37 11 156<br />
Table 3.2.53: Distribution of respondents by gender according to their opinion about the importance of street design (lightning, pavement material,<br />
greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.2.53, the SPSS calculated the Chi2 to be 3,920 with a degree of freedom (df) 4 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT AT ALL NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
PUBLIC SCHOOL 1 1 1 5 1 9<br />
VOCATIONAL EDUC. 2 2 5 1 2 12<br />
HIGH SCHOOL 4 8 4 4 0 20<br />
SHORT HIGHER EDUC. 2 5 2 1 2 12<br />
MEDIUM HIGHER<br />
EDUC.<br />
11 12 15 11 2 51<br />
LONG HIGHER EDUC. 12 11 12 16 4 55<br />
TOTAL 32 39 39 38 11 159<br />
Table 3.2.54: Distribution of respondents by educational level according to their opinion about the importance of street design (lightning, pavement<br />
material, greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.2.54, the SPSS calculated the Chi2 to be 21,349 with a degree of freedom (df) 20 and the missing<br />
values are 4. P is bigger than 0,250. Therefore, the variables are independent.<br />
YES NO TOTAL<br />
PUBLIC SCHOOL 2 7 9<br />
VOCATIONAL EDUC. 2 10 12<br />
HIGH SCHOOL 4 16 20<br />
SHORT HIGHER EDUC. 2 10 12<br />
MEDIUM HIGHER EDUC. 5 46 51<br />
LONG HIGHER EDUC. 6 49 55<br />
TOTAL 21 138 159<br />
Table 3.2.51: Distribution of the respondents by educational level based on starting to<br />
ride a bike more often, or not, after the opening of Hans Broges Gade.<br />
Out of the Table 3.2.51, the SPSS calculated the Chi2 to be 2,462 with a degree of freedom (df) 5 and the missing<br />
values are 4. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT AT ALL<br />
NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
01-20 YEARS 1 4 5 3 0 13<br />
21-30 YEARS 10 12 9 15 3 49<br />
31-40 YEARS 5 6 9 8 3 31<br />
41-50 YEARS 7 9 4 2 2 24<br />
51-60 YEARS 6 2 5 4 3 20<br />
61-90 YEARS 2 3 7 6 0 18<br />
TOTAL 31 36 39 38 11 155<br />
Table 3.2.55: Distribution of respondents by age groups according to their opinion about the importance of street design (lightning, pavement<br />
material, greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.2.55, the SPSS calculated the Chi2 to be 20,916 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent<br />
YES NO TOTAL<br />
01-20 YEARS 2 11 13<br />
21-30 YEARS 9 40 49<br />
31-40 YEARS 4 27 31<br />
41-50 YEARS 1 23 24<br />
51-60 YEARS 2 18 20<br />
61-90 YEARS 2 16 18<br />
TOTAL 20 135 155<br />
Table 3.2.52: Distribution of the respondents by age groups based on starting to ride<br />
a bike more often, or not, after the opening of Hans Broges Gade.<br />
Out of the Table 3.2.52, the SPSS calculated the Chi2 to be 3,204 with a degree of freedom (df) 5 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT HANS BROGES GADE`S DESIGN SOLUTION<br />
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 2 15 39 13 69<br />
FEMALE 1 28 34 22 85<br />
TOTAL 3 43 73 35 154<br />
Table 3.2.56: Distribution of respondents by gender according to their opinion about the street design solutions (lightning,<br />
pavement material, greenery, etc) used in Hans Broges Gade.<br />
Out of the Table 3.2.56, the SPSS calculated the Chi2 to be 5,315 with a degree of freedom (df) 3 and the missing<br />
values are 9. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
108 109
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 1 1 7 0 9<br />
VOCATIONAL EDUC. 0 1 7 4 12<br />
HIGH SCHOOL 0 8 10 2 20<br />
SHORT HIGHER EDUC. 0 2 6 4 12<br />
MEDIUM HIGHER EDUC. 1 16 21 12 50<br />
LONG HIGHER EDUC. 1 15 25 13 54<br />
TOTAL 3 43 76 35 157<br />
Table 3.2.57: Distribution of respondents by educational level according to their opinion about the street design solutions<br />
(lightning, pavement material, greenery, etc) used in Hans Broges Gade.<br />
Out of the Table 3.2.57, the SPSS calculated the Chi2 to be 16,504 with a degree of freedom (df) 15 and the missing<br />
values are 6. P is bigger than 0,250. Therefore, the variables are independent.<br />
BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 5 7 1 13<br />
21-30 YEARS 2 16 20 11 49<br />
31-40 YEARS 0 10 14 7 31<br />
41-50 YEARS 0 3 13 8 24<br />
51-60 YEARS 0 4 10 5 19<br />
61-90 YEARS 1 5 9 2 17<br />
TOTAL 3 43 73 34 153<br />
Table 3.2.58: Distribution of respondents by age groups according to their opinion about the street design solutions<br />
(lightning, pavement material, greenery, etc) used in Hans Broges Gade.<br />
Out of the Table 3.2.58, the SPSS calculated the Chi2 to be 12,224 with a degree of freedom (df) 15 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
Figure 3.2.71: Cyclist meter at Hans Broges Gade.<br />
110 111
3.3 CASE3<br />
BICYCLE BRIDGE BRYGGEBRO<br />
3.3.1 COPENHAGEN<br />
Copenhagen is the Danish national capital and the largest<br />
municipality of Denmark with a population of 503.699 inhabitants.<br />
The Copenhagen metropolitan area has a population<br />
of 1.901.789 inhabitants (Statistikbanken, 2010).<br />
The municipality is located in the islands of Zealand and<br />
Amager.<br />
Moreover, the amount of serious injuries against cyclists<br />
has now gone from 118 in year 2005 to 121 in year 2008.<br />
Finally, 51% of the cyclists were feeling confident and<br />
safe while riding their bikes in year 2008 (Copenhagen<br />
Municipality, 2009b).<br />
According to a traffic behaviour study conducted by Danish<br />
Technical University, 30% of all trips in Copenhagen<br />
are travelled on bike, 17% on foot, 16% in public transport<br />
and 30% in private cars (figure 3.3.2).<br />
DISTRIBUTION OF THE TRIPS BASED ON TRANSPORTATION MODES<br />
100%<br />
1%<br />
1%<br />
1%<br />
1%<br />
1%<br />
2%<br />
22%<br />
22% 18%<br />
17%<br />
17%<br />
16%<br />
80%<br />
25% 31% 37%<br />
28%<br />
31%<br />
30%<br />
60%<br />
COPENHAGEN<br />
40%<br />
30%<br />
26%<br />
27%<br />
29%<br />
30%<br />
30%<br />
20%<br />
22% 20% 22%<br />
25%<br />
21%<br />
22%<br />
0%<br />
Figure 3.3.1: Geographical location of Copenhagen.<br />
1998 2000 2002 2004 2006 2008<br />
OTHER PUBLIC TRANSPORT CAR BICYCLE PEDESTIAN<br />
MUNICIPALITY VISION<br />
Figure 3.3.2: Distribution of trips according to transportation mode within Copenhagen<br />
municipality from 1998 until 2008. Source: Copenhagen Municipality<br />
Copenhagen has a vision to become World`s Eco-metropolis<br />
in year 2015 (Copenhagen Municipality, 2009b)<br />
and a list of thirteen goals has been set up to achieve this<br />
objective.<br />
There are two goals directly related to cycling: to reduce<br />
carbon emissions by 20% from the amount emitted in<br />
2005 and to become the world`s best city for cyclists.<br />
In order to become the world`s best city for cyclists, the<br />
Copenhagen municipality defined three main objectives<br />
to be achieved before 2050: to have more than 50% of<br />
its population riding their bikes to go to work or to study,<br />
to improve the cyclists perception of safeness in the traffic<br />
and to decrease the number of injuries by half of the<br />
amount from 2007 (Copenhagen Municipality, 2009b).<br />
Currently, 37% of Copenhageners that are working or<br />
studying commute riding a bike (Copenhagen Municipality,<br />
2010b).<br />
Figure 3.3.3: Cover of the publication “city of cyclists” with general information about cycling in Copenhagen, history and targets for the future.<br />
Source: Copenhagen Municipality.<br />
112 113
To improve the overall air quality of Copenhagen, a new<br />
law established Copenhagen as Environmental Zone. In<br />
2008, the first step was took when the core of the city of<br />
Copenhagen and the municipality of Frederiksberg were<br />
defined as an Environmental Zone. In 2009, the Environmental<br />
Zone was extended to the entire Copenhagen municipality.<br />
The <strong>Bike</strong> Secretary coordinates all the bicycle campaigns<br />
developed by Copenhagen Municipality. The <strong>Bike</strong> Secretary<br />
is part of the Centre for Traffic which is under the<br />
Technical and Environmental Department of Copenhagen<br />
Municipality.<br />
To improve the discussions between the government and<br />
cyclists, there is a virtual community – www.ibikecph.dk –<br />
that functions as an arena to debate cycling in Copenhagen.<br />
Moreover, cyclists are asked to report any problems<br />
related to bike infrastructures – holes, cracks, etc. – and<br />
also to bring up suggestions about how to improve cycling<br />
conditions in Copenhagen.<br />
23,966 residents of Copenhagen municipality participated<br />
in the national campaign “We bike to work”. Copenhagen<br />
municipality was the one with most participants and most<br />
cycled average kilometres per participant.<br />
In both Summer 2009 and Spring 2010, a campaign<br />
against bike robbery took place in Copenhagen municipality.<br />
5300 tracking chips were handed out, making possible<br />
to track stolen bicycles. Parking guards equipped<br />
with special scanners had registered 250 chipped bicycles<br />
of which two had been reported stolen.<br />
Copenhagen Municipality has also recently created a<br />
board of two hundred children from six different schools<br />
named Children´s Traffic Council. The board has been<br />
created to hear bicycle ideas and problems from children’s<br />
perspective. The board had their first top meeting<br />
on September 22nd 2010 where major problems were<br />
discussed and ideas were proposed for the Technical and<br />
Environmental Secretary of Copenhagen.<br />
In a study conducted by Copenhagen Municipality about<br />
safety when riding a bike, 43% of the respondents reported<br />
to feel unsafe because of other cyclists. In that context,<br />
Copenhagen Municipality and the Danish Cyclists Society<br />
made a campaign to address this problematic in September<br />
2010. The campaign was based in two ideas: “to<br />
improve karma among cyclists” and “to think more about<br />
others when cycling”. A series of events took place from<br />
September 6th till September 12th 2010 – open-air theatre,<br />
lounge music in the streets, free apples and water<br />
for cyclists and guided cycle-trip.<br />
Figure 3.3.4: Logo of the campaign Ibikecph.<br />
Source: Copenhagen Municipality<br />
Figure 3.3.5: Cyclists and pedestrians crossing Bryggebro bike bridge.<br />
114 115
LANGEBRO<br />
BICYCLE NETWORK<br />
Copenhagen municipality has 340 kilometres of bicycle<br />
tracks, 20 kilometres of bicycle lanes and 40 kilometres<br />
of green bicycle routes. At total of 503.699 inhabitants,<br />
Copenhagen has 0,8 meters of bicycle track, lane or trail<br />
per inhabitant.<br />
Bryggebro is part of the University corridor – <strong>Universitet</strong>sruten<br />
– which is one of main corridors of the Copenhagen<br />
network of bicycles and footpaths.<br />
The University corridor links the two sides of the Copenhagen<br />
harbour. It provides a shortcut for students travelling<br />
from Vesterbro to Amager where Copenhagen University<br />
campuses and the IT University in Ørestad are located. It<br />
also provides a fast connection for Amager residents to<br />
shopping facilities and the S-trains and for residents from<br />
Vesterbro to access green areas like Amager Park and<br />
Islands Brygge waterfront (CPHX 2009).<br />
KNIPPELSBRO<br />
Utterslevruten<br />
S<br />
Det gr nne cykelrutenet 2009<br />
Realiserede og planlagte ruter<br />
Ryvangsruten<br />
S<br />
realiserede ruter og ruter<br />
under anlÊg<br />
cykelmulighed langs S erne<br />
BRYGGEBRO<br />
S<br />
Vestvoldruten<br />
S<br />
Frederiksbergruten<br />
Hareskovruten<br />
S<br />
S<br />
S<br />
S<br />
Svanemølleruten<br />
S<br />
planlagte ruter<br />
alternativ linief ring<br />
ruter udenfor kommunen<br />
cykelforbindelser til Regionen<br />
N<br />
kommunegrÊnse<br />
0 500m 1.000m<br />
TEKNIK- OG MILJÿFO RVALTNINGEN<br />
D. 20.05.10<br />
Nørrebroruten<br />
S<br />
S<br />
n<br />
Grø dalsruten<br />
S<br />
S<br />
S<br />
Søruten<br />
S<br />
S<br />
Refshaleruten<br />
Christiansh avnruten<br />
Vigerslevruten<br />
S<br />
S<br />
S<br />
S<br />
S<br />
S<br />
Carlsbergruten<br />
S<br />
S<br />
S<br />
Havneruten<br />
Amagerruten<br />
S<br />
Valbyruten<br />
<strong>Universitet</strong>sruten<br />
S<br />
S<br />
S<br />
S<br />
Kastrup Fort ruten<br />
Hvidovreruten<br />
Lufthavnsruten<br />
Ørestadsruten<br />
Kalvebodruten<br />
SJÆLLANDSBRO<br />
Figure 3.3.6: Copenhagen Bicycle Network. Source: Copenhagen Municipality.<br />
Figure 3.3.7: The four bridges of Copenhagen Harbour. Modified from original picture from Google Earth<br />
116 117<br />
N
3.3.2 BRYGGEBRO<br />
In 2006, it was inaugurated the first exclusively dedicated<br />
pedestrian and cyclist bridge of Copenhagen: Bryggebro.<br />
Bryggebro is a 190 meter long, six and a half meters wide,<br />
swing bridge connecting Kalvebod Brygge over Havneholmen<br />
to Islands Brygge (CPHX, 2009 and Grontmij-<br />
Carlbro, 2010).<br />
Bryggebro links the two sides of Copenhagen Harbor<br />
and complements the other three connections across the<br />
Copenhagen harbour. Differently from the other connections,<br />
Bryggebro is exclusively dedicated for cyclists and<br />
pedestrians. On the north direction, there is Langebro – 1<br />
kilometer from Bryggebro – and Knippelsbro – 2 kilometers<br />
from Bryggebro. On the south direction, there is Sjællandsbroen<br />
which is 3 kilometers distant from Bryggebro<br />
(Figure 3.3.7).<br />
When inaugurating Bryggebro, the politician Klaus Bondam<br />
mentioned:<br />
“To bridge the gap between the two wharfs is much more<br />
than the tangible construction, we use the term “to bridge<br />
the gap between” in many connections. To bridge a gap<br />
equals cooperation and dialogue, it equals overcoming<br />
gaps and obstacles – it is often about creating closeness<br />
and understanding between people…. It is my hope, that<br />
this new connection will give rise to new initiatives and<br />
that cooperation will occur – that this will also be a symbolic<br />
bridge between the two areas.”<br />
In 2000, Carl Bro and Sjælsø Group presented to the<br />
Copenhagen municipality a proposal to build up a bike<br />
bridge – named Bryggebro – at the Copenhagen harbour.<br />
Copenhagen municipality accepted the proposal and the<br />
project was then developed (Grontmij- Carlbro, 2010).<br />
Bryggebro was designed by the architect office<br />
DISSING+WEITLING which won for this project the<br />
”Foreningen til hovedstadens forskønnelse” award 2006<br />
(Dissing+Weitling, 2010).<br />
Carl Bro functioned as consulting engineer for Copenhagen<br />
municipality and developed the technical drawings<br />
and carried the management and supervision of the construction<br />
(Grontmij- Carlbro, 2010).<br />
The construction started in 2005 and was completed in<br />
September 2006. Bryggebro was officially opened on the<br />
14th of September 2006. However, construction sites in<br />
the bridge surroundings and temporary accesses to the<br />
bridge were present until 2009 (Copenhagen Municipality,<br />
2010c).<br />
BEFORE AND AFTER<br />
The construction of Bryggebro improved the accessibility<br />
between the two sides of Copenhagen Harbor.<br />
THE COSTS OF BRYGGEBRO<br />
The total amount spent with the construction of Bryggebro<br />
was 47.600.000 Danish krones.<br />
The maintenance costs are expected to be 1.5% of the<br />
construction costs after 25 years of the opening. Until<br />
2031, the maintenance costs are expected to rise every<br />
year 1/25 of 1,5% of the total cost of the bridge.<br />
In addition, the operational costs of lighting, cleaning,<br />
anti graffiti, inspection of machinery are estimated to be<br />
300.000 Danish crowns per year (COWI, 2010 and CPHX<br />
2009).<br />
Figure 3.3.8: Bryggebro opening on the 14th of September. Source: Copenhagen Municipality.<br />
Figure 3.3.9: Image of Bryggebro from Islands Brygge side of the harbor.<br />
118 119
DESIGN CHARACTERISTIC AND<br />
STREETSCAPE<br />
DESIGN CONCEPT<br />
Bryggebroen has an iconic character and functions as a<br />
landmark in the landscape. It is a 190 meter long by six<br />
and a half meters wide swing bridge connecting Kalvebod<br />
Brygge over Havneholmen to Islands Brygge (CPHX<br />
2010, Grontmij- Carlbro, 2010). It is the first bridge built<br />
in Copenhagen Harbour in 50 years and the first bridge<br />
ever built in Copenhagen reserved solely for cyclists and<br />
pedestrians.<br />
The bridge is divided equally between cyclists and pedestrians<br />
connecting workers and students travelling from the<br />
west part of the city to the Amager based side of Copenhagen.<br />
It has now made a statement in the area and has<br />
become an iconic bridge within the neighbourhood.<br />
Figure 3.310: View of Havneholmen from Bryggebro.<br />
Figure 3.3.12: View of Bryggebro from Island Brygge to the Havneholmen side.<br />
Figure 3.3.11: Access to Bryggebro from Havneholmen.<br />
Figure 3.3.13: Havneholmen and Bryggebro in the background.<br />
Figure 3.3.14: Bryggebro in the foreground and Islands Brygge in the background.<br />
120 121
TECHNICAL DRAWINGS<br />
189448<br />
Figure 3.3.15: Plan and Section of Bryggebro. Source: Copenhagen Municipality.<br />
Figure 3.3.16: Elevation of the bridge seen from the side and cross section of the bridge. The pedestrian side on the left and cyclist on the right separated by a 60cm high 1.2<br />
metres wide girder. Source: Copenhagen Municipality.<br />
122 123
SURFACE AND FLOW STRUCTURE<br />
PAVEMENT<br />
The flow of cyclists and pedestrians at Bryggebro is going<br />
in both directions on either side of the bridge and at either<br />
ends of the bridge. Looking at a section of the bridge it is<br />
divided into three spaces. Beginning from the left there is<br />
a two way pedestrian path going in both directions, alongside<br />
this is an 80 centimetre high concrete girder that<br />
separates the two-directional cycling path from the walking<br />
path without obstructing eye contact between passing<br />
pedestrians and cyclists (Figures 3.3.17 and 3.3.18).<br />
PEDESTRIAN PATH<br />
BIKE PATH<br />
The bridge itself is a combination of concrete, steel and<br />
asphalt. The colour of the cyclist and walking path is black<br />
asphalt which appears to be a light grey colour. The middle<br />
concrete girder and steel handrails are a very similar<br />
shade of grey. At one end of the exits the asphalt path<br />
meets a large granite paved rectangular area (Figure<br />
3.3.19 and 3.3.20). At the other end the bridge meets a<br />
large granite paved footpath (Figure 3.3.22 and 3.3.23).<br />
To guide the cyclists in the correct lane a white dashed<br />
line has been placed down the centre of the path. Upon<br />
entering the bridge there are some metal path guides<br />
screwed into the concrete paving directing cyclists into<br />
the correct path.<br />
Figure 3.3.19: Access to Bryggebro from Islands Brygge.<br />
Figure 3.3.22: Access to Bryggebro from Havenholmen<br />
Along the Islands Brygge side of the bridge there is a<br />
cobble stone road where everyone tends to ride along<br />
the smooth paved lanes to avoid the slow and rough ride<br />
along the cobblestones. This creates and defines a good<br />
separation between the walkers and the cyclists (Figure<br />
3.3.21).<br />
N<br />
ISLANDS BRYGGE<br />
RECTANGULAR GRANITE<br />
AREA<br />
The surface on the bridge and on the entry and exits is in<br />
a good condition and there is no cracks or potholes which<br />
means that it is safe for cyclists and pedestrians to use.<br />
However when it rains the cobblestones and plastic path<br />
guides would become slippery for cyclists and possibly<br />
cause accidents.<br />
WALKNG PATH<br />
CYCLIST PATH<br />
SMOOTH PAVED LINES<br />
HAND RAIL<br />
Figure 3.3.17: Bryggebro section.<br />
CONCRETE<br />
GIRDER<br />
Figure 3.3.20: Access to Bryggebro from Islands Brygge side.<br />
COBBLE STONES<br />
HAVNEHOLMEN<br />
6.5 m<br />
N<br />
CONCRETE<br />
GIRDER<br />
HAND RAIL<br />
ISLANDS BRYGGE<br />
WALKING PATH<br />
CYCLIST PATH<br />
190 m<br />
Figure 3.3.21: Islands Brygge promenade<br />
Figure 3.3.18: Bryggebro plan.<br />
124 125
HIERARCHY OF USERS<br />
VELOCITIES<br />
The users on the bridge have equal priority for crossing<br />
the bridge. However the cyclists have slightly more space<br />
which they require to ride comfortably opposite each other<br />
(Figure 3.3.24).<br />
The cyclists also demand more space at each end of the<br />
bridge as they are consistently swooping in and out of the<br />
bridge at high speeds whilst navigating around pedestrians.<br />
This can cause some conflicts and clashing between<br />
pedestrians and cyclists (Figure 3.3.25).<br />
The bridge has high and low peaks of traffic during the<br />
day. Peak hours where the bridge is most populated is<br />
in the morning from 7am to 10am when people are on<br />
their way to work or school (Figure 3.3.26). Other peak<br />
hour times are in the afternoon/evening from 4pm till<br />
7pm when people are on their way home from work and<br />
school. During these times it is more difficult for the cyclists<br />
to go very fast as the bridge is crowded. However<br />
during off peak times cyclists can go faster as there is less<br />
traffic, these times are from 10am till 3pm, 7pm till 7am<br />
and on the weekends (Figure 3.3.27).<br />
PEDESTRIANS<br />
CYCLISTS<br />
Some problems can arise when exiting the bridge onto<br />
the Islands Brygge side. The bridge becomes quite steep<br />
allowing cyclists to gain a lot of speed making exiting the<br />
bridge somewhat unsafe. This becomes a problem as<br />
they then have to make a sharp turn left or right into an<br />
on coming traffic of pedestrians and cyclists entering the<br />
bridge. Pedestrians walking do not present any problems<br />
to the infrastructure as they are moving slowly but they<br />
do have to pay a lot of attention of fast moving cyclists at<br />
each exit as do pedestrians running (Figure 3.3.28).<br />
Figure 3.3.26: Joggers and cyclists crossing.<br />
Figure 3.3.24: Hierarchy between transport modes.<br />
HAVNEHOLMEN<br />
ISLANDS BRYGGE<br />
N<br />
Figure 3.3.27: Cyclists riding fast out of the exit of the bridge.<br />
CLASHING AREA BETWEEN CYCLISTS AND<br />
PEDESTRIANS<br />
Figure 3.3.25: Bryggebro plan and representation of transport mode conflicts.<br />
EVEN AREA<br />
CLASHING AREA BETWEEN CYCLISTS AND<br />
PEDESTRIANS<br />
Figure 3.3.28: Walkers have to pay attention from fast moving cyclists exiting.<br />
126 127
PARKING<br />
There is no illegally parked bikes at Bryggebro. However,<br />
they can be found in the surrounding area (Figures 3.3.29<br />
and 3.3.30).<br />
STREET FURNITURE<br />
There are no benches or planters on the bridge. Close to<br />
the exits of the bridge bins can be found.<br />
STREET LIGHTS<br />
To avoid people feeling unsafe when crossing the bridge<br />
at night the bridge is lit up on the paths of the bridge as<br />
well as on the bottom of the bridge, guiding cyclists and<br />
pedestrians across the bridge in the safest manner possible<br />
(Figure 3.3.31 and 3.3.32). The bridges central spine,<br />
the girder down the middle, is illuminated by light fixtures<br />
incorporated into each of the hand railings. The built in<br />
light in the handrail was chosen as opposed to light poles<br />
or posts in order to provide an unobtrusive, hidden illumination<br />
source. Besides the white light illuminating the top<br />
of the bridge there is a coloured light scheme beneath<br />
the bridge.<br />
In the lead up to the bridge along the side of the cobblestone<br />
road there are also lamp posts guiding you to the<br />
bridge (Figure 3.3.33). Lighting up the bridge not only creates<br />
a safe environment for users but also looks pretty<br />
glowing and reflecting across the water. The bridge is not<br />
lit up at the exits, which could prove to be dangerous for<br />
some night users (Figure 3.3.34).<br />
Figure 3.3.29: A stray bike parked nearby the bridge.<br />
Figure 3.3.31: Bryggebro illumination.<br />
Figure 3.3.33: Lamp posts.<br />
Figure 3.3.30: <strong>Bike</strong>s parked under stairs.<br />
Figure 3.3.32: Bryggebro illumination.<br />
Figure 3.3.34: Bridge exit in the night.<br />
128 129
SIGNAGE<br />
There is signage on both sides of the bridge indicating<br />
where the walkers path entrance is and where the cyclists<br />
entrance path is, although both utilise good and bad approaches<br />
to this communication.<br />
On the Islands Brygge side there is one sign in the middle<br />
indicating that cyclists enter to the left of the sign (Figure<br />
3.3.35). On the same side of the bridge to the right there<br />
is a sign indicating that walker’s enter the bridge to the<br />
left of the sign (Figure 3.3.36). This can appear somewhat<br />
confusing to some pedestrians and cyclists as you can<br />
see in Figure 3.3.35, where a cyclist has taken the wrong<br />
path and has had to turn backwards to the correct path.<br />
PUBLIC ART OR OTHER UNIQUE<br />
FEATURES<br />
Graffiti can also be found along the bridge, however it<br />
seems to be more of an eye sore than adding character<br />
to the bridge (Figure 3.3.39 and 3.3.40).<br />
However the Havneholmen side of the bridge utilises a<br />
good example of signage, placing the cyclist and walker<br />
signs either side of the bridge clearly indicating and defining<br />
the entrances. (Figure 3.3.37). These signs also require<br />
maintenance, as they are often damaged through<br />
graffiti as you can see in Figure 3.3.38 where the arrow<br />
has been sprayed over.<br />
Figure 3.3.36: Access from Islands Brygge side.<br />
Figure 3.3.39: Graffiti at Bryggebro.<br />
Figure 3.3.37: Bryggebro access from Havneholmen.<br />
Figure 3.3.35: Cyclist has wrongly entered into the pedestrian lane.<br />
Figure 3.3.38: Damaged sign.<br />
Figure 3.3.40: Graffiti at Bryggebro.<br />
130 131
Love padlocks are a custom by which sweethearts affix<br />
padlocks to a fence or similar public fixture to symbolise<br />
their love. The most common place of love padlocks<br />
are on the railings of the bridges. It is suggested that the<br />
custom of 'locking a padlock and throwing away the key'<br />
probably originated in China. Many can be seen along<br />
Bryggebro giving the bridge some cultural and artistic<br />
character.<br />
Figure 3.3.41: Love padlocks<br />
Figure 3.3.43: Love padlocks<br />
Figure 3.3.42: Love padlocks<br />
Figure 3.3.44: Love padlocks<br />
Figure 3.3.45: Love padlocks.<br />
132 133
CROSSINGS, INTERSECTIONS<br />
The main intersections and crossings occur at the either<br />
end of the bridge where the bridge meets the rectangular<br />
granite landing which borders a cobblestone road<br />
or a granite tiled surface. The intersections function as<br />
shared-use spaces. The solution brings conflicts between<br />
cyclists and pedestrians. The conflicts are mostly caused<br />
by the higher speed of cyclists when approaching the<br />
shared -use area.<br />
ACCESSIBILITY<br />
The majority of the problems experienced were in the<br />
accessibility of driving to the bridge and entering it. As<br />
slow moving pedestrians mixed with fast moving cyclists<br />
could create conflicts at the entry and exits (Figure 3.3.48,<br />
3.3.49, 3.3.50).<br />
The entry point of the bridge on both sides is made as a<br />
shared space. The shared spaces include multiple directions<br />
for cyclists and pedestrians (figures from file). The<br />
bridge has been built to let small boats, canoes and the<br />
harbour ferries pass underneath it. This creates a need<br />
for free height underneath the bridge and this has been<br />
resolved by creating a rise from both sides towards the<br />
middle of the bridges. This makes people exiting the<br />
bridge in both directions drive in high speeds from a dedicated<br />
bike lane into the shared spaces at the end of both<br />
sides of the bridge.<br />
This creates situations where cyclists have to react quite<br />
quickly to avoid collisions with other drivers, and makes<br />
pedestrians vunerable to enter and exit the bridge.<br />
Figure 3.3.48: Bryggebro’s access at Islands Brygge side.<br />
Figure 3.3.46: Intersection at Islands Brygge.<br />
Figure 3.3.47: Intersection at Havneholmen<br />
The landing on the Amager side is a shared space on<br />
a field of approximately 7x14 meters paved with granite<br />
tiles. Because of its relatively small size people makes<br />
their turn towards their new direction within the field. Two<br />
directions of dedicated bicycle path on the bridge spreads<br />
to four directions on the small shared space landing. This<br />
creates crossing of cyclists with no indication of where to<br />
drive. On top of that there is a layer of pedestrians entering<br />
and leaving the bridge and strolling along the recreational<br />
grounds of Islands Brygge.<br />
Further than avoiding collisions with other cyclists and pedestrians,<br />
the cyclists also have to read the sign of where<br />
to drive. The signs are not oriented towards the cyclists<br />
from their entrance paths on the Amager side. They are<br />
oriented out in direction of the shared space. When cyclists<br />
has to do a 90 degree turn in only a few meters<br />
while still observing other cyclists, it can be hard to read<br />
the signs at the same time. For most it was not a problem,<br />
probably as a result of having used the facility before,<br />
but for some it resulted in choosing the wrong side of the<br />
bridge and having to drive back.<br />
Figure 3.3.49: Bryggebro’s access at Islands Brygge side.<br />
Figure 3.3.50: Bryggebro’s acces at Islands Brygge side.<br />
134 135
There is a connection between the shared space landing<br />
at the end of the bridge and surrounding bicycle network<br />
in the promenade paved with cobblestone. Two narrow<br />
paths has been inserted into the cobble stone to make it<br />
more accessible for cyclists, but these paths were probably<br />
not designed to handle the amount of flow over bridge.<br />
The cobble stone pavement limits cycling to the two<br />
paved lanes. These two tracks are shared between cyclists,<br />
people with crafts, woman in high heels, disabled<br />
people and the elderly with walkers. Furthermore they<br />
are placed very close to one another making it difficult to<br />
share a path together (Figure 3.3.51).<br />
Cyclists trying to overtake other cyclists on these paths<br />
are forced onto the cobblestones, this creates a bumpy<br />
ride and whilst observing quite a few chains fell off bikes.<br />
When leaving the two narrow paths to enter the connected<br />
bicycle networks, the most commonly used route<br />
is to cross a privately owned parking lot. The parking lot<br />
is paved with gravel stone (Figure 3.3.53). A temporary<br />
asphalt path has been constructed in the middle of the<br />
parking lot to increase the accessibility. People tend to<br />
drive the shortest way across the gravel stone parking<br />
lot when they are leaving from the bridge, while people<br />
approaching the bridge tend to use the asphalt path. That<br />
makes good sense, as the asphalt path is connected to<br />
the bicycle tracks in the facing street.<br />
Figure 3.3.51: Cyclists on the smooth paved lanes.<br />
Figure 3.3.52: Pavement detail fron Islands Brygge side.<br />
When entering the side of Havneholmen there is a choice<br />
of two routes to go on from (Figure 3.3.54 and 3.3.55). A<br />
route around Fisketorvet shopping center on a municipal<br />
road and a route passing by in front of it in private land. A<br />
lot of people are using the road in front of Fisketorvet as<br />
a shortcut through the site even though the path brings a<br />
series of obstacles. The shortcut is paved with stones and<br />
shared with pedestrians. On the way it has two 90-degree<br />
turns. With no directions or marked roadways, the cyclists<br />
have to be careful not to collide with other cyclists or pedestrians.<br />
The shortcut ends in a staircase connecting Havneholmen<br />
to Dybbølsbro (Figure 3.3.54). In a counting conducted on<br />
the municipality of Copenhagen on Monday September<br />
7th of September 2009 they found that 3208 would drag<br />
their bicycles up and down the stairs. The study does not<br />
include how many of these people actually travel over the<br />
bridge, but we assume that this was the purpose for the<br />
majority of the bikers based on our observations.<br />
The other route around Fisketorvet is around 800 metres<br />
long compared to the shortcuts around 300 metres (Figure<br />
3.3.55). That is approximately 2 minutes extra when<br />
travelling at 16km/h, but this is relative as the cyclist has<br />
to ride up a 250 metre slope to reach same destination<br />
as you would reach when using the stairs. This physical<br />
challenge could be the reason why so many are willing<br />
to step off their bikes and drag them up the stairs (Figure<br />
3.3.54 and 3.3.55).<br />
Figure 3.3.54: <strong>Bike</strong> route linking to the staircases.<br />
Figure 3.3.55: Longer bike route avoiding staircases.<br />
For people traveling in southern direction this route easy<br />
to use, but for people traveling the same destinations that<br />
the shortcut is fitted for it makes. The route is on proper<br />
road with asphalt pavement. It has green grass and trees<br />
under way and great view conditions. The road is constructed<br />
to be a distribution road for buildings in Havneholmen.<br />
Cargo bikes are forced to take this route, as they<br />
are not suited for dragging up and down stairs (Figure<br />
3.3.57 and 3.3.58).<br />
Figure 3.3.53: Privately owned parking lot.<br />
136 137
On the Havneholmen side of the bridge there is a granite<br />
tiled area in front of a cooperate headquarters. The<br />
area is privately owned with the entrance to the bridge<br />
being privately funded (Figure 3.3.56). This solution could<br />
indicate that a higher emphasis has been set on aesthetics<br />
for its own headquarter than on creating good bicycle<br />
conditions.<br />
The bicycle path indicates that there is only one way out<br />
of the area one leading to the commercial co financer of<br />
the bridge and the shopping center Fisketorvet. People<br />
driving to the road around Fisketorvet has to cross this<br />
main flow with no indication of direction marked or entrance<br />
points.<br />
Figure 3.3.56: Bryggebro entering from the Havneholmen side.<br />
BUILT ENVIRONMENT AND USES<br />
The surrounding areas of Bryggebro includes a mixture of<br />
residential and commercial buildings. The Islands Brygge<br />
mostly residential side comprises of mostly urban living<br />
with some commercial buildings. However the Havneholmen<br />
side is residential and commercial comprising<br />
of mostly commercial buildings and Dybbølsbro which is<br />
one of the main train stations in the core of the city (Figure<br />
3.3.59).<br />
Figure 3.3.57: Foot bridge to make the trip shorter.<br />
Figure 3.3.58: Cyclists pushing their bikes up the stairs.<br />
Figure 3.3.59: Built environment surrounding Bryggebro on the Islands Brygge side.<br />
138 139
Total number of cyclists in a day in September from 2006 to 2010<br />
8000<br />
6000<br />
Total number of cyclists per hour in a day in September from 2006 to 2010<br />
2006<br />
2007<br />
1200<br />
2008<br />
2009<br />
2010<br />
1000<br />
800<br />
4000<br />
600<br />
CYCLIST COUNTINGS<br />
NUMBER OF CYCLISTS<br />
1200<br />
2000<br />
2006 2007 2008 2009 2010<br />
400<br />
200<br />
6-7<br />
7-8<br />
8-9 9-10 11-12<br />
10-11 12-13 13-14 14-15 15-16 16-17 17-18 18-19<br />
1000<br />
800<br />
600<br />
400<br />
200<br />
0<br />
7-8<br />
8-9<br />
9-10 10-11 11-12<br />
12-13<br />
13-14 14-15 15-16 16-17<br />
17-18 18-19<br />
HOURS<br />
7-8<br />
8-9<br />
13-14<br />
700 bikes 1190 bikes 350 bikes<br />
16-17<br />
18-19<br />
1150 bikes 500 bikes<br />
Figure 3.3.60: Cyclist countings. Source: Copenhagen Municipality.<br />
140 141
THE WEB SURVEY<br />
The web survey analysis is divided in four sections. Firstly,<br />
main findings are presented. The second section describes<br />
the spatial distribution of the residential location<br />
of the respondents. Thirdly, a descriptive statistic to analyze<br />
all the answers. In search of finding relationships between<br />
socio-demographic variables and the web survey<br />
answers, the last section presents a statistical analysis<br />
using the Chi2 test.<br />
A total of 290 individuals that were riding a bike at Bryggebro<br />
on the 1st of September answered the questionnaire<br />
in the period between September 1st and October 31st.<br />
Based on the count done in Copenhagen municipality in<br />
September 2009, there are an average of 7352 bicycle<br />
trips at Bryggebro from 7am until 7pm from both directions<br />
on weekdays. Estimating that 35% of these cyclists<br />
ride their bikes at least once per day in the infrastructure,<br />
it was stipulated that a total of 4778 individuals ride a bike<br />
at Bryggebro per day.<br />
A total of 3020 flyers were distributed to individuals riding<br />
their bikes in the infrastructure from 7am until 7pm and<br />
from these a total of 290 answered the questionnaire.<br />
Based on these figures, the respondents represents<br />
6,06% of the total of individuals riding a bike per day in<br />
the infrastructure and 9,60% of individuals that collected<br />
the flyer on September 1st whilst riding a bike in the infrastructure.<br />
MAIN FINDINGS<br />
In conclusion the data from the survey reveals a picture of<br />
Bryggebro as a piece of infrastructure used by the majority<br />
of the cyclists for commuting to work (69%) and to study<br />
(8%). However, the main purpose of the trips from the left<br />
23% is very diverse (19% shopping, 3% recreational, 6%<br />
visiting family and friends and 4% others). The figures are<br />
directly connected to the built environment were the infrastructure<br />
is located – a main streets in a residential based<br />
neighborhood next to the city core.<br />
After the Chi2 test was applied, the results highlight that<br />
most of the answers do not have a relation with socio-demographic<br />
conditions. However, some representative relations<br />
between the independent variables – gender, age<br />
and educational level – and the questionnaire answers<br />
were identified.<br />
There is a relation between the main trip purpose when<br />
riding a bike at Bryggebro and age and educational level.<br />
The impact of the opening of Bryggebro in the individuals<br />
decision to ride a bike more often has also a relation<br />
educational level. Finally, educational level also seems to<br />
have a relation with the individuals` answers on regards<br />
their opinion about conflicts between the different transportation<br />
modes in the infrastructure.<br />
Finally, there is a relation between gender and individuals`s<br />
opinion about the lack of awareness of pedestrians for cyclists<br />
in the infrastructure.<br />
The following section provides the actual data for each of<br />
the questions asked.<br />
RESIDENTIAL LOCATION OF<br />
RESPONDENTS<br />
The residential addresses of the respondents – individuals<br />
riding a bike at Bryggebro on September 1 – were<br />
registered and geo-referenced in order to produce a map<br />
(see Figures 3.3.60 and 3.3.61). According to the Table<br />
3.3.1, the majority of the respondents (59,7%) live within<br />
a radius of 2 kilometres and 90% of them living within 5<br />
kilometres distance from the infrastructure.<br />
Respondents living more than 5 kilometers from the infrastructure<br />
correspond to 10% of the total and from this<br />
amount 30% are living more than 10 kilometres away of<br />
the infrastructure.<br />
0-1 KM 1-2 KM 2-3 KM 3-4 KM 4-5 KM 5-10 KM 10-15 15-20 20 KM<<br />
KM KM<br />
NO. DWELLINGS 95 78 43 29 16 19 5 4 1<br />
% DWELLINGS 32,8% 26,9% 14,8% 10,0% 5,5% 6,6% 1,7% 1,4% 0,3%<br />
Table 3.3.1: Absolute and percentage distribution of respondents according to the distance of their residential location from Bryggebro.<br />
142 143
10 km<br />
30 km<br />
5 km<br />
20 km<br />
4 km<br />
15 km<br />
3 km<br />
10 km<br />
2 km<br />
1 km<br />
5 km<br />
N<br />
N<br />
Figure 3.3.61: Spatial distribution of the respondents according to their residential location – 5km map.<br />
Figure 3.3.62: Spatial distribution of the respondents according to their residential location – 20km<br />
144 145
DESCRIPTIVE STATISTICS<br />
AGE<br />
35%<br />
AGE<br />
EDUCATION LEVEL<br />
50%<br />
EDUCATION LEVEL<br />
HOW OFTEN DO YOU GO ON BRYGGEBROEN WITHOUT<br />
WALKING AT BRYGGEBRO BIKE?<br />
70%<br />
HOW OFTEN DO YOU USE THE BIKE FOR THE PURPOSE<br />
IN THE PREVIUS QUESTION AFTER THE OPENING OF<br />
FREQUENCY OF BRYGGEBROEN?<br />
TRIPS TO THE MAIN PURPOSE<br />
1% 1% 1%<br />
56%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
45%<br />
40%<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
60%<br />
50%<br />
40%<br />
30%<br />
20%<br />
10%<br />
28%<br />
13%<br />
No answer<br />
More rarely<br />
Not as often<br />
Just as often as before<br />
More often<br />
Much more often<br />
0%<br />
NO<br />
ANSWER<br />
00 - 10<br />
YEARS<br />
11 - 20<br />
YEARS<br />
21 - 30<br />
YEARS<br />
31 - 40<br />
YEARS<br />
Figure 3.3.63: Distribution of the respondents by age groups.<br />
41 - 50<br />
YEARS<br />
51 - 60<br />
YEARS<br />
61 - 70<br />
YEARS<br />
0%<br />
NO ANSWER<br />
PUBLIC<br />
SCHOOL<br />
VOCATIONAL<br />
EDUCATION<br />
HIGH<br />
SCHOOL<br />
SHORT<br />
HIGHER<br />
EDUCATION<br />
Figure 3.3.65: Distribution of the respondents by educational level.<br />
MEDIUM<br />
HIGHER<br />
EDUCATION<br />
LONG<br />
HIGHER<br />
EDUCATION<br />
0%<br />
NO ANSWER 6-7 DAYS OF<br />
WEEK<br />
5 DAYS OF<br />
WEEK<br />
3-4 DAYS OF<br />
WEEK<br />
1-2 DAYS OF 1-3 DAYS OF<br />
WEEK MONTHS<br />
MORE<br />
RARELY<br />
Figure 3.3.67: Distribution of the respondents by the frequency they walk at Bryggebro.<br />
Figure 3.3.69: Distribution of the respondents by the frequency they ride a bike in<br />
Bryggebro for the main purpose mentioned in the Figure 3.3.68 after Bryggebro’s<br />
opening.<br />
The majority of the respondents at Bryggebro are between<br />
31-40 years old (32%), followed closely by respondents<br />
aged 21-30 (24%) and aged 41-50 (21%). Older respondents<br />
ranged from 51-60 years old (14%) and 61-70<br />
years old (5%). Younger respondents were aged between<br />
11-20 (2%). There were no respondents aged between<br />
0-10 years old. 2% of the respondents gave no answer.<br />
A large majority of respondents answered that they have<br />
attended a high education, for either a long high education<br />
(46%) or medium high education (31%). 8% of the<br />
respondents answered that they had attended a higher<br />
education for a short amount of time, and another 7% of<br />
respondents answered they had a vocational education.<br />
3% had receiving a public school education. 1% of the respondents<br />
gave no answer. Bryggebro’ cyclists therefore<br />
seems to be commuting to jobs that require a high level<br />
of education.<br />
Respondents were asked how often they walk at Bryggebro<br />
without bike. A majority of respondents answered less<br />
than once per month (59%). 22% walked on Bryggebro<br />
1-3 days a month, 9% answered 1-2 days a week, 7%<br />
answered 3-4 days a week. Finally, 2% stated that they<br />
walked across the bridge 6-7 days a week. This data<br />
highlights that most of Bryggebro’s cyclists do not use the<br />
site for walking.<br />
Respondents were asked how often they use their bikes<br />
for the purpose in the previous question after Bryggebro’s<br />
opening. 56 % of the respondents answered just as often<br />
as before. Notably 29% of respondents stated that they<br />
bike for that purpose much more often than before and<br />
13% said more often than before. Only 2 % answered<br />
to travel less often or much less often 1 % of the respondents<br />
gave no answer. This data indicates that Bryggebro<br />
has had an impact on the amount of travelers, and<br />
has generated more bike trips, proving the latent demand<br />
of the bridge. .<br />
GENDER<br />
1%<br />
GENDER<br />
RIDING A BIKE AT BRYGGEBRO<br />
45%<br />
40%<br />
HOW OFTEN DO YOU BIKE ON BRYGGEBROEN?<br />
WHAT IS YOUR PURPOSE ON BRYGGEBROEN?<br />
MAIN TRIP PURPOSE<br />
1%<br />
NO ANSWER<br />
HOW SATISFIED ARE YOU WITH BRYGGEBROEN?<br />
SATISFACTION WITH BRYGGEBRO<br />
2%<br />
50%<br />
49%<br />
NO ANSWER<br />
MAN<br />
WOMEN<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
3%<br />
6%<br />
9%<br />
8% 4%<br />
TRANSPORTATION TO AND<br />
FROM WORK<br />
RECREATION / LEISURE<br />
VISIT FAMILY / FRIENDS<br />
PURCHASING / SHOPPING<br />
56%<br />
8%<br />
1% 4%<br />
29%<br />
NO ANSWER<br />
VERY DISSATISFIED<br />
DISSATISFIED<br />
NEUTRAL<br />
SATISFIED<br />
5%<br />
0%<br />
NO ANSWER 6-7 DAYS OF<br />
WEEK<br />
5 DAYS OF<br />
WEEK<br />
3-4 DAYS OF<br />
WEEK<br />
1-2 DAYS OF 1-3 DAYS OF<br />
WEEK MONTHS<br />
MORE<br />
RARELY<br />
69%<br />
TRANSPORTATION TO AND<br />
FROM SCHOOL<br />
OTHERS<br />
VERY SATISFIED<br />
Figure 3.3.64: Distribution of the respondents by gender.<br />
Figure 3.3.66: Distribution of the respondents by the frequency they ride a bicycle at<br />
Bryggebro.<br />
Figure 3.3.68: Distribution of the respondents by main trip purpose when riding a bike<br />
in Bryggebro.<br />
Figure 3.3.70: Distribution of the respondents by the level of satisfaction with Bryggebro’s<br />
design.<br />
When asked about their gender, 50% of the respondents<br />
were women and 49% were men, with 1% giving no answer.<br />
When asked how often they ride a bike at the site, a majority<br />
of the respondents said that they use the bridge 5<br />
days per week (39%). 19% used the site 6-7 days per<br />
week, 18% said 3-4 days per week, 10% said 1-2 days<br />
per week and 8% said 1-3 days per month. Finally, 4%<br />
answered that they ride a bike at the site less than once<br />
per month. 2% of the respondents did not answers.<br />
When asked for what purpose the respondents use<br />
Bryggebro, 69% answered they use the infrastructure<br />
for commuting to and from work. 9% use Bryggebro for<br />
shopping, 8% use it to commute to school, 6% answered<br />
to see friends or family, 3% for recreation, 4% said other<br />
purposes. 1% of the respondents gave no answer. This<br />
figure again solidifies Bryggebro’s purpose as infrastructure<br />
mostly used for commuting.<br />
When asked how satisfied they were with Bryggebro,<br />
56% responded to be very satisfied with the infrastructure.<br />
29% stated to be satisfied, and 4% were neutral.<br />
Of the rest, 1% said they were dissatisfied and 8% said<br />
they were very dissatisfied. 2% of the respondents gave<br />
no answer. This figure shows that most cyclists appreciate<br />
Bryggebro, but there are a few users who have major<br />
concerns with the design.<br />
146 147
BRYGGEBRO`S DESIGN SAFETY AND SAFETY<br />
70%<br />
60%<br />
50%<br />
40%<br />
30%<br />
BRYGGEBRO`S DESIGN AESTHETICS AND / AESTHETICS<br />
BEAUTY<br />
70%<br />
60%<br />
50%<br />
40%<br />
30%<br />
CONFLICT<br />
EXCEEDING<br />
BETWEEN<br />
THE BOUNDARIES<br />
DIFFERENT<br />
OF BICYCLE<br />
TRANSPORT<br />
PATHS,<br />
SIDEWALK S AND LANES<br />
MODES<br />
1%<br />
9%<br />
12%<br />
35%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PAVEMENT PROBLEMS<br />
PAVEMENT PROBLEMS<br />
2%<br />
7% 4%<br />
9%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
20%<br />
10%<br />
20%<br />
10%<br />
15%<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
16%<br />
62%<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
0%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.3.71: Distribution of the respondents according to their opinion about how<br />
the Bryggebro`s design fulfilled the bicyclist safety aspect.<br />
0%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
-10%<br />
Figure 3.3.73: Distribution of the respondents according to their opinion about how<br />
the Bryggebro`s design fulfilled the aesthetics aspect.<br />
28%<br />
Figure 3.3.75: Distribution of the respondents according to their opinion about how<br />
problematic is the conflict between different transport modes at Bryggebro’s accesses.<br />
Figure 3.3.77: Distribution of the respondents according to their opinion about how<br />
problematic is the pavement at Bryggebro.<br />
Users were asked about the quality regarding the safety<br />
needs of the infrastructure. A majority of respondents answered<br />
that the design did a good job (49%) and 23%<br />
thought it did a very good job. 16% were neutral on the<br />
issue. 10% stated that it did a bad job and only 1% said<br />
the safety was very bad. 1% of the respondents gave no<br />
answer. These responses appear to say that while users<br />
are satisfied with the design of Bryggebro, the safety<br />
could only be better to a small degree.<br />
When asked about the beauty of Bryggebro’s design, the<br />
majority of respondents stated that it either did a very<br />
good (36%) or a good job (46%). 13% answered they<br />
were neutral on the design. Few of the respondents said<br />
it did poorly (2%), very poorly (1%). And 1% of the respondents<br />
gave no answer in regards to beauty. This figure<br />
indicates that users do notice the design of the bridge,<br />
and believe it adds to the cityscape.<br />
The responses covered a wide range. 35% of the respondents<br />
answered that it was not a problematic. However,<br />
28% stated it was a bit problematic, 15% claimed it was<br />
problematic, 12% said it was quite a problem, and 9%<br />
responded that it was a major problem. 1% of the respondents<br />
gave no answer. This range shows that the shared<br />
sidewalks can be a confusing space, and the majority of<br />
respondents see it as somewhat problematic.<br />
When asked whether they thought surface issues like potholes<br />
were a problem at Bryggebro, 62% of the responses<br />
said it was not a problem. 16% stated that it was a<br />
small problem, 9% claimed it was problematic, 7% said it<br />
was quite a problem, and 4% responded that it was a major<br />
problem. 2% of the respondents gave no answer. This<br />
figure shows that cyclists are satisfied with the pavement<br />
material from Bryggebro and the infrastructure has been<br />
well maintained, but conditions will have to be monitored<br />
as the structure ages.<br />
BRYGGEBRO`S DESIGN AND FAST CONNECTIVITY<br />
70%<br />
60%<br />
50%<br />
40%<br />
30%<br />
20%<br />
10%<br />
0%<br />
FAST CONNECTION<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.3.72: Distribution of the respondents according to their opinion about how<br />
the Bryggebro`s design fulfilled the fast connectivity.<br />
ILLEGALLY PARKED BICYCLES<br />
ILLEGALLY PARKED BICYCLES<br />
7%<br />
1% 1%<br />
3%<br />
86%<br />
2%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
Figure 3.3.74: Distribution of the respondents according to their opinion about how<br />
problematic illegal parking of bicycles is at Bryggebro.<br />
OBSTACLES<br />
10%<br />
10%<br />
24%<br />
5%<br />
2%<br />
OBSTACLES<br />
49%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
Figure 3.3.76: Distribution of the respondents according to their opinion about how<br />
problematic is the existence of obstacles against cyclists at Bryggebro.<br />
CRACK S AND RAMPS ON S<br />
CRACKS IN RAMPS AND INTERSECTIONS<br />
2%<br />
11%<br />
12%<br />
11%<br />
25%<br />
39%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
Figure 3.3.78: Distribution of the respondents according to their opinion about how<br />
problematic the existence of cracks in ramps and intersections is at Bryggebro.<br />
Respondents were asked if they thought the design of<br />
Bryggebro was facilitating as a fast connections, and the<br />
majority responded that it did a very good (59%) or a good<br />
job (32%). 4% respondents were neutral on the issue.<br />
Very few stated that it did a bad job (3%) or a very bad<br />
(1%). 1% of the respondents gave no answer. From this<br />
figure, it is clear that Bryggebro does a good job of facilitating<br />
fast connections across the harbour.<br />
Users were asked if they thought that illegally parked bicycles<br />
were a problem at Bryggebro. A majority of respondents<br />
(86%) said that they were not a problem. On<br />
the other hand, 7% said it was a small problem, 3% said<br />
it was problematic, 1% said it was quite problematic, and<br />
1% said it was very problematic. 2% of the respondents<br />
gave no answer. This figure shows that the design mitigate<br />
the problems with illegally parked bicycles.<br />
Respondents were asked whether they thought obstacles<br />
at Bryggebro were an issue. The responses again covered<br />
a wide range, with the largest percentage of respondents<br />
(49%) saying it was not a problem. 24% stated that<br />
is was a small problem, 10% claimed it was problematic,<br />
10% said it was quite a problem, and 5% responded that it<br />
was a major problem. 2% of the respondents gave no answer.<br />
This figure shows that 48% of users see obstacles<br />
as being an issue to some degree at Bryggebro.<br />
Users were asked whether they thought cracks were a<br />
problem in ramps and intersections. 39% of the responses<br />
said it was not a problem at Bryggebro. 25% thought<br />
that it was a small problem, 12% claimed it was problematic,<br />
11% said it was quite a problem, and another<br />
11% responded that this was a major problem. 2% of the<br />
respondents gave no answer. These results show that<br />
cracks in ramps and intersections are a concern for the<br />
majority of users of Bryggebro, one that could be fixed<br />
with maintenance.<br />
148 149
AWARENESS OF PEDESTRIANS FOR PEOPLE<br />
LACK OF AWARENESS FOR THE SURROUNDING PEOPLE<br />
RIDING A BIKE<br />
13%<br />
8%<br />
30%<br />
5%<br />
3%<br />
3% 2%<br />
41%<br />
POOR SIGNPOSTING AND INTERPRETATION<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
Figure 3.3.79: Distribution of the respondents according to their opinion about<br />
how problematic is the lack of awareness of pedestrians for people riding a bike at<br />
Bryggebro.<br />
Respondents were asked whether they thought lack of<br />
awareness of pedestrians for cyclists was an issue. A<br />
majority of respondents thought it was not a problem<br />
(41%) or it was a small problem (30%). 13% stated it<br />
was problematic, 8% said it was quite a problem, and 5%<br />
responded that this was a major problem. 3% of the respondents<br />
gave no answer. This figure shows that for the<br />
majority of users lack of awareness by other users was<br />
somewhat of an issue.<br />
SIGNPOSTING AND ITS INTERPRETATION<br />
SCENIC<br />
23%<br />
8%<br />
5%<br />
3% 2%<br />
2%<br />
POOR GREENERY<br />
59%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
Figure 3.3.81: Distribution of the respondents according to their opinion about how<br />
problematic is the scenic at Bryggebro.<br />
When asked whether they thought poor scenic landscaping<br />
was an issue at Bryggebro, 59% of the responses<br />
said it was not a problem. However, 23% said it was a<br />
small problem, 8% stated it was problematic, 5% said it<br />
was quite a problem, and 3% responded that this was a<br />
major problem. 2% of the respondents gave no answer.<br />
The figure shows a great coherence with previous question<br />
of poor signposting and interpretation.<br />
ARE YOU BIKING MORE OFTEN AFTER THE OPENING OF<br />
BIKING MORE OFTEN AFTER BRYGGEBRO INTER-<br />
VENTION<br />
BRYGGEBROEN?<br />
QUALITIES IF YES, INFLUENCING WHAT QUALITIES ABOUT TO RIDE BRYGGEBROEN A BIKEHAS<br />
INFLUENCED YOUR CHOICE OF BIKING MORE OFTEN?<br />
45%<br />
40%<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
0%<br />
SAFETY<br />
A GOOD EXPERIENCE<br />
FASTER CONNECTION<br />
WIDER BIKE LANES<br />
GREENER AREAS<br />
FASTER BIKE LANES<br />
GREEN WEDGE<br />
ATTRECTIVE LANDSCAPE<br />
BETTER SIGNPOSTING<br />
BIKE MAPS<br />
MAINTENANCE OF BIKES<br />
BIKE PARKING<br />
Figure 3.3.83: Among the respondents that said yes in the previous question (Figure<br />
3.3.82), what qualities has influenced their choice to ride a bike more often after the<br />
opening of Bryggebro. The respondents could choice more than one option.<br />
Respondents were asked what aspect of the intervention<br />
make them ride their bike more often, the largest portion<br />
of users stated that faster connections (41%) made the<br />
largest impact. 13% responded saying fast bicycle lanes<br />
made them ride more often, and 9% stated attractive<br />
landscaping made an impact for them. 34 stated they<br />
ride more often at Bryggebro because the pleasant experience<br />
and 4% replied wide bike lanes made the difference<br />
for them. From this data the most important factors<br />
that influenced the amount users ride was the faster trips<br />
that resulted from the infrastructure.<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
0%<br />
45%<br />
HOW IMPORTANT IS STREET DESIGN (GREEN AREAS,<br />
LIGHTING, ETC.) FOR YOUR DECISION TO TAKE THE<br />
BIK E?<br />
STREET DESIGN INFLUENCING TO RIDE A BIKE<br />
NO ANSWER NOT AT ALL NOT<br />
IMPORTANT<br />
IMPROTANT<br />
NEUTRAL IMPORTANT<br />
VERY<br />
IMPORTANT<br />
IMPROTANT<br />
Figure 3.3.84: Distribution of respondents according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to<br />
ride a bike.<br />
Users were asked, how important is street design in your<br />
decision to ride your bicycle. The largest portion of respondents<br />
answered saying that street design was important<br />
(33%), 29% were neutral on the issue, 20% said<br />
it was not important, and 11% said it was not important<br />
at all. Only 17% respondents stated that it was a very<br />
important factor for them. This figure shows that while<br />
streetscapes are not a critical factor in bicycle use, they<br />
are still important and noticed by users.<br />
STREET DESIGN SOLUTIONS AT BRYGGEBRO<br />
WHAT DO YOU THINK OF THE DESIGN SOLUTIONS<br />
THAT ARE APPLIED TO BRYGGEBROEN (GREEN AREAS,<br />
L IGHTING, ETC.)?<br />
23%<br />
8%<br />
5%<br />
59%<br />
NO ANSWER<br />
NOT PROBLEMATIC<br />
A BIT PROBLEMATIC<br />
PROBLEMATIC<br />
QUITE PROBLEMATIC<br />
MAJOR PROLEM<br />
68%<br />
30%<br />
NO ANSWER<br />
YES<br />
NO<br />
40%<br />
35%<br />
30%<br />
25%<br />
20%<br />
15%<br />
10%<br />
5%<br />
0%<br />
NO ANSWER VERY BAD BAD NEUTRAL GOOD VERY GOOD<br />
Figure 3.3.80: Distribution of the respondents according to their opinion about how<br />
problematic is signposting and its interpretation at Bryggebro.<br />
When asked whether poor signage was an issue at<br />
Bryggebro, 59% of the responses said it was not a problem.<br />
On the other hand, 23% said it was a small problem,<br />
8% stated it was problematic, 5% said it was quite a problem,<br />
and 3% responded that this was a major problem.<br />
2% of the respondents gave no answer.<br />
Figure 3.3.82: Distribution of the respondents based on starting to ride a bike more<br />
often, or not, after the opening of Bryggebro.<br />
When asked whether they bike more often after Bryggebro<br />
opened, 68% said they have not biked more often.<br />
However, 30% of the respondents said that they were biking<br />
more often after the bridge opened. 2% of the respondents<br />
gave no answer. This figure shows that Bryggebro<br />
has increased ridership for a third of all users. This is evidence<br />
of a strong impact dedicated cycling facilities that<br />
enhance fast connectivity can have on trip generation.<br />
Figure 3.3.85: Distribution of respondents according to their opinion about the street<br />
design solutions (lightning, pavement material, greenery, etc) used in Bryggebro.<br />
When asked for their opinion on the design solution applied<br />
to Bryggebro, most respondents replied that it was<br />
a good solution (42%) or that they were neutral on the<br />
issue (36%). 11% believed it was a very good design<br />
solution. On ther other hand, 7% thought it was poor and<br />
4% responded very poor. 1% of the respondents gave no<br />
answer.<br />
150 151
RELATIONS BETWEEN SOCIO-DEMOGRAPHIC VARIABLES AND WEB-<br />
SURVEY ANSWERS<br />
The Chi2 test was applied to identify possible relations between the socio-demographics (independent variables) of the<br />
sample and their answers from the web survey (dependable variables). Considering the nature of the studied variables<br />
– the majority of them are nominal – the Chi2 test was selected to this analysis.<br />
The Chi2 test is about finding out if there is a connection between the variables. It is about testing the nul hypothesis.<br />
H0 says that the variables are statistic independent and HA says the variables are statistic dependent. To the test we<br />
set a α-level at 0,05. In the case of the p-value is under that, we can’t reject the nul hypothesis.<br />
SOCIO-DEMOGRAPHICS AND WALKING AT BRYGGEBRO<br />
6-7 DAYS/ 5 DAYS/ 3-4 DAYS/ 1-2 DAYS/ 1-3 DAYS/ MORE<br />
WEEK WEEK WEEK WEEK MONTHS RARELY<br />
TOTAL<br />
MALE 2 1 8 12 24 9 139<br />
FEMALE 3 0 11 14 37 78 143<br />
TOTAL 2 1 19 26 61 170 282<br />
Table 3.3.5: Distribution of the respondents by gender according to the frequency they walk at Bryggebro<br />
Out of the Table 3.3.5, the SPSS calculated the Chi2 to be 5,695 with a degree of freedom (df) 5 and the missing values<br />
are 8. The P value is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND RIDING A BIKE AT BRYGGEBRO<br />
6-7 DAYS/ 5 DAYS/ 3-4 DAYS/ 1-2 DAYS/ 1-3 DAYS/ MORE<br />
WEEK<br />
WEEK WEEK WEEK MONTHS RARELY<br />
TOTAL<br />
MALE 27 53 24 15 12 7 138<br />
FEMALE 26 57 28 14 12 4 141<br />
TOTAL 53 110 52 29 24 11 279<br />
Table 3.3.2: Distribution of the respondents by gender according to the frequency they ride a bicycle at Bryggebro.<br />
Out of the Table 3.3.2, the SPSS calculated the Chi2 to be 1,293 with a degree of freedom (df) 5 and the missing values<br />
are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7<br />
DAYS-<br />
/WEEK<br />
5 DAYS-<br />
/WEEK<br />
3-4 DAYS<br />
/WEEK<br />
1-2 DAYS<br />
/WEEK<br />
1-3<br />
DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
PUBLIC SCHOOL 0 0 2 2 2 2 8<br />
VOCATIONAL EDUC. 1 0 1 1 7 10 20<br />
HIGH SCHOOL 0 0 2 1 1 8 12<br />
SHORT HIGHER EDUC. 0 0 2 3 5 13 23<br />
MEDIUM HIGHER EDUC. 2 0 2 10 18 58 90<br />
LONG HIGHER EDUC. 2 1 10 9 28 80 130<br />
TOTAL 5 1 19 26 61 171 283<br />
Table 3.3.6: Distribution of the respondents by educational level according to the frequency they walk at Bryggebro<br />
Out of the Table 3.3.6, the SPSS calculated the Chi2 to be 21,379 with a degree of freedom (df) 25 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
PUBLIC SCHOOL 3 1 1 1 1 1 8<br />
VOCATIONAL EDUC. 6 8 3 2 1 0 20<br />
HIGH SCHOOL 4 3 3 1 0 1 12<br />
SHORT HIGHER EDUC. 4 11 4 1 0 3 23<br />
MEDIUM HIGHER EDUC. 16 36 13 8 12 5 90<br />
LONG HIGHER EDUC. 21 51 28 16 10 1 127<br />
TOTAL 54 110 52 29 24 11 280<br />
Table 3.3.3: Distribution of the respondents by educational level according to the frequency they ride a bicycle at Bryggebro.<br />
Out of the Table 3.3.3, the SPSS calculated the Chi2 to be 28,344 with a degree of freedom (df) 5 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7<br />
DAYS/ WEEK<br />
5<br />
DAYS/ WEEK<br />
3-4<br />
DAYS/ WEEK<br />
1-2<br />
DAYS/ WEEK<br />
1-3<br />
DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
01-20 YEARS 0 0 1 1 1 3 6<br />
21-30 YEARS 2 0 5 4 16 40 67<br />
31-40 YEARS 2 0 5 11 24 51 93<br />
41-50 YEARS 1 1 3 3 11 43 62<br />
51-60 YEARS 0 0 3 5 2 29 39<br />
61-90 YEARS 0 0 2 2 5 5 14<br />
TOTAL 5 1 19 26 59 171 281<br />
Table 3.3.7: Distribution of the respondents by age groups according to the frequency they walk at Bryggebro<br />
Out of the Table 3.3.7, the SPSS calculated the Chi2 to be 23,805 with a degree of freedom (df) 25 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
6-7 DAYS/<br />
WEEK<br />
5 DAYS/<br />
WEEK<br />
3-4 DAYS/<br />
WEEK<br />
1-2 DAYS/<br />
WEEK<br />
1-3 DAYS/<br />
MONTHS<br />
MORE<br />
RARELY<br />
TOTAL<br />
01-20 YEARS 1 1 1 1 1 1 6<br />
21-30 YEARS 14 21 19 5 3 2 64<br />
31-40 YEARS 15 41 16 14 5 3 94<br />
41-50 YEARS 11 27 8 5 8 2 61<br />
51-60 YEARS 8 13 4 4 7 2 38<br />
61-90 YEARS 4 6 4 0 0 1 15<br />
TOTAL 53 109 52 29 24 11 278<br />
Table 3.3.4: Distribution of the respondents by age groups according to the frequency they ride a bicycle at Bryggebro.<br />
Out of the Table 3.3.4, the SPSS calculated the Chi2 to be 28,288 with a degree of freedom (df) 25 and the missing<br />
values are 12. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND MAIN TRIP PURPOSE<br />
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREATION /<br />
LEISURE<br />
VISIT<br />
FAMILY /<br />
FRIENDS<br />
PURCHASING<br />
/ SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
MALE 104 4 4 13 7 7 139<br />
FEMALE 92 5 14 13 16 4 144<br />
TOTAL 196 9 18 26 23 11 283<br />
Table 3.3.8: Distribution of the respondents by gender according to the main trip purpose when riding a bike in Bryggebro.<br />
Out of the Table 3.3.8, the SPSS calculated the Chi2 to be 10,656 with a degree of freedom (df) 5 and the missing<br />
values are 7. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
TOTAL<br />
152 153
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREA-<br />
TION/<br />
LEISURE<br />
VISIT<br />
FAMILY/<br />
FRIENDS<br />
PURCHA-<br />
SING/<br />
SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
TOTAL<br />
PUBLIC SCHOOL 4 1 0 2 0 1 8<br />
VOCATIONAL EDUC. 17 2 0 0 0 1 20<br />
HIGH SCHOOL 6 1 0 1 4 0 12<br />
SHORT HIGHER EDUC. 19 0 1 3 0 0 23<br />
MEDIUM HIGHER EDUC. 58 4 6 13 4 5 90<br />
LONG HIGHER EDUC. 92 1 11 8 15 4 131<br />
TOTAL 196 9 18 27 23 11 284<br />
Table 3.3.9: Distribution of the respondents by educational level according to the main trip purpose when riding a bike in Bryggebro.<br />
Out of the Table 3.3.9, the SPSS calculated the Chi2 to be 10,656 with a degree of freedom (df) 5 and the missing<br />
values are 7. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
TRANS. TO<br />
AND FROM<br />
WORK<br />
RECREA-<br />
TION/<br />
LEISURE<br />
VISIT<br />
FAMILY/<br />
FRIENDS<br />
PURCHA-<br />
SING/<br />
SHOPPING<br />
TRANS. TO<br />
AND FROM<br />
SCHOOL<br />
OTHERS<br />
TOTAL<br />
01-20 YEARS 0 1 0 1 3 1 6<br />
21-30 YEARS 39 1 8 3 15 0 66<br />
31-40 YEARS 70 2 4 12 4 2 94<br />
41-50 YEARS 53 1 3 2 0 3 62<br />
51-60 YEARS 27 2 2 5 1 2 39<br />
61-90 YEARS 5 2 1 4 0 3 15<br />
TOTAL 194 9 18 27 23 11 282<br />
Table 3.3.10: Distribution of the respondents by age groups according to the main trip purpose when riding a bike in Bryggebro<br />
Out of the Table 3.3.10, the SPSS calculated the Chi2 to be 91,975 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is less than 0,001. Therefore, the variables are very dependent.<br />
MORE RARELY<br />
NOT AS OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
Out of the Table 3.3.14, the SPSS calculated the Chi2 to be 3,259 with a degree of freedom (df) 4 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
01-20 YEARS 1 0 4 0 1 6<br />
21-30 YEARS 0 1 39 12 15 67<br />
31-40 YEARS 0 1 53 8 31 93<br />
41-50 YEARS 1 0 35 5 21 62<br />
51-60 YEARS 1 0 19 8 11 39<br />
61-90 YEARS 0 0 9 3 3 15<br />
TOTAL 3 2 159 36 82 282<br />
Table 3.3.13: Distribution of the respondents by age groups according to the frequency they ride a bike in Bryggebro for the main purpose<br />
mentioned in the Table 3.3.68, after the intervention in Bryggebro.<br />
Out of the Table 3.3.13, the SPSS calculated the Chi2 to be 28,606 with a degree of freedom (df) 20 and the missing<br />
values are 8. is between 0,100 and 0,050, but very close to 0,100. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND SATISFACTION WITH BRYGGEBRO<br />
MORE RARELY NOT AS OFTEN<br />
JUST AS<br />
MUCH MORE<br />
OFTEN AS MORE OFTEN<br />
OFTEN<br />
BEFORE<br />
TOTAL<br />
MALE 2 1 85 19 32 139<br />
FEMALE 1 1 75 17 50 144<br />
TOTAL 3 2 160 36 82 283<br />
Table 3.3.14: Distribution of the respondents by gender according to the level of satisfaction with the design of Bryggebro.<br />
SOCIO-DEMOGRAPHICS AND FREQUENCY OF TRIPS TO THE MAIN PURPOSE<br />
MORE RARELY<br />
NOT AS OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
MALE 2 1 85 19 32 139<br />
FEMALE 1 1 75 17 50 144<br />
TOTAL 3 2 160 36 82 283<br />
Table 3.3.11: Distribution of the respondents by gender according to the frequency they ride a bike in Bryggebro for the main purpose mentioned<br />
in the Table 3.3.68, after the intervention in Bryggebro.<br />
Out of the Table 3.3.11, the SPSS calculated the Chi2 to be 4,934 with a degree of freedom (df) 4 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
VERY DIS- DIS-<br />
SATISFIED SATISFIED<br />
NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 0 0 0 8 8<br />
VOCATIONAL EDUC. 2 1 0 5 11 19<br />
HIGH SCHOOL 3 0 0 2 7 12<br />
SHORT HIGHER EDUC. 0 0 2 8 12 22<br />
MEDIUM HIGHER EDUC. 8 1 3 30 48 90<br />
LONG HIGHER EDUC. 9 2 5 38 77 131<br />
TOTAL 22 4 10 83 163 282<br />
Table 3.3.15: Distribution of the respondents by educational level according to the level of satisfaction with the design of Bryggebro.<br />
Out of the Table 3.3.15, the SPSS calculated the Chi2 to be 20,081 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
MORE<br />
RARELY<br />
NOT AS<br />
OFTEN<br />
JUST AS<br />
OFTEN AS<br />
BEFORE<br />
MORE OFTEN<br />
MUCH MORE<br />
OFTEN<br />
PUBLIC SCHOOL 1 0 4 0 3 8<br />
VOCATIONAL EDUC. 0 0 9 1 9 19<br />
HIGH SCHOOL 0 0 5 2 5 12<br />
SHORT HIGHER EDUC. 1 0 18 1 3 23<br />
MEDIUM HIGHER EDUC. 0 1 48 13 29 91<br />
LONG HIGHER EDUC. 1 1 76 19 34 131<br />
TOTAL 3 2 160 36 83 284<br />
Table 3.3.12: Distribution of the respondents by educational level according to the frequency they ride a bike in Bryggebro for the main purpose<br />
mentioned in the Table 3.3.68, after the intervention in Bryggebro.<br />
Out of the Table 3.3.12, the SPSS calculated the Chi2 to be 26,838 with a degree of freedom (df) 20 and the missing<br />
values are 6. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
TOTAL<br />
VERY<br />
DISSATISFIED<br />
DISSATISFIED NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 0 0 0 6 6<br />
21-30 YEARS 5 1 3 25 32 66<br />
31-40 YEARS 10 1 1 28 54 94<br />
41-50 YEARS 3 2 3 17 36 61<br />
51-60 YEARS 2 0 3 10 24 39<br />
61-90 YEARS 2 0 0 3 9 14<br />
TOTAL 22 4 10 83 161 280<br />
Table 3.3.16: Distribution of the respondents by age groups according to the level of satisfaction with the design of Bryggebro.<br />
Out of the Table 3.3.16, the SPSS calculated the Chi2 to be 17,233 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
154 155
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE IMPACT OF BRYGGEBRO`S DESIGN ON SAFETY<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 3 14 18 69 36 140<br />
FEMALE 0 14 29 69 31 143<br />
TOTAL 3 28 47 138 67 283<br />
Table 3.3.17: Distribution of the respondents by gender according to their opinion about how the Bryggebro`s design fulfilled the cyclist safety<br />
aspect.<br />
Out of the Table 3.3.17, the SPSS calculated the Chi2 to be 5,916 with a degree of freedom (df) 4 and the missing<br />
values are 7. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 0 0 1 7 8<br />
VOCATIONAL EDUC. 2 0 0 4 13 19<br />
HIGH SCHOOL 0 1 1 3 7 12<br />
SHORT HIGHER EDUC. 0 0 1 10 12 23<br />
MEDIUM HIGHER EDUC. 0 2 5 28 56 91<br />
LONG HIGHER EDUC. 1 5 5 48 72 131<br />
TOTAL 3 8 12 94 167 284<br />
Table 3.3.21: Distribution of the respondents by educational level according to their opinion about how the Bryggebro`s design fulfilled the fast<br />
connectivity.<br />
Out of the Table 3.3.21, the SPSS calculated the Chi2 to be 28,493 with a degree of freedom (df) 20 and the missing<br />
values are 6. P is between 0,100 and 0,050, but very close to 0,100. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 0 1 3 4 8<br />
VOCATIONAL EDUC. 0 3 5 7 4 19<br />
HIGH SCHOOL 0 1 2 5 4 12<br />
SHORT HIGHER EDUC. 1 2 5 11 4 23<br />
MEDIUM HIGHER EDUC. 1 12 17 42 19 91<br />
LONG HIGHER EDUC. 1 10 17 71 32 131<br />
TOTAL 3 28 47 139 67 284<br />
Table 3.3.18: Distribution of the respondents by educational level according to their opinion about how the Bryggebro`s design fulfilled the<br />
cyclist safety aspect.<br />
Out of the Table 3.3.18, the SPSS calculated the Chi2 to be 14,293 with a degree of freedom (df) 5 and the missing<br />
values are 6. P is bigger than 0,100. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 0 0 2 4 6<br />
21-30 YEARS 1 3 5 21 37 67<br />
31-40 YEARS 2 2 4 33 53 94<br />
41-50 YEARS 0 1 2 25 33 61<br />
51-60 YEARS 0 2 1 10 26 39<br />
61-90 YEARS 0 0 0 2 13 15<br />
TOTAL 3 8 12 93 166 282<br />
Table 3.3.22: Distribution of the respondents by age groups according to their opinion about how the Bryggebro`s design fulfilled the fast connectivity.<br />
Out of the Table 3.3.22, the SPSS calculated the Chi2 to be 14,424 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 0 0 4 2 6<br />
21-30 YEARS 1 8 10 30 18 67<br />
31-40 YEARS 1 10 15 48 20 94<br />
41-50 YEARS 1 4 13 29 14 61<br />
51-60 YEARS 0 3 7 22 7 39<br />
61-90 YEARS 0 3 2 6 4 15<br />
TOTAL 3 28 47 139 65 282<br />
Table 3.3.19: Distribution of the respondents by age group according to their opinion about how the Bryggebro`s design fulfilled the cyclist<br />
safety aspect.<br />
Out of the Table 3.3.19, the SPSS calculated the Chi2 to be 9,124 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT BRYGGEBRO`S AESTHETICS<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 1 3 22 63 50 139<br />
FEMALE 1 3 15 70 54 143<br />
TOTAL 2 6 37 133 104 282<br />
Table 3.3.23: Distribution of the respondents by gender according to their opinion about how the Bryggebro`s design fulfilled the aesthetics<br />
aspect.<br />
Out of the Table3.3.23, the SPSS calculated the Chi2 to be 1,790 with a degree of freedom (df) 4 and the missing values<br />
are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE IMPACT OF BRYGGEBRO`S DESIGN ON FAST CONNEC-<br />
TIVITY<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 0 4 4 45 87 140<br />
FEMALE 3 4 8 48 80 143<br />
TOTAL 3 8 12 93 167 283<br />
Table 3.3.20: Distribution of the respondents by gender according to their opinion about how the Bryggebro`s design fulfilled the fast connectivity.<br />
Out of the Table 3.3.20, the SPSS calculated the Chi2 to be 4,692 with a degree of freedom (df) 4 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 0 3 3 2 8<br />
VOCATIONAL EDUC. 0 0 3 9 7 19<br />
HIGH SCHOOL 1 0 2 4 5 12<br />
SHORT HIGHER EDUC. 0 1 1 14 7 23<br />
MEDIUM HIGHER EDUC. 0 3 13 44 30 90<br />
LONG HIGHER EDUC. 1 2 16 59 53 131<br />
TOTAL 2 6 38 133 104 283<br />
Table 3.3.24: Distribution of the respondents by educational level according to their opinion about how the Bryggebro`s design fulfilled the<br />
aesthetics aspect.<br />
Out of the Table 3.3.24, the SPSS calculated the Chi2 to be 21,483 with a degree of freedom (df) 20 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
156 157
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 0 2 2 2 6<br />
21-30 YEARS 2 0 6 31 28 67<br />
31-40 YEARS 0 1 20 45 28 94<br />
41-50 YEARS 0 2 5 34 20 61<br />
51-60 YEARS 0 3 4 14 18 39<br />
61-90 YEARS 0 0 1 7 6 14<br />
TOTAL 2 6 38 133 102 281<br />
Table 3.3.25: Distribution of the respondents by age groups according to their opinion about how the Bryggebro`s design fulfilled the aesthetics<br />
aspect.<br />
Out of the Table 3.3.25, the SPSS calculated the Chi2 to be 29,093 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT CONFLICT BETWEEN DIFFERENT TRANSPORT MODES<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 56 37 20 12 13 138<br />
FEMALE 44 44 21 23 12 144<br />
TOTAL 100 81 41 35 25 282<br />
Table 3.3.29: Distribution of the respondents by gender according to their opinion about how problematic is the conflict between different<br />
transport modes at Bryggebro.<br />
Out of the Table 3.3.29, the SPSS calculated the Chi2 to be 5,441 with a degree of freedom (df) 4 and the missing values<br />
are 8. P is between 0,250 and 0,100, but very close to 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT ILLEGALLY PARKED BICYCLES<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 123 12 2 1 1 139<br />
FEMALE 124 8 6 1 3 142<br />
TOTAL 247 20 8 2 4 281<br />
Table 3.3.26: Distribution of the respondents by gender according to their opinion about how problematic illegal parking of bicycles is at Bryggebro.<br />
Out of the Table 3.3.26, the SPSS calculated the Chi2 to be 3,772 with a degree of freedom (df) 4 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 2 6 0 0 0 8<br />
VOCATIONAL EDUC. 7 4 5 1 1 18<br />
HIGH SCHOOL 4 2 5 1 0 12<br />
SHORT HIGHER EDUC. 8 6 1 6 2 23<br />
MEDIUM HIGHER EDUC. 37 24 13 6 11 91<br />
LONG HIGHER EDUC. 43 39 17 21 11 131<br />
TOTAL 101 81 41 35 25 283<br />
Table 3.3.30: Distribution of the respondents by educational level according to their opinion about how problematic is the conflict between different<br />
transport modes at Bryggebro.<br />
Out of the Table 3.3.30, the SPSS calculated the Chi2 to be 32,020 with a degree of freedom (df) 20 and the missing<br />
values are 7. P is between 0,050 and 0,025. Therefore, the variables are dependent<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 7 0 1 0 0 8<br />
VOCATIONAL EDUC. 15 3 1 0 0 19<br />
HIGH SCHOOL 10 2 0 0 0 12<br />
SHORT HIGHER EDUC. 21 1 0 0 1 23<br />
MEDIUM HIGHER EDUC. 77 9 4 1 0 91<br />
LONG HIGHER EDUC. 177 5 2 2 3 129<br />
TOTAL 247 20 8 3 4 282<br />
Table 3.3.27: Distribution of the respondents by educational level according to their opinion about how problematic illegal parking of bicycles is<br />
at Bryggebro.<br />
Out of the Table 3.3.27, the SPSS calculated the Chi2 to be 18,216 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 3 2 1 0 0 6<br />
21-30 YEARS 20 23 9 8 7 67<br />
31-40 YEARS 38 27 8 14 6 93<br />
41-50 YEARS 23 17 14 3 5 62<br />
51-60 YEARS 9 11 5 10 4 39<br />
61-90 YEARS 7 1 3 0 3 14<br />
TOTAL 100 81 40 35 25 281<br />
Table 3.3.31: Distribution of the respondents by age groups according to their opinion about how problematic is the conflict between different<br />
transport modes at Bryggebro.<br />
Out of the Table 3.3.31, the SPSS calculated the Chi2 to be 23,805 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is between 0,250 and 0,100, but very close to 0,100. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 5 1 0 0 0 6<br />
21-30 YEARS 57 6 2 0 2 67<br />
31-40 YEARS 87 2 2 1 1 93<br />
41-50 YEARS 55 5 1 1 0 62<br />
51-60 YEARS 29 6 2 0 1 38<br />
61-90 YEARS 12 0 1 1 0 14<br />
TOTAL 245 20 8 3 4 280<br />
Table 3.3.28: Distribution of the respondents by age groups according to their opinion about how problematic illegal parking of bicycles is at<br />
Bryggebro.<br />
Out of the Table 3.3.28, the SPSS calculated the Chi2 to be 21,664 with a degree of freedom (df) 5 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT OBSTACLES AGAINST CYCLISTS<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 74 28 16 14 7 139<br />
FEMALE 66 42 11 14 9 142<br />
TOTAL 140 70 27 28 16 281<br />
Table 3.3.32: Distribution of the respondents by gender according to their opinion about how problematic is the existence of obstacles against<br />
the cyclists at Bryggebro.<br />
Out of the Table 3.3.32, the SPSS calculated the Chi2 to be 4,402 with a degree of freedom (df) 4 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
158 159
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
TOTAL<br />
PUBLIC SCHOOL 4 4 0 0 0 8<br />
VOCATIONAL EDUC. 8 5 4 0 2 19<br />
HIGH SCHOOL 7 4 1 0 0 12<br />
SHORT HIGHER EDUC. 12 3 2 2 3 22<br />
MEDIUM HIGHER EDUC. 43 27 6 11 3 90<br />
LONG HIGHER EDUC. 67 27 14 15 8 131<br />
TOTAL 141 70 27 28 16 282<br />
Table 3.3.33: Distribution of the respondents by educational level according to their opinion about how problematic is the existence of obstacles<br />
against the cyclists at Bryggebro.<br />
Out of the Table 3.3.33, the SPSS calculated the Chi2 to be 20,378 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 3 2 1 0 0 6<br />
21-30 YEARS 38 12 6 7 3 66<br />
31-40 YEARS 68 8 9 4 3 92<br />
41-50 YEARS 39 11 7 3 2 62<br />
51-60 YEARS 21 9 2 3 3 38<br />
61-90 YEARS 7 2 2 2 1 14<br />
TOTAL 176 44 27 19 12 278<br />
Table 3.3.37 Distribution of the respondents by age groups according to their opinion about how problematic is the pavement at Bryggebro.<br />
Out of the Table 3.3.37, the SPSS calculated the Chi2 to be 16,722 with a degree of freedom (df) 5 and the missing<br />
values are 12. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT CRACKS IN RAMPS AND INTERSECTIONS<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 3 3 0 0 0 6<br />
21-30 YEARS 25 17 10 10 5 67<br />
31-40 YEARS 52 17 10 10 4 93<br />
41-50 YEARS 35 16 4 3 3 61<br />
51-60 YEARS 19 13 2 3 2 39<br />
61-90 YEARS 5 4 1 2 2 14<br />
TOTAL 139 70 27 28 16 280<br />
Table 3.3.34: Distribution of the respondents by age groups according to their opinion about how problematic is the existence of obstacles<br />
against the cyclists at Bryggebro.<br />
Out of the Table 3.3.34, the SPSS calculated the Chi2 to be 19,842 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 56 37 16 14 14 137<br />
FEMALE 57 33 18 17 19 144<br />
TOTAL 113 70 34 31 33 281<br />
Table 3.3.38: Distribution of the respondents by gender according to their opinion about how problematic is the existence of cracks in ramps<br />
and intersectios is at Bryggebro.<br />
Out of the Table 3.3.38, the SPSS calculated the Chi2 to be 1,229 with a degree of freedom (df) 4 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT THE PAVEMENT<br />
NOT<br />
A BIT<br />
QUITE<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC<br />
MAJOR PROBLEM TOTAL<br />
MALE 88 21 13 11 6 139<br />
FEMALE 89 23 14 8 6 140<br />
TOTAL 177 44 27 19 12 279<br />
Table 3.3.35: Distribution of the respondents by gender according to their opinion about how problematic is the pavement at Bryggebro.<br />
Out of the Table 3.3.35, the SPSS calculated the Chi2 to be 0,604 with a degree of freedom (df) 5 and the missing<br />
values are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 4 3 1 0 0 8<br />
VOCATIONAL EDUC. 4 7 5 3 0 19<br />
HIGH SCHOOL 6 4 1 0 1 12<br />
SHORT HIGHER EDUC. 8 3 4 4 4 23<br />
MEDIUM HIGHER EDUC. 42 17 12 9 11 91<br />
LONG HIGHER EDUC. 49 37 11 15 17 129<br />
TOTAL 113 71 34 31 33 282<br />
Table 3.3.39: Distribution of the respondents by educational level according to their opinion about how problematic is the existence of cracks in<br />
ramps and intersections is at Bryggebro.<br />
Out of the Table 3.3.39, the SPSS calculated the Chi2 to be 21,754 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 5 2 1 0 0 8<br />
VOCATIONAL EDUC. 14 2 3 0 0 19<br />
HIGH SCHOOL 9 1 1 1 0 12<br />
SHORT HIGHER EDUC. 12 4 3 0 3 22<br />
MEDIUM HIGHER EDUC. 56 14 8 7 3 88<br />
LONG HIGHER EDUC. 82 21 11 11 6 131<br />
TOTAL 178 44 27 19 12 280<br />
Table 3.3.36: Distribution of the respondents by educational level according to their opinion about how problematic is the pavement at Bryggebro.<br />
Out of the Table 3.3.36, the SPSS calculated the Chi2 to be 13,957 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 2 4 0 0 0 6<br />
21-30 YEARS 20 20 5 10 10 65<br />
31-40 YEARS 48 14 15 8 9 94<br />
41-50 YEARS 25 17 7 8 5 62<br />
51-60 YEARS 13 12 6 2 5 38<br />
61-90 YEARS 4 3 1 3 4 15<br />
TOTAL 112 70 34 31 33 280<br />
Table 3.3.40: Distribution of the respondents by age groups according to their opinion about how problematic is the existence of cracks in<br />
ramps and intersections is at Bryggebro.<br />
Out of the Table 3.3.40, the SPSS calculated the Chi2 to be 29,037 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
160 161
SOCIO-DEMOGRAPHICS AND OPINION ABOUT AWARENESS OF PEDESTRIANS FOR PEOPLE RIDING A BIKE<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 56 37 16 14 14 137<br />
FEMALE 57 33 18 17 19 144<br />
TOTAL 113 70 34 31 33 281<br />
Table 3.3.41: Distribution of the respondents by gender according to their opinion about how problematic is the lack of awareness of pedestrians<br />
for people riding a bike at Bryggebro.<br />
Out of the Table 3.3.41, the SPSS calculated the Chi2 to be 11,754 with a degree of freedom (df) 4 and the missing<br />
values are 13. P is between 0,025 and 0,010. Therefore, the variables are dependent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 4 3 0 1 0 8<br />
VOCATIONAL EDUC. 9 8 0 1 1 19<br />
HIGH SCHOOL 6 4 1 0 0 11<br />
SHORT HIGHER EDUC. 11 6 4 1 1 23<br />
MEDIUM HIGHER EDUC. 57 18 10 3 2 90<br />
LONG HIGHER EDUC. 83 27 8 7 4 129<br />
TOTAL 170 66 23 13 8 280<br />
Table 3.3.45: Distribution of the respondents by educational level according to their opinion about how problematic is signposting and its<br />
interpretation at Bryggebro.<br />
Out of the Table 3.3.45, the SPSS calculated the Chi2 to be 16,409 with a degree of freedom (df) 20 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 5 2 0 0 1 8<br />
VOCATIONAL EDUC. 5 7 1 4 1 18<br />
HIGH SCHOOL 5 4 2 1 0 12<br />
SHORT HIGHER EDUC. 8 9 2 2 2 23<br />
MEDIUM HIGHER EDUC. 39 25 14 6 6 90<br />
LONG HIGHER EDUC. 56 38 18 9 6 127<br />
TOTAL 118 85 37 22 16 278<br />
Table 3.3.42: Distribution of the respondents by educational level according to their opinion about how problematic is the lack of awareness of<br />
pedestrians for people riding a bike at Bryggebro.<br />
Out of the Table 3.3.42, the SPSS calculated the Chi2 to be 13,796 with a degree of freedom (df) 20 and the missing<br />
values are 12. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 3 3 0 0 0 6<br />
21-30 YEARS 40 9 11 6 1 67<br />
31-40 YEARS 54 24 6 5 3 92<br />
41-50 YEARS 38 17 4 0 2 61<br />
51-60 YEARS 23 11 1 2 1 38<br />
61-90 YEARS 10 2 1 0 1 14<br />
TOTAL 168 66 23 13 8 278<br />
Table 3.3.46: Distribution of the respondents by age groups according to their opinion about how problematic is signposting and its interpretation<br />
at Bryggebro.<br />
Out of the Table 3.3.46, the SPSS calculated the Chi2 to be 22,884 with a degree of freedom (df) 5 and the missing<br />
values are 12. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 4 0 1 0 0 5<br />
21-30 YEARS 21 26 8 7 4 66<br />
31-40 YEARS 45 31 11 3 3 93<br />
41-50 YEARS 30 13 8 6 4 61<br />
51-60 YEARS 13 10 6 5 3 37<br />
61-90 YEARS 5 4 2 1 2 14<br />
TOTAL 118 84 36 22 16 276<br />
Table 3.3.43: Distribution of the respondents by age groups according to their opinion about how problematic is the lack of awareness of<br />
pedestrians for people riding a bike at Bryggebro.<br />
Out of the Table 3.3.43, the SPSS calculated the Chi2 to be 20,198 with a degree of freedom (df) 20 and the missing<br />
values are 14. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT SCENIC<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 75 39 16 5 4 138<br />
FEMALE 93 28 7 9 5 142<br />
TOTAL 168 66 23 14 9 280<br />
Table 3.3.47: Distribution of the respondents by gender according to their opinion about how problematic is the scenic at Bryggebro.<br />
Out of the Table 3.3.47, the SPSS calculated the Chi2 to be 8,164 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is between 0,100 and 0,050. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT SIGNPOSTING AND ITS INTERPRETATION<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
MALE 89 30 8 7 3 137<br />
FEMALE 80 36 15 6 5 142<br />
TOTAL 169 66 23 13 8 279<br />
Table 3.3.44: Distribution of the respondents by gender according to their opinion about how problematic is signposting and its interpretation at<br />
Bryggebro.<br />
Out of the Table 3.3.44, the SPSS calculated the Chi2 to be 3,644 with a degree of freedom (df) 4 and the missing<br />
values are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT PROBLE-<br />
MATIC<br />
A BIT<br />
PROBLE-<br />
MATIC<br />
PROBLE-<br />
MATIC<br />
QUITE<br />
PROBLE-<br />
MATIC<br />
MAJOR<br />
PROBLEM<br />
PUBLIC SCHOOL 6 1 0 1 0 8<br />
VOCATIONAL EDUC. 13 4 1 0 1 19<br />
HIGH SCHOOL 9 1 1 1 0 12<br />
SHORT HIGHER EDUC. 14 3 4 1 0 22<br />
MEDIUM HIGHER EDUC. 47 25 8 5 4 89<br />
LONG HIGHER EDUC. 79 32 9 7 4 131<br />
TOTAL 168 66 23 15 9 281<br />
Table 3.3.48: Distribution of the respondents by educational level gender according to their opinion about how problematic is the scenic at<br />
Bryggebro.<br />
Out of the Table 3.3.48, the SPSS calculated the Chi2 to be 13,169 with a degree of freedom (df) 20 and the missing<br />
values are 9. P is bigger than 0,250. Therefore, the variables are independent.<br />
TOTAL<br />
162 163
SOCIO-DEMOGRAPHICS AND OPINION ABOUT STREET DESIGN AS INFLUENTIAL FACTOR TO RIDE A BIKE<br />
NOT<br />
A BIT<br />
QUITE<br />
MAJOR<br />
PROBLEMATIC<br />
PROBLEMATIC PROBLEMATIC<br />
PROBLEMATIC PROBLEM<br />
TOTAL<br />
01-20 YEARS 3 1 1 1 0 6<br />
21-30 YEARS 40 19 1 4 2 66<br />
31-40 YEARS 53 24 8 4 3 92<br />
41-50 YEARS 41 12 7 1 1 62<br />
51-60 YEARS 23 8 4 3 1 39<br />
61-90 YEARS 6 2 2 2 2 14<br />
TOTAL 166 66 23 15 9 279<br />
Table 3.3.49: Distribution of the respondents by age groups according to their opinion about how problematic is the scenic at Bryggebro.<br />
Out of the Table 3.3.49, the SPSS calculated the Chi2 to be 21,015 with a degree of freedom (df) 20 and the missing<br />
values are 11. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT AT ALL NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
MAN 18 25 44 47 6 140<br />
FEMALE 13 32 39 48 11 143<br />
TOTAL 31 57 83 95 17 283<br />
Table 3.3.53: Distribution of respondents by gender according to their opinion about the importance of street design (lightning, pavement material,<br />
greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.3.53, the SPSS calculated the Chi2 to be 3,417 with a degree of freedom (df) 4 and the missing<br />
values are 7. P is bigger than 0,250. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND BIKING MORE OFTEN AFTER BRYGGEBRO`S OPENING<br />
YES NO TOTAL<br />
MALE 41 97 138<br />
FEMALE 45 97 142<br />
TOTAL 86 194 280<br />
Table 3.3.50: Distribution of the respondents by gender based on starting to<br />
ride a bike more often, or not, after the opening of Bryggebro.<br />
Out of the Table 3.3.50, the SPSS calculated the Chi2 to be 0,129 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
NOT AT ALL NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
PUBLIC SCHOOL 0 0 4 3 0 7<br />
VOCATIONAL EDUC. 0 3 9 8 0 20<br />
HIGH SCHOOL 3 2 4 2 1 12<br />
SHORT HIGHER EDUC. 4 6 5 6 2 23<br />
MEDIUM HIGHER<br />
EDUC.<br />
12 24 23 27 5 91<br />
LONG HIGHER EDUC. 12 22 38 50 9 131<br />
TOTAL 31 57 83 96 17 284<br />
Table 3.3.54: Distribution of respondents by educational level according to their opinion about the importance of street design (lightning, pavement<br />
material, greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.3.54, the SPSS calculated the Chi2 to be 21,286 with a degree of freedom (df) 20 and the missing<br />
values are 6. P is bigger than 0,250. Therefore, the variables are independent.<br />
YES NO TOTAL<br />
PUBLIC SCHOOL 5 3 8<br />
VOCATIONAL EDUC. 10 10 20<br />
HIGH SCHOOL 4 7 11<br />
SHORT HIGHER EDUC. 3 20 23<br />
MEDIUM HIGHER EDUC. 24 64 88<br />
LONG HIGHER EDUC. 40 91 131<br />
TOTAL 86 195 281<br />
Table 3.3.51: Distribution of the respondents by educational level based on<br />
starting to ride a bike more often, or not, after the opening of Bryggebro.<br />
Out of the Table 3.3.51, the SPSS calculated the Chi2 to be 11,346 with a degree of freedom (df) 5 and the missing<br />
values are 9. P is between 0,050 and 0,025, but close to 0,050. Therefore, the variables are dependent.<br />
NOT AT ALL<br />
NOT<br />
VERY<br />
NEUTRAL IMPORTANT<br />
IMPORTANT IMPORTANT<br />
IMPORTANT<br />
TOTAL<br />
01-20 YEARS 0 0 3 2 1 6<br />
21-30 YEARS 12 14 18 19 4 67<br />
31-40 YEARS 12 19 20 39 4 94<br />
41-50 YEARS 2 16 23 16 5 62<br />
51-60 YEARS 3 5 14 15 2 39<br />
61-90 YEARS 2 3 4 4 1 14<br />
TOTAL 31 57 82 95 17 282<br />
Table 3.3.55: Distribution of respondents by age groups according to their opinion about the importance of street design (lightning, pavement<br />
material, greenery, etc) in the decision to ride a bike.<br />
Out of the Table 3.3.55, the SPSS calculated the Chi2 to be 21,908 with a degree of freedom (df) 20 and the missing<br />
values are 8. P is bigger than 0,250. Therefore, the variables are independent.<br />
YES NO TOTAL<br />
01-20 YEARS 4 2 6<br />
21-30 YEARS 15 52 67<br />
31-40 YEARS 26 66 92<br />
41-50 YEARS 23 39 62<br />
51-60 YEARS 12 27 39<br />
61-90 YEARS 5 8 13<br />
TOTAL 85 194 279<br />
Table 3.3.52: Distribution of the respondents by age groups based on starting<br />
to ride a bike more often, or not, after the opening of Bryggebro.<br />
Out of the Table 3.3.52, the SPSS calculated the Chi2 to be 7,667 with a degree of freedom (df) 5 and the missing<br />
values are 11. P is between 0,250 and 0,100. Therefore, the variables are independent.<br />
SOCIO-DEMOGRAPHICS AND OPINION ABOUT BRYGGEBRO`S DESIGN SOLUTION<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
MALE 7 10 56 53 14 140<br />
FEMALE 3 10 49 68 17 144<br />
TOTAL 10 20 102 121 31 284<br />
Table 3.3.56: Distribution of respondents by gender according to their opinion about the street design solutions (lightning, pavement material,<br />
greenery, etc) used in Bryggebro.<br />
Out of the Table 3.3.56, the SPSS calculated the Chi2 to be 4,675 with a degree of freedom (df) 4 and the missing<br />
values are 6. P is bigger than 0,250. Therefore, the variables are independent.<br />
164 165
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
PUBLIC SCHOOL 0 1 2 3 2 8<br />
VOCATIONAL EDUC. 0 1 10 6 3 20<br />
HIGH SCHOOL 0 0 6 5 1 12<br />
SHORT HIGHER EDUC. 2 3 8 9 1 23<br />
MEDIUM HIGHER EDUC. 4 7 38 32 10 91<br />
LONG HIGHER EDUC. 5 8 38 66 14 131<br />
TOTAL 11 20 102 121 31 285<br />
Table 3.3.57: Distribution of respondents by educational level according to their opinion about the street design solutions (lightning, pavement<br />
material, greenery, etc) used in Bryggebro.<br />
Out of the Table 3.3.57, the SPSS calculated the Chi2 to be 17,047 with a degree of freedom (df) 20 and the missing<br />
values are 5. P is bigger than 0,250. Therefore, the variables are independent.<br />
VERY BAD BAD NEUTRAL GOOD VERY GOOD TOTAL<br />
01-20 YEARS 0 1 2 1 2 6<br />
21-30 YEARS 3 3 27 26 8 67<br />
31-40 YEARS 3 8 33 44 6 94<br />
41-50 YEARS 3 2 22 28 7 62<br />
51-60 YEARS 0 3 13 16 7 39<br />
61-90 YEARS 2 3 4 6 0 15<br />
TOTAL 11 20 101 121 30 283<br />
Table 3.3.58: Distribution of respondents by age groups according to their opinion about the street design solutions (lightning, pavement material,<br />
greenery, etc) used in Bryggebro.<br />
Out of the Table 3.3.58, the SPSS calculated the Chi2 to be 0,129 with a degree of freedom (df) 4 and the missing<br />
values are 10. P is bigger than 0,250. Therefore, the variables are independent.<br />
166 167
4.0 GENERAL COMPARISON<br />
AGE<br />
40%<br />
AGE<br />
MAIN PURPOSE FOR BIKING<br />
35%<br />
30%<br />
80%<br />
70%<br />
60%<br />
25%<br />
50%<br />
20%<br />
15%<br />
10%<br />
BRYGGEBROEN<br />
HANS BROGES GADE<br />
VESTERGADE<br />
40%<br />
30%<br />
20%<br />
10%<br />
Bryggebroen<br />
Hans Broges Gade<br />
Vestergade<br />
5%<br />
0%<br />
0%<br />
NO<br />
ANSWER<br />
00 - 10<br />
YEARS<br />
11 - 20<br />
YEARS<br />
21 - 30<br />
YEARS<br />
31 - 40<br />
YEARS<br />
41 - 50<br />
YEARS<br />
51 - 60<br />
YEARS<br />
61 - 70<br />
YEARS<br />
71 - 80<br />
YEARS<br />
81 - 90<br />
YEARS<br />
NO ANSWER<br />
TRANSPORTATION<br />
TO AND FROM<br />
WORK<br />
RECREATION /<br />
LEISURE<br />
VISIT FAMILY /<br />
FRIENDS<br />
PURCHASING /<br />
SHOPPING<br />
Figure 4.2: Distribution of the respondents in accordance to the main trip purpose when riding a bike at the infrastructure.<br />
TRANSPORTATION<br />
TO AND FROM<br />
SCHOOL<br />
OTHERS<br />
Figure 4.1: Distribution of the respondents by age<br />
In comparison to Hans Broges Gade and Vestergade<br />
Vest and Mageløs, respondents from Bryggebro have the<br />
highest average age with 32% of them between 31 and<br />
40 years old.<br />
The average age from the respondents can be related<br />
to their educational level. Respondents with the highest<br />
average age at Bryggebro also have a higher educational<br />
level – 77% of them have a medium or longer high education.<br />
GENDER<br />
The distribution of respondents by gender is very balanced<br />
in Bryggebro where 50% of the respondents are<br />
males and 49% are females. The other two infrastructures<br />
present a larger difference between males and females.<br />
In Hans Broges Gade, 52% of the respondents are male<br />
and 44% are female. Finally, 54% of the Vestergade Vest<br />
and Mageløs` respondents are male and 44% are female.<br />
There are several studies about gender and cycling behavior<br />
developed outside Denmark and the results highlight<br />
that gender has a predominant role over the individual<br />
decision to ride a bike (Moudona et al, 2005).<br />
However, the results from the three web surveys developed<br />
in this research indicate that there is not a significant<br />
relationship between gender and how often an individual<br />
ride a bike. One of the reasons that gender is not a predominant<br />
factor in Denmark could be that bike culture is<br />
so wide spread across the country.<br />
MAIN PURPOSE FOR BIKING<br />
Bryggebro has the largest amount of respondents riding<br />
their bikes for commuting purposes. Among Bryggebro`s<br />
respondents, 70% ride their bikes at Bryggebro to go to<br />
work and 8% to go to study.<br />
In contrast to Bryggebro, respondents from Vestergade<br />
Vest and Mageløs and Hans Broges Gade present a<br />
more balanced distribution of trip purpose when riding a<br />
bike at the infrastructures.<br />
39% of the respondents from Vestergade Vest and<br />
Mageløs have said they ride a bike mostly to go to work<br />
and 13% going to study. It is still a high percentage of<br />
commuters, but the infrastructure also has another representative<br />
amount of respondents (33%) riding their bikes<br />
to go to shopping.<br />
WALKING WITHOUT BIKE<br />
In regards to the frequency that respondents walk in the<br />
studied infrastructures, the results from Figure 4.3 highlights<br />
that Bryggebro has a different profile in comparison<br />
to Hans Broges Gade and Vestergade Vest and Mageløs.<br />
The built environment and uses where the infrastructures<br />
are located seems to have an influence in the use of<br />
them. Hans Broges Gade has the largest percentage of<br />
respondents (68%) living in a radius of 2 kilometres and<br />
the local residents both use the infrastructure for cycling<br />
and walking. On the other hand,<br />
Bryggebro is mainly used for commuting and the majority<br />
of the respondents live more than 2 kilometres from the<br />
infrastructure. Therefore, it seems that most of individuals<br />
that ride a bike in Bryggebro do not use the infrastructure<br />
for walking.<br />
168 169
70%<br />
WALK ING WITHOUT BIK E<br />
SATISFACTION WITH THE SITE<br />
60%<br />
SATISFACTION WITH THE SITE<br />
60%<br />
50%<br />
40%<br />
30%<br />
20%<br />
10%<br />
Bryggebroen<br />
Hans Broges Gade<br />
Vestergade<br />
50%<br />
40%<br />
30%<br />
20%<br />
10%<br />
Bryggebroen<br />
Hans Broges Gade<br />
Vestergade<br />
0%<br />
NO ANSWER 6-7 DAYS OF<br />
WEEK<br />
5 DAYS OF<br />
WEEK<br />
3-4 DAYS OF<br />
WEEK<br />
1-2 DAYS OF 1-3 DAYS OF<br />
WEEK MONTHS<br />
Figure 4.3: Distribution of the respondents in accordance to how often they ride a bike in the infrastructure.<br />
MORE<br />
RARELY<br />
0%<br />
NO ANSWER<br />
VERY<br />
DISSATISFIED<br />
DISSATISFIED NEUTRAL SATISFIED VERY<br />
SATISFIED<br />
Figure 4.4: Distribution of the respondents in accordance to their satisfaction with the infrastructure design solution.<br />
CYCLING MORE OFTEN AND QUALITY<br />
INFLUENCING TO BIKE MORE OFTEN<br />
Comparing the results from the three web surveys, the<br />
implementation of Bryggebro influenced the most quantity<br />
of respondents (30%) to start to ride a bike more often. In<br />
this context, it is important to take in consideration that the<br />
opening of Bryggebro created a new link between the two<br />
sides of Copenhagen harbor.<br />
When respondents who started to bike more often after<br />
the intervention were asked for their motivations, there<br />
was a different pattern of answers in the three infrastructures.<br />
45% of Bryggebros’ respondents said that fast connectivity<br />
was the main reason that made them to start to ride a<br />
bike more often. Moreover, 91% of Bryggebros respondents<br />
said to be satisfied with the design solution of the<br />
infrastructure in regards fast connectivity. However, only<br />
38% of respondents from Vestergade Vest and Mageløs<br />
were satisfied with it.<br />
Enhancing fast connectivity, Bryggebro has a dedicated<br />
high speed lane connecting the two sides of the harbor.<br />
On the other hand, Vestergade Vest and Mageløs function<br />
as a shared-used space where cyclists need to negotiate<br />
the space with other transport modes during most<br />
of the day.<br />
Despite the challenges faced by cyclists at Vestergade<br />
Vest and Mageløs, the majority of respondents that started<br />
to ride a bike more often after the intervention have<br />
mentioned fast connectivity as a main factor. And 33%<br />
of respondents were satisfied with the design solution in<br />
regards to fast connectivity.<br />
In the case of Hans Broges Gade, respondents that started<br />
to bike more often after the intervention had mentioned<br />
safety as the main reason.<br />
SATISFACTION WITH THE<br />
INFRASTRUCTURE<br />
While the rate of respondents from Bryggebro and Hans<br />
Broges Gade who were dissatisfied with the infrastructures<br />
was respectively 1% and 8%, the rate of Vestergade<br />
Vest and Mageløs respondents dissatisfied was much<br />
higher (14%).<br />
The different infrastructure typologies might have an influence<br />
in the result. Bryggebro and Hans Broges Gade<br />
design solutions segregated the different transport modes<br />
and present dedicated lanes for cyclists.<br />
The intervention in Vestergade Vest and Mageløs is<br />
based on the concept of shared-use space where there<br />
are no dedicated bike lanes and the cyclists need to ne-<br />
gotiate the space with pedestrians. The data collected<br />
from the count, local observation and newspapers articles<br />
indicate that Vestergade Vest and Mageløs function as<br />
a more challenging space, especially between 3pm and<br />
5pm were the there is a large amount of both cyclists and<br />
pedestrians sharing the same space.<br />
A shared-use space challenges the cyclists to learn how<br />
to negotiate their space with pedestrians and induces the<br />
cyclists to ride their bikes at a lower speed.<br />
In general, the satisfaction of the respondents about the<br />
design solution of the infrastructures in regards to safety,<br />
conflict between travel modes, aesthetics and parking are<br />
similar to their satisfaction with the overall design.<br />
SATISFACTION WITH DESIGN SOLUTION<br />
AS REGARDS SAFETY<br />
The majority of the respondents from Bryggebro and<br />
Hans Broges Gade were satisfied with the infrastructures<br />
design in regards to safety. However, 11% and 7% of the<br />
respondents respectively from Bryggebro and Hans Broges<br />
Gade were very unsatisfied with the infrastructures.<br />
At Vestergade Vest and Mageløs, half of the respondents<br />
were not satisfied with the infrastructure design in regards<br />
to safety. The negative response could be partially influenced<br />
by the profile of the infrastructure as a shared-use<br />
space. Vestergade Vest and Mageløs were not designed<br />
with dedicated bike lanes. It is a space where cyclists and<br />
pedestrians need to negotiate the space.<br />
LACK OF AWARENESS FOR THE SUR-<br />
ROUNDING CYCLISTS<br />
According to 87% of respondents from Vestergade Vest<br />
and Mageløs, the lack of awareness of pedestrians for<br />
cyclists is problematic.<br />
There is also a problem presented among Bryggebro`s<br />
respondents. 56 % of the respondents pointed out the<br />
lack of awareness of pedestrians for cyclists as a problem.<br />
Considering the design of the infrastructure and the<br />
field observation, the main problem might be the bridges<br />
gates that function as shared-use spaces.<br />
There is an abrupt rupture between the dedicated bike<br />
lanes at the bridge and the gates functioning as shareduse<br />
spaces. The cyclists ride their bikes faster at the dedicated<br />
lanes. But when they enter the shared-use space,<br />
they are forced to slow down the speed.<br />
170 171
RESIDENTIAL LOCATION OF RESPONDENTS<br />
RESIDENTIAL LOCATION OF BIKERS<br />
80%<br />
70%<br />
60%<br />
50%<br />
BIKING MORE OFTEN BIKING MORE AFTER OFTEN THE INTERVENTION?<br />
AFTER THE INTERVENTION?<br />
40%<br />
30%<br />
20%<br />
Byggebro<br />
Hans Broges Gade<br />
Vestergade Vest<br />
100%<br />
90%<br />
80%<br />
70%<br />
60%<br />
50%<br />
40%<br />
30%<br />
20%<br />
10%<br />
0%<br />
NO ANSWER YES NO<br />
Figure 4.5: Distribution of the respondents in accordance to biking more often after the opening of the infrastructure.<br />
CONFLICTS BETWEEN TRAVEL MODES<br />
78% of the respondents from Vestergade Vest and<br />
Mageløs have also mention to be unsatisfied with conflicts<br />
between travel modes.<br />
Vestergade Vest and Mageløs attract both cyclists and<br />
pedestrians who often have conflicting needs. At the<br />
shared-used space, cyclists need to slow down the velocity<br />
and be more aware of the surroundings. On the other<br />
hand, pedestrians are also affected by cyclists, who travel<br />
at higher speed and they also need to be more aware of<br />
the surroundings.<br />
However, the conflicts on shared-use spaces are especially<br />
significant for people who cannot react quickly to<br />
hazards, such as elderly cyclists or cyclists with children.<br />
To improve the shared-use spaces experience for all users,<br />
designers must be aware of potential conflicts and<br />
implement innovative design solutions.<br />
According to McMillen (2001), potential conflicts in<br />
shared-used spaces can be reduced by: providing information,<br />
especially signage, that clearly indicates permitted<br />
users and activities and ensuring that the space has<br />
sufficient width and an appropriate surface for everyone.<br />
SATISFACTION WITH AESTHETICS<br />
Bryggebroen<br />
Hans Broges Gade<br />
Vestergade<br />
82% of the respondents considered the design of Bryggebro<br />
to be good or very good. The infrastructure is iconic and it<br />
functions as a landmark in the harborscape. These characteristics<br />
probably make cyclists more aware of the aesthetic<br />
quality of the infrastructure. Being an icon in the habourscape,<br />
the aesthetic of the infrastructure is probably recognized by<br />
cyclists and assumed as part of the city identity.<br />
ILLEGALLY PARKED BIKES<br />
More than half of the respondents (51%) from Vestergade<br />
Vest and Mageløs are dissatisfied with illegally parked bikes.<br />
The infrastructure concentrates a large amount of commercial<br />
establishments and the current amount of bike racks are<br />
not enough.<br />
In the case of Hans Broges Gade, 19% of the respondents<br />
were dissatisfied with illegally parked bikes. The infrastructure<br />
does not have bike racks and all the bikes are just<br />
parked next to the facades. There is not a large concentration<br />
of bikes, but during the field observation there were several<br />
local residents complaining about bikes parked next to their<br />
facades.<br />
10%<br />
0%<br />
0 km - 1<br />
km<br />
1 km - 2<br />
km<br />
2 km - 3<br />
km<br />
3 km - 4<br />
km<br />
4 km - 5<br />
km<br />
5 km - 10<br />
km<br />
10 km -<br />
15 km<br />
Figure 4.6: Distribution of the respondents in accordance to the distance from their residence to the infrastructure.<br />
The spatial distribution of the residential location of the<br />
respondents suggests how far cyclists ride their bikes on<br />
their daily trips. In all the three cases, more than 80%<br />
of the respondents live less than 4 kilometres from the<br />
infrastructure where they were riding a bike. On the other<br />
hand, less than 5% of the respondents live more than 5<br />
kilometres away from the infrastructure where they were<br />
riding a bike.<br />
Hans Broges Gade has the highest concentration of respondents<br />
living within a 1 km radius (68%), while Bryggebro<br />
has the lowest (33%). These figures could be related<br />
to the profile of the infrastructures and their location.<br />
Bryggebro is a strategic commuting link in Copenhagen<br />
harbor and it could be seen as an in-between zone infrastructure<br />
– not having a neighborhood based character.<br />
Being part of the bike Holme corridor, Hans Broges Gade<br />
also functions as a commuting infrastructure. However, it<br />
has a much stronger neighborhood based character than<br />
Bryggebro.<br />
15 km -<br />
20 km<br />
20 km <<br />
RELATION BETWEEN SOCIO-DEMO-<br />
GRAPHICS AND THE WEB-SURVEY AN-<br />
SWERS<br />
At the three infrastructures, the findings highlight a relationship<br />
between socio-demographics and trip purpose<br />
when riding a bicycle.<br />
Despite distinct typologies and surroundings, the statistical<br />
treatment of the collected data using the Chi2 presented<br />
a strong similarity. The majority of the Chi2 test<br />
results indicated that socio-demographic factors would<br />
not be related to the individuals answers in regards to the<br />
design characteristics and satisfaction.<br />
Neither was it possible to establish a relationship between<br />
socio-demographic variables and the relevance of design<br />
characteristics nor the satisfaction with the infrastructures.<br />
One of the possible motives to the independency between<br />
socio-demographic factors and the respondents<br />
answers is the high level of subjectivity of the questions<br />
which deals with satisfaction and perception.<br />
172 173
5.0 CONCLUSION<br />
The decision to use a web survey and flyers as main<br />
method to collect data had both advantages and disadvantages.<br />
The data was efficiently transferred to the data<br />
basis and the distribution of flyers was an efficient mode<br />
to contact cyclists without interrupting the flow of traffic.<br />
On the other hand, the web survey based questionnaire<br />
did not allow for a very comprehensive questionnaire.<br />
Therefore, we had a limited number of questions.<br />
In the three case studies, the majority of respondents answered<br />
that they ride a bike in their respectively infrastructures<br />
with the main purpose to go to work. The result indicates<br />
that different typologies or a conjugation of typologies<br />
can be efficiently used for commuting. What seems to be<br />
important is how fast the infrastructure connects the cyclists<br />
and how safe it is to ride a bike in the infrastructure.<br />
The study aimed to give an overview in regards to what<br />
design characteristics would be relevant to individuals’<br />
decision to ride a bike. The quantitative analysis – mainly<br />
used in this study – provided indications of possible relevant<br />
design factors and also relations between sociodemographic<br />
factors and how design characteristics influence<br />
the individual decision to ride a bike.<br />
The findings highlight important factors as such the relevance<br />
of fast connectivity and safety for cyclists. The<br />
results suggest that both fast connectivity and safety are<br />
strategic dimensions of a design solution that must be<br />
taken in consideration by architects, planners and engineers.<br />
Based on the comparison between the three case studies,<br />
the shared-used space seems to present more challenges<br />
for the cyclists who need to ride their bikes and,<br />
at the same time, negotiate their space with pedestrians.<br />
Shared-use spaces are not common in Denmark, but they<br />
can be an alternative way to create more lively cities enhancing<br />
a variety of experiences.<br />
The findings indicate that purpose-built bicycle-only facilities<br />
are perceived by cyclists as safer environments to<br />
ride a bike.<br />
The three studied typologies have both advantages and<br />
disadvantages and there is not one better than another.<br />
When deciding to implement or improve a bike infrastructure,<br />
the particular qualities and potentials of each typology<br />
should be analyzed in order to decide what kind of bike<br />
infrastructure would be appropriate to be implemented.<br />
Figure 5.1: Cyclists and pedestrians at Vestergade Vest.<br />
174 175
REFERENCES<br />
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including health effects related to cycling and walking: A systematic review. In: Transporty Policy.<br />
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Copenhagen Municipality (2009a) Samfundsøkonomiske analyser af cykeltiltag - metode og cases.<br />
Copenhagen Municipality (2009b) COPENHAGEN’S GREEN ACCOUNTS.<br />
Copenhagen Municipality (2010a) Grønne cykelruter. In: http://kk.dk/Borger/ByOgTrafik/CyklernesBy/KonkreteProjekter/OevrigeProjekter/GroenneCykelruter.aspx<br />
Copenhagen Municipality (2010b) Cykeltal. In:<br />
http://kk.dk/Borger/ByOgTrafik/CyklernesBy/VidenOgTal/Cykeltal.aspx<br />
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Copenhagen Municipality (2010e) Indvielse. In:<br />
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COWI, Copenhagen Municipality (2009) Samfundsøkonomiske analyser afcykeltiltag - metode og cases.<br />
COWI (2010) Brygge Bridge, swing bridge in the harbour of Copenhagen.<br />
CPHX (2009) FIRST BRIDGE IN 50 YEARS. In:<br />
http://www.cphx.dk/index.php?language=uk#/29190/<br />
Danske kommuner (2009) Danske kommuner nyhedsmagasinet. In:<br />
http://www.danskekommuner.dk/<br />
Denzin, N. (1978) The Research Act, 2nd ed. New York: McGraw<br />
Dissing+Weitling (2010) Bryggebroen. In:<br />
http://www.dw.dk/dk/projekter/bryggebroen.aspx<br />
Fyens stiftstidende (2010a) 200 busser forsvinder søndag fra centrum – Karsten Hüttel – Fyens Stiftstidende 30.07.2010<br />
Fyens Stiftstidende (2010b) Kaos plager ny gågade – Rune H. Blickfeldt – Fyens Stiftstidende 13.09.2010<br />
Fyens Stiftstidende (2010c) Cyklerne Skal ud af gågaden – Esben Seerup - Fyens Stiftstidende 15.09.2010<br />
Gonzalez-Bañales, D.; Adam, M. (2007) Web Survey Design and Implementation: Best Practices for Empirical Research.<br />
In: Proceedings of European and Mediterranean Conference on Information Systems 2007 (EMCIS2007),<br />
Polytechnic University of Valencia, Spain.<br />
Gordon-Larsen, P.; Boone-Heinonen, J.; Sidney, S., Sternfeld, B.; Jacobs, R.; Lewis, C. (2009) Active commuting and<br />
cardiovascular disease risk. In: Arch Intern Med<br />
Grontmij- Carlbro (2010) BRYGGEBRO OVER SYDHAVNEN KLAR TIL BRUG. In:<br />
http://www.grontmij-carlbro.com/da/Menu/Aktuelt/Nyheder/BryggebroSydhavnen.htm<br />
Landis, B.; Vattikuti, V.; Brannick, M. (1997) Real Time Human Perceptions: Towards a Bicycle Level of Service. Transportation<br />
Research Record, Washington DC.<br />
Lindström, M. (2008) Means of transportation to work and overweight and obesity. A population-based study in southern<br />
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Lozar, K. (2001) Web survey errors. Ph.D. dissertation. Ljubljana : Faculty of Social Sciences, University of Ljubljana.<br />
Manfreda, K.; Batagelj, Z.; Vehovar, V. (2002) Design of Web Survey Questionnaires: Three Basic Experiments. In:<br />
Journal of Computer-Mediated Communication.<br />
McMillen; B. (2001) Designing Sidewalks and Trails for Access. Best Practices Design Guide.<br />
Noël, N.; Leclerc, C.; Lee-Gosselin, M. (2003) CRC INDEX: Compatibility of Roads for Cyclists in Rural and Urban<br />
Fringe Areas. Compendium of Papers CD-ROM of the 82nd Annual Meeting of the Transportation Research Board,<br />
Washington DC.<br />
Odense Municipality (2010a) Cyklisternes By - Cykelstier. In: http://www.odense.dk/web4/cyklisternesby/service/cykelstier.aspx<br />
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http://www.odense.dk/home/Presse/Pressemeddelelser/Pressemeddelelser/Pressemeddelelser%202010/<br />
Odense%20modtager%20Vejprisen%202010.aspx<br />
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http://www.odense.dk/web4/cyklisternesby/cycle%20city%20odense/expo%202010.aspx<br />
Odense Municipality (2010e) Flere cykeltællere i Odense. In:<br />
http://www.odense.dk/WEB4/CyklisternesBy/Det%20sker/NyhederNy/Flere%20cykeltaellere%20i%20Odense.aspx<br />
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LIST OF figures<br />
1.0 INTRODUCTION<br />
Figure 1.1: Cyclist riding his bike at Bryggebro.<br />
2.0 METHODOLOGY<br />
Figure 2.1: Location of the cities from the three case studies<br />
Figure 2.2: Print scream view from the Vestergade Vest`s questionnaire<br />
Figure 2.3: Flyer distributed to individuals who were riding a bike at Vestergade Vest and Mageløs on 2nd<br />
of September 2010.<br />
Figure 2.4: Member of research team delivering flyers to cyclists at Vestergade Vest and Mageløs on<br />
September 14th 2010.<br />
3.1 VESTERGADE VEST AND MAGELØS<br />
Figure 3.1.1: Geographical location of Odense.<br />
Figure 3.1.2: Distribution of the trips by transport modes within Odense Municipality from 1998 until 2008.<br />
Figure 3.1.3: Map of the main bike tracks and lanes in Odense`s inner city.<br />
Figure 3.1.4: Ortophoto of Vestergade Vest and Mageløs.<br />
Figure 3.1.5: Article with the title “Bicycles must be out of pedestrian streets”, published on 15th of September<br />
in the newspaper Fyens Stiftstidende.<br />
Figure 3.1.6: Article with the title “Chaos in the pedestrian streets”, published on 15th of September in the<br />
newspaper Fyens Stiftstidende (Fyens Stiftstidende, 2010b).<br />
Figure 3.1.7: View of Vestergade Vest from the 10th of May 2010.<br />
Figure 3.1.8: View of Vestergade Vest from the 2nd of September 2010.<br />
Figure 3.1.9: Draft of the design concept of Vestegade Vest and Mogeløs.<br />
Figure 3.1.10: Section and plan of Vestergade Vest and Mageløs.<br />
Figure 3.1.11: Pavement material<br />
Figure 3.1.12: Speed hump at Vestergade Vest.<br />
Figure 3.1.13: Cyclist avoiding speed hump.<br />
Figure 3.1.14: Blue plastic guides at Vestergade Vest.<br />
Figure 3.1.15: Speed hump.<br />
Figure 3.1.16: Cargo trucks.<br />
Figure 3.1.17: <strong>Bike</strong>s and moterized vehicles.<br />
Figure 3.1.18: <strong>Bike</strong> parking racks.<br />
Figure 3.1.19: <strong>Bike</strong> parking racks.<br />
Figure 3.1.20: Parked bikes in front of shops.<br />
Figure 3.1.21: Parked bikes in front of shops.<br />
Figure 3.1.22: Trees and landscaping design.<br />
Figure 3.1.23: Trees and landscaping design.<br />
Figure 3.1.24: Street games painted in the pavement.<br />
Figure 3.1.25: Layout of the streetscape.<br />
Figure 3.1.26: Street furniture.<br />
Figure 3.1.27: Street lights.<br />
Figure 3.1.28: Shop signs.<br />
Figure 3.1.29: Signage dictating rules about how to use this space.<br />
Figure 3.1.30: Playful sign informing transportation modes allowed .<br />
Figure 3.1.31: Signage designed to look old.<br />
Figure 3.1.32: Painted words in the pavement.<br />
Figure 3.1.33: Crossing point paved with cobblestones.<br />
Figure 3.1.34: Intersection between Vestergade Vest and Mageløs.<br />
Figure 3.1.35: Built environment around Vestergade Vest and Mageløs.<br />
Figure 3.1.36: Cyclists counting and traffic flow at Vestergade Vest and Mageløs.<br />
Figure 3.1.37: Spatial distribution of the respondents according to their residential location – 5km map.<br />
Figure 3.1.38: Spatial distribution of the respondents according to their residential location – 20km map.<br />
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Figure 3.1.39: Distribution of the respondents by age groups.<br />
Figure 3.1.40: Distribution of the respondents by gender.<br />
Figure 3.1.41: Distribution of the respondents by educational level.<br />
Figure 3.1.42: Distribution of the respondents by the frequency they ride a bicycle at Vestergade Vest<br />
and Mageløs.<br />
Figure 3.1.43: Distribution of the respondents by the frequency they walk at Vestergade Vest and<br />
Mageløs.<br />
Figure 3.1.44: Distribution of the respondents according to the main trip purpose when riding a bike at<br />
Vestergade Vest and Mageløs.<br />
Figure 3.1.45:Distribution of the respondents by the frequency they ride a bike in Vestergade Vest<br />
and Mageløs for the main purpose mentioned in the Figure 3.1.44 after the intervention in the site.<br />
Figure 3.1.46:Distribution of the respondents by the level of satisfaction with the design of Vestergade<br />
Vest and Mageløs.<br />
Figure 3.1.47: Distribution of the respondents according to their opinion about how the Vestergade<br />
Vest`s design fulfilled the bicyclist safety aspect.<br />
Figure 3.1.48: Distribution of the respondents according to their opinion about how the Vestergade<br />
Vest`s design fulfilled the fast conectivity.<br />
Figure 3.1.49: Distribution of the respondents according to their opinion about how the Vestergade<br />
Vest`s design fulfilled the aesthetics aspect.<br />
Figure 3.1.50: Distribution of the respondents according to their opinion about how problematic illegal<br />
parking of bicycles is at Vestergade Vest and Mageløs.<br />
Figure 3.1.51: Distribution of the respondents according to their opinion about how problematic is the<br />
conflict between different transport modes at Vestergade Vest and Mageløs.<br />
Figure 3.1.52: Distribution of the respondents according to their opinion about how problematic is the<br />
existence of obstacles against the cyclists at Vestergade Vest and Mageløs.<br />
Figure 3.1.53: Distribution of the respondents according to their opinion about how problematic is the<br />
pavement at Vestergade Vest and Mageløs.<br />
Figure 3.1.54: Distribution of the respondents according to their opinion about how problematic is the<br />
existence of cracks and ramps is at Vestergade Vest and Mageløs.<br />
Figure 3.1.55: Distribution of the respondents according to their opinion about how problematic the<br />
lack of awareness of pedestrians and motorized vehicle drivers is for people riding a bike at Vestergade<br />
Vest and Mageløs.<br />
Figure 3.1.56: Distribution of the respondents according to their opinion about how problematic signposting<br />
and its interpretation is at Vestergade Vest and Mageløs.<br />
Figure 3.1.57: Distribution of the respondents according to their opinion about how problematic scenic<br />
and greenery is at Vestergade Vest and Mageløs.<br />
Figure 3.1.58: Distribution of the respondents based on starting to ride a bike more often, or not, after<br />
the intervention at Vestergade Vest and Mageløs.<br />
Figure 3.1.59: Among the respondents that said yes in the previous question (Figure 3.1.58), what<br />
qualities has influenced their choice to ride a bike more often after the intervention in Vestergade Vest<br />
and Mageløs. The respondents could choice more than one option.<br />
Figure 3.1.60: Distribution of respondents according to their opinion about the importance of street<br />
design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Figure 3.1.61: Distribution of respondents according to their opinion about the street design solutions<br />
(lightning, pavement material, greenery, etc) used in the intervention at Vestergade Vest and<br />
Mageløs.<br />
Figure 3.1.62: Vestergade Vest streetscape.<br />
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3.2 HANS BROGES GADE<br />
Figure 3.2.1: Geographical location of Aarhus.<br />
Figure 3.2.2: Print screen of Aarhus Bicycle City webpage - ww.aarhuscykelby.dk<br />
Figure 3.2.3: Automatic cyclist count at Hans Broges Gade.<br />
Figure 3.2.4: Aarhus City Hall square transformed in a the “bicycle`s Mecca”. Event promoted by the Aarhus<br />
Bicycle City on the 10th of April 2010.<br />
Figure 3.2.5: Aarhus City Hall square transformed in a the “bicycle`s Mecca”. Event promoted by the Aarhus<br />
Bicycle City on the 10th of April 2010.<br />
Figure 3.2.6: The seven main bicycle connections between the core of Aarhus and suburbs. Source:<br />
Cykelhandlingsplan – En plan for fremtidens cyklist forhold i Århus Kommune<br />
Figure 3.2.7: The bicycle network of Aarhus municipality.<br />
Figure 3.2.8: Ortophoto of Hans Broges Gade<br />
Figure 3.2.9: Hans Broges Gade view before intervention in September 2009.<br />
Figure 3.2.10: Hans Broges Gade view after the intervention in September 2010.<br />
Figure 3.2.11: Hans Broges Gade bike path<br />
Figure 3.2.12: Traffic calming at crossing<br />
Figure 3.2.13: Technical drawings from Hans Broges Gade<br />
Figure 3.2.14: Hans Broges Gade section<br />
Figure 3.2.15: Hans Broges Gade plan<br />
Figure 3.2.16: Crossing at Hans Broges Gade<br />
Figure 3.2.17: <strong>Bike</strong> path and sidewalk.<br />
Figure 3.2.18: Crossing section<br />
Figure 3.2.19: Hierarchy of transport modes<br />
Figure 3.2.20: Individual riding his bike at a high speed<br />
Figure 3.2.21: Cyclist riding down road while entering the bike lane<br />
Figure 3.2.22: Cyclist slowing down at the crossing<br />
Figure 3.2.23: Two individuals riding their bikes next to each other and talking<br />
Figure 3.2.24: Car parking at Hans Broges Gade<br />
Figure 3.2.25: Biking and car parking<br />
Figure 3.2.26: Hans Broges Gade plan<br />
Figure 3.2.27: Greenery at Hans Broges Gade<br />
Figure 3.2.28: Front garden at Hans Broges Gade.<br />
Figure 3.2.29: Tietgens Square<br />
Figure 3.2.30: Bench at Tietgens Square<br />
Figure 3.2.31: Street lamp<br />
Figure 3.2.32: Statue in honor to Hans Broge<br />
Figure 3.2.33: Cyclist counting meter<br />
Figure 3.2.34: <strong>Bike</strong> signage<br />
Figure 3.2.35: Car covering bike signage<br />
Figure 3.2.36: Car covering bike signage<br />
Figure 3.2.37: <strong>Bike</strong> symbol located on the bike path curve and intersection<br />
Figure 3.2.38: <strong>Bike</strong> signage and ramp covered and cyclist crossing in an alternative way<br />
Figure 3.2.39: Sequency of images of a cyclist crossing the street in an inappropriate way<br />
Figure 3.2.40: Cyclist riding his bike in the car lane<br />
Figure 3.2.41: Cyclist riding his bike in the sidewalk.<br />
Figure 3.2.42: Cyclists entering from the suburbs<br />
Figure 3.2.43: Entrance from the city centre<br />
Figure 3.2.44: Built environment at Hans Broges Gade<br />
Figure 3.2.45: Cyclist counting at Hans Broges Gade<br />
Figure 3.2.46: Spatial distribution of the respondents according to their residential location – 5km map<br />
Figure 3.2.47: Spatial distribution of the respondents according to their residential location - 20km map<br />
Figure 3.2.48: Distribution of the respondents by age groups.<br />
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Figure 3.2.49: Distribution of the respondents by gender<br />
Figure 3.2.50: Distribution of the respondents by educational level.<br />
Figure 3.2.51: Distribution of the respondents by the frequency they ride a bicycle at Hans Broges<br />
Gade.<br />
Figure 3.2.52: Distribution of the respondents by the frequency they walk at Hans Broges Gade.<br />
Figure 3.2.53: Distribution of the respondents by main trip purpose when riding a bike in Hans Broges<br />
Gade.<br />
Figure 3.2.54: Distribution of the respondents by the frequency they ride a bike in Hans Broges Gade<br />
for the main purpose mentioned in the Figure 3.2.53, after the intervention in Hans Broges Gade.<br />
Figure 3.2.55: Distribution of the respondents by the level of satisfaction with the design of Hans Broges<br />
Gade.<br />
Figure 3.2.56: Distribution of the respondents according to their opinion about how the Hans Broges<br />
Gade’s design fulfilled the bicyclist safety aspect.<br />
Figure 3.2.57: Distribution of the respondents according to their opinion about how the Hans Broges<br />
Gade’s design fulfilled the fast connectivity.<br />
Figure 3.2.58: Distribution of the respondents according to their opinion about how the Hans Broges<br />
Gade’s design fulfilled the aesthetics aspect.<br />
Figure 3.2.59: Distribution of the respondents according to their opinion about how problematic illegal<br />
parking of bicycles is at Hans Broges Gade.<br />
Figure 3.2.60: Distribution of the respondents according to their opinion about how problematic is the<br />
conflict between different transport modes at Hans Broges Gade.<br />
Figure 3.2.61: Distribution of the respondents according to their opinion about how problematic is the<br />
existence of obstacles against the cyclists at Hans Broges Gade.<br />
Figure 3.2.62: Distribution of the respondents according to their opinion about how problematic is the<br />
pavement at Hans Broges Gade.<br />
Figure 3.2.63: Distribution of the respondents according to their opinion about how problematic is the<br />
existence of cracks in ramps and intersections at Hans Broges Gade.<br />
Figure 3.2.64: Distribution of the respondents according to their opinion about how problematic is the<br />
lack of awareness of pedestrians for people riding a bike at Hans Broges Gade<br />
Figure 3.2.65: Distribution of the respondents according to their opinion about how problematic is scenic<br />
and greenery at Hans Broges Gade.<br />
Figure 3.2.66: Distribution of the respondents according to their opinion about how problematic is<br />
signposting and its interpretation at Hans Broges Gade.<br />
Figure 3.2.67: Distribution of the respondents based on starting to ride a bike more often, or not, after<br />
the intervention at Hans Broges Gade.<br />
Figure 3.2.68: Among the respondents that said yes in the previous question (Figure 3.2.67), what<br />
qualities has influenced their choice to ride a bike more often after the intervention in Hans Broges<br />
Gade. The respondents could choose more than one option.<br />
Figure 3.2.69: Distribution of respondents according to their opinion about the importance of street<br />
design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Figure 3.2.70: Distribution of respondents according to their opinion about the street design solutions<br />
(lightning, pavement material, greenery, etc) used in the intervention at Hans Broges Gade.<br />
Figure 3.2.71: Cyclists meter at Hans Broges Gade<br />
3.3 BRYGGEBRO<br />
Figure 3.3.1: Geographical location of Copenhagen.<br />
Figure 3.3.2: Distribution of trips according to transportation mode within Copenhagen municipality<br />
from 1998 until 2008.<br />
Figure 3.3.3: Publication with general information about bicycling in Copenhagen, history and targets<br />
for the future.<br />
Figure 3.3.4: Logo of the campaign Ibikecph<br />
Figure 3.3.5: Cyclists and pedestrians crossing Bryggebro bike bridge<br />
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Figure 3.3.6: Copenhagen Bicycle Network<br />
Figure 3.3.7: The four bridges of Copenhagen Harbour.<br />
Figure 3.3.8: Bryggebro opening on the 14th of September.<br />
Figure 3.3.9: Image of Bryggebro from Islands Brygge side of the harbour.<br />
Figure 3.3.10: View of Havneholmen from Bryggebro<br />
Figure 3.3.11: Access to Bryggebro from Havneholmen<br />
Figure 3.3.12: View of Bryggerbro from Island Brygge the Havneholmen side<br />
Figure 3.3.13: Havneholmen and Bryggebro in the background<br />
Figure 3.3.14: Bryggebro in the foreground and Islands Brygge in the background<br />
Figure 3.3.15: Plan and Section of Bryggebro<br />
Figure 3.3.16: Elevation of the bridge seen from the side and Cross section of the bridge. The pedestrian<br />
side on the left and cyclist on the right separated by a 60cm high 1.2 metres wide girder.<br />
Figure 3.3.17: Bryggebro section<br />
Figure 3.3.18: Bryggebro plan<br />
Figure 3.3.19: Access to Bryggebro from Islands Brygge<br />
Figure 3.3.20: Access to Bryggebro from Islands Brygge side<br />
Figure 3.3.21: Islands Brygge promenade<br />
Figure 3.3.22: Access to Bryggebro Havneholmen<br />
Figure 3.3.23: Access to Bryggebro from Havneholmen side<br />
Figure 3.3.24: Hierarchy between transport modes<br />
Figure 3.3.25: Bryggebro plan and representation of transport mode conflicts<br />
Figure 3.3.26: Joggers and cyclists crossing<br />
Figure 3.3.27: Cyclists riding fast out of the exit of the bridge<br />
Figure 3.3.28: Walkers have to pay attention from fast moving cyclists exiting<br />
Figure 3.3.29: A stray bike parked nearby the bridge<br />
Figure 3.3.30: <strong>Bike</strong>s parked under stairs<br />
Figure 3.3.31: Bryggebro illumination<br />
Figure 3.3.32: Bryggebro illumination<br />
Figure 3.3.33: Lamp post<br />
Figure 3.3.34: Bridge exit the night<br />
Figure 3.3.35: Cyclist has wrongly entered into the pedestrian lane.<br />
Figure 3.3.36: Access from Islands Brygge side<br />
Figure 3.3.37: Bryggebro access from Havneholmen<br />
Figure 3.3.38: Damaged sign<br />
Figure 3.3.39: Graffiti at Bryggebro<br />
Figure 3.3.40: Graffiti at Bryggebro<br />
Figure 3.3.41: Love padlocks<br />
Figure 3.3.42: Love padlocks<br />
Figure 3.3.43: Love padlocks<br />
Figure 3.3.44: Love padlocks<br />
Figure 3.3.45: Love padlocks<br />
Figure 3.3.46: Intersection at Islands Brygge.<br />
Figure 3.3.47: Intersection at Havneholmen.<br />
Figure 3.3.48: Bryggebro’s access at Islands Brygge side.<br />
Figure 3.3.49: Bryggebro’s access at Islands Brygge side.<br />
Figure 3.3.50: Bryggebro’s access at Islands Brygge side.<br />
Figure 3.3.51: Cyclists on the smooth paved lanes.<br />
Figure 3.3.52: Pavement detail fron Islands Brygge side.<br />
Figure 3.3.53: Privately owned parking lot.<br />
Figure 3.3.54: <strong>Bike</strong> route linking to the staircases.<br />
Figure 3.3.55: Longer bike route avoiding staircases.<br />
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Figure 3.3.56: Bryggebro entering from the Havneholmen si<br />
Figure 3.3.57: Foot bridge to make the trip shorter.<br />
Figure 3.3.58: Cyclists pushing their bikes up the stairs.<br />
Figure 3.3.59: Built environment surrounding Bryggebro on the Islands Brygge side.<br />
Figure 3.3.60: Cyclist countings.<br />
Figure 3.3.61: Spatial distribution of the respondents according to their residential location – 5km<br />
map.<br />
Figure 3.3.62: Spatial distribution of the respondents according to their residential location – 20km<br />
Figure 3.3.63: Distribution of the respondents by age groups.<br />
Figure 3.3.64: Distribution of the respondents by gender.<br />
Figure 3.3.65: Distribution of the respondents by educational level.<br />
Figure 3.3.66: Distribution of the respondents by the frequency they ride a bicycle at Bryggebro<br />
Figure 3.3.67: Distribution of the respondents by the frequency they walk at Bryggebro.<br />
Figure 3.3.68: Distribution of the respondents by main trip purpose when riding a bike in Bryggebro.<br />
Figure 3.3.69: Distribution of the respondents by the frequency they ride a bike in Bryggebro for the<br />
main purpose mentioned in the Figure 3.3.68 after Bryggebro’s opening.<br />
Figure 3.3.70: Distribution of the respondents by the level of satisfaction with Bryggebro’s design.<br />
Figure 3.3.71: Distribution of the respondents according to their opinion about how the Bryggebro`s<br />
design fulfilled the bicyclist safety aspect.<br />
Figure 3.3.72: Distribution of the respondents according to their opinion about how the Bryggebro`s<br />
design fulfilled the fast connectivity.<br />
Figure 3.3.73: Distribution of the respondents according to their opinion about how the Bryggebro`s<br />
design fulfilled the aesthetics aspect.<br />
Figure 3.3.74: Distribution of the respondents according to their opinion about how problematic illegal<br />
parking of bicycles is at Bryggebro.<br />
Figure 3.3.75: Distribution of the respondents according to their opinion about how problematic is the<br />
conflict between different transport modes at Bryggebro’s accesses.<br />
Figure 3.3.76: Distribution of the respondents according to their opinion about how problematic is the<br />
existence of obstacles against cyclists at Bryggebro.<br />
Figure 3.3.77: Distribution of the respondents according to their opinion about how problematic is the<br />
pavement at Bryggebro.<br />
Figure 3.3.78: Distribution of the respondents according to their opinion about how problematic the<br />
existence of cracks in ramps and intersections is at Bryggebro.<br />
Figure 3.3.79: Distribution of the respondents according to their opinion about how problematic is the<br />
lack of awareness of pedestrians for people riding a bike at Bryggebro.<br />
Figure 3.3.80: Distribution of the respondents according to their opinion about how problematic is<br />
signposting and its interpretation at Bryggebro.<br />
Figure 3.3.81: Distribution of the respondents according to their opinion about how problematic is the<br />
scenic at Bryggebro.<br />
Figure 3.3.82: Distribution of the respondents based on starting to ride a bike more often, or not, after<br />
the opening of Bryggebro.<br />
Figure 3.3.83: Among the respondents that said yes in the previous question (Figure 3.3.82), what<br />
qualities has influenced their choice to ride a bike more often after the opening of Bryggebro. The<br />
respondents could choice more than one option.<br />
Figure 3.3.84: Distribution of respondents according to their opinion about the importance of street<br />
design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Figure 3.3.85: Distribution of respondents according to their opinion about the street design solutions<br />
(lightning, pavement material, greenery, etc) used in Bryggebro.<br />
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4.0 GENERAL COMPARISON<br />
Figure 4.1: Distribution of the respondents by age.<br />
Figure 4.2: Distribution of the respondents in accordance to the main trip purpose when riding a bike at<br />
the infrastructure.<br />
Figure 4.3: Distribution of the respondents in accordance to how often they ride a bike in the infrastructure.<br />
Figure 4.4: Distribution of the respondents in accordance to their satisfaction with the infrastructure design<br />
solution.<br />
Figure 4.5: Distribution of the respondents in accordance to biking more often after the opening of the<br />
infrastructure.<br />
Figure 4.6: Distribution of the respondents in accordance to the distance from their residence to the infrastructure.<br />
5.0 CONCLUSION<br />
Figure 5.1: Cyclists and pedestrians at Vestergade Vest.<br />
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LIST OF tables<br />
2.0 METHODOLOGY<br />
Table 2.1: Date of flyers distribution, web survey opening and web survey closing for the three case<br />
studies.<br />
Table 2.2: Number of bike trips, cyclists, web flyers handed and a number of respondents for the<br />
three case studies<br />
3.1 VESTERGADE VEST AND MAGELØS<br />
Table 3.1.1: Absolute and percentage distribution of respondents according to the distance of their<br />
residential location from Vestergade Vest and Mageløs.<br />
Table 3.1.2: Distribution of the respondents by gender according to the frequency they ride a bicycle<br />
at Vestergade Vest and Mageløs.<br />
Table 3.1.3: Distribution of the respondents by educational level according to the frequency they ride<br />
a bicycle at Vestergade Vest and Mageløs.<br />
Table 3.1.4 Distribution of the respondents by age groups according to the frequency they ride a bicycle<br />
at Vestergade Vest and Mageløs.<br />
Table 3.1.5: Distribution of the respondents by gender according to the frequency they walk at Vestergade<br />
Vest and Mageløs.<br />
Table 3.1.6: Distribution of the respondents by educational level according to the frequency they walk<br />
at Vestergede Vest and Mageløs.<br />
Table 3.1.7: Distribution of the respondents by age groups according to the frequency they walk at<br />
Vestergade Vest and Mageløs.<br />
Table 3.1.8: Distribution of the respondents by gender according to the main trip purpose when riding<br />
a bike at Vestergade Vest and Mageløs.<br />
Table 3.1.9: Distribution of the respondents by educational level according to the main trip purpose<br />
when riding a bike at Vestergade Vest and Mageløs.<br />
Table 3.1.10: Distribution of the respondents by age groups according to the main trip purpose when<br />
riding a bike at Vestergade Vest and Mageløs.<br />
Table 3.1.11: Distribution of the respondents by gender according to the frequency they ride a bike at<br />
Vestergade Vest for the main purpose mentioned in the Figure 3.1.44, after the intervention at Vestergade<br />
Vest and Mageløs.<br />
Table 3.1.12: Distribution of the respondents by educational level according to the frequency they ride<br />
a bike at Vestergade Vest for the main purpose mentioned in the Figure 3.1.44, after the intervention<br />
at Vestergade Vest.<br />
Table 3.1.13: Distribution of the respondents by age groups according to the frequency they ride a<br />
bike at Vestergade Vest for the main purpose mentioned in the Figure 3.1.44, after the intervention at<br />
Vestergade Vest.<br />
Table 3.1.14: Distribution of the respondents by gender according to the level of satisfaction with the<br />
design of Vestergade Vest and Mageløs.<br />
Table 3.1.15: Distribution of the respondents by educational level according to the level of satisfaction<br />
with the design of Vestergade Vest and Mageløs.<br />
Table 3.1.16: Distribution of the respondents by age groups according to the level of satisfaction with<br />
the design of Vestergade Vest and Mageløs.<br />
Table 3.1.17: Distribution of the respondents by gender according to their opinion about how the<br />
Vestergade Vest`s and Mageløs design fulfilled the cyclists safety aspect.<br />
Table 3.1.18: Distribution of the respondents by educational level according to their opinion about how<br />
the Vestergade Vest`s and Mageløs design fulfilled the cyclists safety aspect.<br />
Table 3.1.19: Distribution of the respondents by age group according to their opinion about how the<br />
Vestergade Vest`s and Mageløs design fulfilled the cyclists safety aspect.<br />
Table 3.1.20: Distribution of the respondents by gender according to their opinion about how the<br />
Vestergade Vest`s and Mageløs design fulfilled the fast connectivity.<br />
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186 187
Table 3.1.21: Distribution of the respondents by educational level according to their opinion about how<br />
the Vestergade Vest and Mageløs design fulfilled the fast connectivity.<br />
Table 3.1.22: Distribution of the respondents by age according to their opinion about how the Vestergade<br />
Vest and Mageløs design fulfilled the fast connectivity.<br />
Table 3.1.23: Distribution of the respondents by gender according to their opinion about how the Vestergade<br />
Vest and Mageløs design fulfilled the aesthetics aspect<br />
Table 3.1.24: Distribution of the respondents by educational level according to their opinion about how<br />
the Vestergade Vest and Mageløs design fulfilled the aesthetics aspect.<br />
Table 3.1.25: Distribution of the respondents by age groups according to their opinion about how the<br />
Vestergade Vest and Mageløs design fulfilled the aesthetics aspect.<br />
Table 3.1.26: Distribution of the respondents by gender according to their opinion about how problematic<br />
illegal parking of bicycles is at Vestergade Vest and Mageløs.<br />
Table 3.1.27: Distribution of the respondents by educational level according to their opinion about how<br />
problematic illegal parking of bicycles is at Vestergade Vest and Mageløs.<br />
Table 3.1.28: Distribution of the respondents by age groups according to their opinion about how problematic<br />
illegal parking of bicycles is at Vestergade Vest and Mageløs.<br />
Table 3.1.29: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the conflict between different transport modes at Vestergade Vest and Mageløs.<br />
Table 3.1.30: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the conflict between different transport modes at Vestergade Vest and Mageløs.<br />
Table 3.1.31: Distribution of the respondents by age groups according to their opinion about how problematic<br />
is the conflict between different transport modes at Vestergade Vest and Mageløs.<br />
Table 3.1.32: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the existence of obstacles against the cyclists at Vestergade Vest and Mageløs.<br />
Table 3.1.33: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the existence of obstacles against the cyclists at Vestergade Vest and Mageløs.<br />
Table 3.1.34: Distribution of the respondents by age groups according to their opinion about how problematic<br />
is the existence of obstacles against the cyclists at Vestergade Vest and Mageløs.<br />
Table 3.1.35: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the pavement at Vestergade Vest and Mageløs.<br />
Table 3.1.36: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the pavement at Vestergade Vest and Mageløs.<br />
Table 3.1.37: Distribution of the respondents by age groups according to their opinion about how problematic<br />
is the pavement at Vestergade Vest and Mageløs.<br />
Table 3.1.38: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the existence of cracks in ramps and interesections at Vestergade Vest and Mageløs.<br />
Table 3.1.39: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the existence of cracks in ramps and intersecitons at Vestergade Vest and Mageløs.<br />
Table 3.1.40: Distribution of the respondents by age groups according to their opinion about how problematic<br />
is the existence of cracks in ramps and intersections at Vestergade Vest and Mageløs.<br />
Table 3.1.41: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the lack of awareness of pedestrians and motorized vehicle drivers for people riding a bike at Vestergade<br />
Vest and Mageløs.<br />
Table 3.1.42: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the lack of awareness of pedestrians and motorized vehicle drivers for people riding a bike<br />
at Vestergade Vest and Mageløs.<br />
Table 3.1.43: Distribution of the respondents by age groups according to their opinion about how problematic<br />
is the lack of awareness of pedestrians and motorized vehicle drivers for people riding a bike at<br />
Vestergade Vest and Mageløs.<br />
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Table 3.1.44: Distribution of the respondents by gender according to their opinion about how problematic<br />
is signposting and its interpretation at Vestergade Vest and Mageløs.<br />
Table 3.1.45: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is signposting and its interpretation at Vestergade Vest and Mageløs.<br />
Table 3.1.46: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is signposting and its interpretation at Vestergade Vest and Mageløs.<br />
Table 3.1.47: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the scenic at Vestergade Vest and Mageløs.<br />
able 3.1.48: Distribution of the respondents by educational level gender according to their opinion<br />
about how problematic is the scenic at Vestergade Vest and Mageløs.<br />
Table 3.1.49: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the scenic at Vestergade Vest and Mageløs.<br />
Table 3.1.50: Distribution of the respondents by gender based on starting to ride a bike more often, or<br />
not, after the opening of Vestergade Vest and Mageløs.<br />
Table 3.1.51: Distribution of the respondents by educational level based on starting to ride a bike<br />
more often, or not, after the opening of Vestergade Vest and Mageløs.<br />
Table 3.1.52: Distribution of the respondents by age groups based on starting to ride a bike more often,<br />
or not, after the opening of Vestergade Vest and Mageløs.<br />
Table 3.1.53: Distribution of respondents by gender according to their opinion about the importance of<br />
street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.1.54: Distribution of respondents by educational level according to their opinion about the<br />
importance of street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.1.55: Distribution of respondents by age groups according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.1.56: Distribution of respondents by gender according to their opinion about the street design<br />
solutions (lightning, pavement material, greenery, etc) used in Vestergade Vest and Mageløs.<br />
Table 3.1.57: Distribution of respondents by educational level according to their opinion about the<br />
street design solutions (lightning, pavement material, greenery, etc) used in Vestergade Vest and<br />
Mageløs.<br />
Table 3.1.58: Distribution of respondents by age groups according to their opinion about the street<br />
design solutions (lightning, pavement material, greenery, etc) used in Vestergade Vest and Mageløs.<br />
3.2 HANS BROGES GADE<br />
Table 3.2.1: Absolute and percentage distribution of respondents according to the distance of their<br />
residential location from Hans Broges Gade.<br />
Table 3.2.2: Distribution of the respondents by gender according to the frequency they ride a bicycle<br />
at Hans Broges Gade.<br />
Table 3.2.3: Distribution of the respondents by educational level according to the frequency they ride<br />
a bicycle at Hans Broges Gade.<br />
Table 3.2.4 Distribution of the respondents by age groups according to the frequency they ride a bicycle<br />
at Hans Broges Gade.<br />
Table 3.2.5: Distribution of the respondents by gender according to the frequency they walk at Hans<br />
Broges Gade<br />
Table 3.2.6: Distribution of the respondents by educational level according to the frequency they walk<br />
at Hans Broges Gade<br />
Table 3.2.7: Distribution of the respondents by age groups according to the frequency they walk at<br />
Hans Broges Gade<br />
Table 3.2.8: Distribution of the respondents by gender according to the main trip purpose when riding<br />
a bike in Hans Broges Gade.<br />
Table 3.2.9: Distribution of the respondents by educational level according to the main trip purpose<br />
when riding a bike in Hans Broges Gade.<br />
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62<br />
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98<br />
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Table 3.2.10: Distribution of the respondents by age groups according to the main trip purpose when riding<br />
a bike in Hans Broges Gade.<br />
Table 3.2.11: Distribution of the respondents by gender according to the frequency they ride a bike in<br />
Hans Broges Gade for the main purpose mentioned in the Figure 3.2.53, after the intervention in Hans<br />
Broges Gade.<br />
Table 3.2.12: Distribution of the respondents by educational level according to the frequency they ride a<br />
bike in Hans Broges Gade for the main purpose mentioned in the Figure 3.2.53, after the intervention in<br />
Hans Broges Gade<br />
Table 3.2.13: Distribution of the respondents by age groups according to the frequency they ride a bike<br />
in Hans Broges Gade for the main purpose mentioned in the Figure 3.2.53, after the intervention in Hans<br />
Broges Gade.<br />
Table 3.2.14: Distribution of the respondents by gender according to the level of satisfaction with the design<br />
of Hans Broges Gade<br />
Table 3.2.15: Distribution of the respondents by educational level according to the level of satisfaction<br />
with the design of Hans Broges Gade.<br />
Table 3.2.16: Distribution of the respondents by age groups according to the level of satisfaction with the<br />
design of Hans Broges Gade.<br />
Table 3.2.17: Distribution of the respondents by gender according to their opinion about how the Hans<br />
Broges Gade’s design fulfilled the bicyclist safety aspect.<br />
Table 3.2.18: Distribution of the respondents by educational level according to their opinion about how<br />
the Hans Broges Gade’s design fulfilled the bicyclist safety aspect.<br />
Table 3.2.19: Distribution of the respondents by age group according to their opinion about how the Hans<br />
Broges Gade’s design fulfilled the bicyclist safety aspect.<br />
Table 3.2.20: Distribution of the respondents by gender according to their opinion about how the Hans<br />
Broges Gade’s design fulfilled the fast connectivity.<br />
Table 3.2.21: Distribution of the respondents by educational level according to their opinion about how<br />
the Hans Broges Gade’s design fulfilled the fast connectivity.<br />
Table 3.2.22: Distribution of the respondents by age groups according to their opinion about how the<br />
Hans Broges Gade’s design fulfilled the fast connectivity.<br />
Table 3.2.23: Distribution of the respondents by gender according to their opinion about how the Hans<br />
Broges Gade’s design fulfilled the aesthetics aspect.<br />
Table 3.2.24: Distribution of the respondents by educational level according to their opinion about how<br />
the Hans Broges Gade’s design fulfilled the aesthetics aspect.<br />
Table 3.2.25: Distribution of the respondents by age groups according to their opinion about how the<br />
Hans Broges Gade’s design fulfilled the aesthetics aspect<br />
Table 3.2.26: Distribution of the respondents by gender according to their opinion about how problematic<br />
illegal parking of bicycles is at Hans Broges Gade.<br />
Table 3.2.27: Distribution of the respondents by educational level according to their opinion about how<br />
problematic illegal parking of bicycles is at Hans Broges Gade.<br />
Table 3.2.28: Distribution of the respondents by age groups according to their opinion about how problematic<br />
illegal parking of bicycles is at Hans Broges Gade.<br />
Table 3.2.29: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the conflict between different transport modes at Hans Broges Gade.<br />
Table 3.2.30: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the conflict between different transport modes at Hans Broges Gade.<br />
Table 3.3.31: Distribution of the respondents by age groups according to their opinion about how problematic<br />
is the conflict between different transport modes at Hans Broges Gade.<br />
Table 3.3.32: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the existence of obstacles against the cyclists at Hans Broges Gade.<br />
98<br />
98<br />
98<br />
99<br />
99<br />
99<br />
99<br />
100<br />
100<br />
100<br />
100<br />
101<br />
101<br />
101<br />
101<br />
102<br />
102<br />
102<br />
102<br />
103<br />
103<br />
103<br />
103<br />
Table 3.2.33: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the existence of obstacles against the cyclists at Hans Broges Gade.<br />
Table 3.2.34: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the existence of obstacles against the cyclists at Hans Broges Gade.<br />
Table 3.2.35: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the pavement at Hans Broges Gade.<br />
Table 3.2.36: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the pavement at Hans Broges Gade.<br />
Table 3.2.37: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the pavement at Hans Broges Gadet.<br />
Table 3.2.38: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the existence of cracks in ramps and intersections at Hans Broges Gade<br />
Table 3.2.39: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the existence of cracks in ramps and intersections at Hans Broges Gade.<br />
Table 3.2.40: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the existence of cracks in ramps and intersections at Hans Broges Gade.<br />
Table 3.2.41: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the lack of awareness of pedestrians and motorized vehicle drivers for people riding a bike at<br />
Hans Broges Gade.<br />
Table 3.2.42: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the lack of awareness of pedestrians and motorized vehicle drivers for people riding a<br />
bike at Hans Broges Gade.<br />
Table 3.2.43: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the lack of awareness of pedestrians and motorized vehicle drivers for people riding a<br />
bike at Hans Broges Gade.<br />
Table 3.2.44: Distribution of the respondents by gender according to their opinion about how problematic<br />
is signposting and its interpretation at Hans Broges Gade.<br />
Table 3.2.45: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is signposting and its interpretation at Hans Broges Gade.<br />
Table 3.2.46: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is signposting and its interpretation at Hans Broges Gade.<br />
Table 3.2.47: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the scenic at Hans Broges Gade<br />
Table 3.2.48: Distribution of the respondents by educational level gender according to their opinion<br />
about how problematic is the scenic at Hans Broges Gade<br />
Table 3.2.49: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the scenic at Hans Broges Gade<br />
Table 3.2.50: Distribution of the respondents by gender based on starting to ride a bike more often, or<br />
not, after the opening of Hans Broges Gade<br />
Table 3.2.51: Distribution of the respondents by educational level based on starting to ride a bike<br />
more often, or not, after the opening of Hans Broges Gade<br />
Table 3.2.52: Distribution of the respondents by age groups based on starting to ride a bike more often,<br />
or not, after the opening of Hans Broges Gade<br />
Table 3.2.53: Distribution of respondents by gender according to their opinion about the importance of<br />
street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.2.54 Distribution of respondents by educational level according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.2.55: Distribution of respondents by age groups according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.2.56: Distribution of respondents by gender according to their opinion about the street design<br />
solutions (lightning, pavement material, greenery, etc) used in Hans Broges Gade.<br />
104<br />
104<br />
104<br />
104<br />
105<br />
105<br />
105<br />
105<br />
106<br />
106<br />
106<br />
106<br />
107<br />
107<br />
107<br />
107<br />
108<br />
108<br />
108<br />
108<br />
109<br />
109<br />
109<br />
109<br />
190 191
Table 3.2.57: Distribution of respondents by educational level according to their opinion about the street<br />
design solutions (lightning, pavement material, greenery, etc) used in Hans Broges Gade.<br />
Table 3.2.58: Distribution of respondents by age groups according to their opinion about the street design<br />
solutions (lightning, pavement material, greenery, etc) used in Hans Broges Gade.<br />
3.3 BRYGGEBRO<br />
Table 3.3.1: Absolute and percentage distribution of respondents according to the distance of their residential<br />
location from Bryggebro.<br />
Table 3.2.2: Distribution of the respondents by gender according to the frequency they ride a bicycle at<br />
Bryggebro.<br />
Table 3.3.3: Distribution of the respondents by educational level according to the frequency they ride a<br />
bicycle at Bryggebro.<br />
Table 3.3.4 Distribution of the respondents by age groups according to the frequency they ride a bicycle<br />
at Bryggebro.<br />
Table 3.3.5: Distribution of the respondents by gender according to the frequency they walk at Bryggebro<br />
Table 3.3.6: Distribution of the respondents by educational level according to the frequency they walk at<br />
Bryggebro<br />
Table 3.3.7: Distribution of the respondents by age groups according to the frequency they walk at<br />
Bryggebro<br />
Table 3.3.8: Distribution of the respondents by gender according to the main trip purpose when riding a<br />
bike in Bryggebro.<br />
Table 3.3.9: Distribution of the respondents by educational level according to the main trip purpose when<br />
riding a bike in Bryggebro.<br />
Table 3.3.10: Distribution of the respondents by age groups according to the main trip purpose when riding<br />
a bike in Bryggebro.<br />
Table 3.3.11: Distribution of the respondents by gender according to the frequency they ride a bike in<br />
Bryggebro for the main purpose mentioned in the Figure 3.3.68, after the intervention in Bryggebro.<br />
Table 3.3.12: Distribution of the respondents by educational level according to the frequency they ride a<br />
bike in Bryggebro for the main purpose mentioned in the Figure 3.3.68, after the intervention in Bryggebro<br />
Table 3.3.13: Distribution of the respondents by age groups according to the frequency they ride a bike in<br />
Bryggebro for the main purpose mentioned in the Figure 3.3.68, after the intervention in Bryggebro.<br />
Table 3.3.14: Distribution of the respondents by gender according to the level of satisfaction with the design<br />
of Bryggebro.<br />
Table 3.3.15: Distribution of the respondents by educational level according to the level of satisfaction<br />
with the design of Bryggebro.<br />
Table 3.3.16: Distribution of the respondents by age groups according to the level of satisfaction with the<br />
design of Bryggebro.<br />
Table 3.3.17: Distribution of the respondents by gender according to their opinion about how the Bryggebro’s<br />
design fulfilled the bicyclist safety aspect.<br />
Table 3.3.18: Distribution of the respondents by educational level according to their opinion about how<br />
the Bryggebro’s design fulfilled the bicyclist safety aspect.<br />
Table 3.3.19: Distribution of the respondents by age group according to their opinion about how the<br />
Bryggebro’s design fulfilled the bicyclist safety aspect.<br />
Table 3.3.20: Distribution of the respondents by gender according to their opinion about how the Bryggebro’s<br />
design fulfilled the fast connectivity.<br />
Table 3.3.21: Distribution of the respondents by educational level according to their opinion about how<br />
the Bryggebro’s design fulfilled the fast connectivity.<br />
Table 3.3.22: Distribution of the respondents by age groups according to their opinion about how the<br />
110<br />
110<br />
143<br />
152<br />
152<br />
152<br />
153<br />
153<br />
153<br />
153<br />
153<br />
154<br />
154<br />
154<br />
154<br />
155<br />
155<br />
155<br />
156<br />
156<br />
156<br />
156<br />
157<br />
157<br />
Bryggebro’s design fulfilled the fast connectivity.<br />
Table 3.3.23: Distribution of the respondents by gender according to their opinion about how the<br />
Bryggebro’s design fulfilled the aesthetics aspect.<br />
Table 3.3.24: Distribution of the respondents by educational level according to their opinion about how<br />
the Bryggebro’s design fulfilled the aesthetics aspect.<br />
Table 3.3.25: Distribution of the respondents by age groups according to their opinion about how the<br />
Bryggebro’s design fulfilled the aesthetics aspect.<br />
Table 3.3.26: Distribution of the respondents by gender according to their opinion about how problematic<br />
illegal parking of bicycles is at Bryggebro.<br />
Table 3.3.27: Distribution of the respondents by educational level according to their opinion about how<br />
problematic illegal parking of bicycles is at Bryggebro.<br />
Table 3.3.28: Distribution of the respondents by age groups according to their opinion about how<br />
problematic illegal parking of bicycles is at Bryggebro.<br />
Table 3.3.29: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the conflict between different transport modes at Bryggebro.<br />
Table 3.3.30: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the conflict between different transport modes at Bryggebro.<br />
Table 3.3.31: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the conflict between different transport modes at Bryggebro.<br />
Table 3.3.32: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the existence of obstacles against the cyclists at Bryggebro.<br />
Table 3.3.33: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the existence of obstacles against the cyclists at Bryggebro.<br />
Table 3.3.34: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the existence of obstacles against the cyclists at Bryggebro.<br />
Table 3.3.35: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the pavement at Bryggebro.<br />
Table 3.3.36: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the pavement at Bryggebro.<br />
Table 3.3.37: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the pavement at Bryggebro.<br />
Table 3.3.38: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the existence of cracks and ramps at Bryggebro<br />
Table 3.3.39: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the existence of cracks in ramps and intersections is at Bryggebro.<br />
Table 3.3.40: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the existence of cracks in ramps and intersections is at Bryggebro.<br />
Table 3.3.41: Distribution of the respondents by gender according to their opinion about how problematic<br />
is the lack of awareness of pedestrians for people riding a bike at Bryggebro.<br />
Table 3.3.42: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is the lack of awareness of pedestrians for people riding a bike at Bryggebro.<br />
Table 3.3.43: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is the lack of awareness of pedestrians for people riding a bike at Bryggebro.<br />
Table 3.3.44: Distribution of the respondents by gender according to their opinion about how problematic<br />
is signposting and its interpretation at Bryggebro.<br />
Table 3.3.45: Distribution of the respondents by educational level according to their opinion about how<br />
problematic is signposting and its interpretation at Bryggebro.<br />
Table 3.3.46: Distribution of the respondents by age groups according to their opinion about how<br />
problematic is signposting and its interpretation at Bryggebro.<br />
Table 3.3.47: Distribution of the respondents by gender according to their opinion about how problem-<br />
157<br />
157<br />
158<br />
158<br />
158<br />
158<br />
159<br />
159<br />
159<br />
159<br />
160<br />
160<br />
160<br />
160<br />
161<br />
161<br />
161<br />
161<br />
162<br />
162<br />
162<br />
162<br />
163<br />
163<br />
163<br />
192 193
Table 3.3.48: Distribution of the respondents by educational level gender according to their opinion about<br />
how problematic is the scenic at Bryggebro<br />
Table 3.3.49: Distribution of the respondents by age groups according to their opinion about how problematic<br />
is the scenic at Bryggebro.<br />
Table 3.3.50: Distribution of the respondents by gender based on starting to ride a bike more often, or<br />
not, after the opening of Bryggebro.<br />
Table 3.3.51: Distribution of the respondents by educational level based on starting to ride a bike more<br />
often, or not, after the opening of Bryggebro.<br />
Table 3.3.52: Distribution of the respondents by age groups based on starting to ride a bike more often,<br />
or not, after the opening of Bryggebro.<br />
Table 3.3.53: Distribution of respondents by gender according to their opinion about the importance of<br />
street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.3.54: Distribution of respondents by educational level according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.3.55: Distribution of respondents by age groups according to their opinion about the importance<br />
of street design (lightning, pavement material, greenery, etc) in the decision to ride a bike.<br />
Table 3.3.56: Distribution of respondents by gender according to their opinion about the street design<br />
solutions (lightning, pavement material, greenery, etc) used in Bryggebro.<br />
Table 3.3.57: Distribution of respondents by educational level according to their opinion about the street<br />
design solutions (lightning, pavement material, greenery, etc) used in Bryggebro.<br />
Table 3.3.58: Distribution of respondents by age groups according to their opinion about the street design<br />
solutions (lightning, pavement material, greenery, etc) used in Bryggebro.<br />
163<br />
164<br />
164<br />
164<br />
164<br />
165<br />
165<br />
165<br />
165<br />
166<br />
166<br />
194 195
FLYER DELIVERED TO CYCLISTS<br />
ANNEX<br />
SVAR PÅ SPØRGSMÅLENE<br />
VIND EN NY CYKEL<br />
ØNSKER DU EN<br />
BEDRE CYKELBY?<br />
VI ER MIDT I ET FORSKNINGSPROJEKT OM CYKELBYEN OG<br />
MANGLER NETOP DIN HJÆLP TIL AT FORBEDRE DEN.<br />
DET GØR DU VED AT SVARE PÅ FÅ SPØRGSMÅL PÅ:<br />
www.detmangfoldigebyrum.dk/hansbrogesgade/<br />
For yderligere information om projektet:<br />
vsil@create.aau.dk<br />
SVAR PÅ SPØRGSMÅLENE<br />
VIND EN NY CYKEL<br />
ØNSKER DU EN BED-<br />
VI ER MIDT I ET FORSKNINGSPROJEKT OM CYKELBYEN OG MANGLER NETOP<br />
DIN HJÆLP TIL AT FORBEDRE DEN.<br />
DET GØR DU VED AT SVARE PÅ FÅ SPØRGSMÅL PÅ:<br />
WWW.SURVEY-CYKEL.DK<br />
BRYGGEBROEN<br />
For yderligere information om projektet:<br />
SVAR PÅ SPØRGSMÅLENE<br />
VIND EN NY CYKEL<br />
ØNSKER DU EN<br />
BEDRE CYKELBY?<br />
VI ER MIDT I ET FORSKNINGSPROJEKT OM CYKELBYEN OG<br />
MANGLER NETOP DIN HJÆLP TIL AT FORBEDRE DEN.<br />
DET GØR DU VED AT SVARE PÅ FÅ SPØRGSMÅL PÅ:<br />
www.detmangfoldigebyrum.dk/vestergade/<br />
VESTERGADE VEST & MAGELØS<br />
For yderligere information om projektet:<br />
vsil@create.aau.dk<br />
196 197
SURVEY ACCESSED ON THE WEBSITE<br />
DO YOU WISH A<br />
BETTER CITY FOR<br />
CYCLING?<br />
We are in the middle of a research project<br />
about cycling in the city and need your help.<br />
The only thing you have to do is answer a few<br />
questions. Answer now and you have the<br />
chance to win a new bike valued at 3500<br />
DKK. The entries will be drawn on the 31th of October 2010 with the<br />
winner contacted by e-mail.<br />
For further information about the project you can contract vsil@create.aau.dk<br />
01 Home address<br />
02 Email address<br />
03 Age<br />
04 Gender<br />
Male<br />
Female<br />
05 Level of education<br />
Primary school<br />
Vocational education<br />
High school<br />
Short high education<br />
Medium high education<br />
Long high education<br />
06 How often do you ride a bicycle at Hans<br />
Broges Gade?<br />
6-7 days of week<br />
5 days of week<br />
3-4 days of week<br />
1-2 days of week<br />
1-3 days of months<br />
More rarely<br />
07 How often do you walk at Hans Broges<br />
Gade?<br />
6-7 days of week<br />
5 days of week<br />
3-4 days of week<br />
1-2 days of week<br />
1-3 days of months<br />
More rarely<br />
08 What is your main purpose at Hans Broges<br />
Gade?<br />
Transportation to and from work<br />
Recreation / leisure<br />
Visiting family / friends<br />
Purchasing / shopping<br />
Transportation to and from school<br />
Others<br />
198 199
09 How often do you use the bike for the<br />
purpose in question 08 after the opening of<br />
Hans Broges Gade?<br />
More rarely<br />
Not as often<br />
Just as often as before<br />
More often<br />
Much more often<br />
10 How satisfied are you with Hans Broges<br />
Gade?<br />
Very dissatisfied<br />
Dissatisfied<br />
Neutral<br />
Satisfied<br />
Very satisfied<br />
11 How do you think the design solution has<br />
fulfilled the following parameters of the<br />
infrastructure?<br />
Safety Very bad Bad Neutral Good Very good<br />
Fast connection Very bad Bad Neutral Good Very good<br />
Aesthetics / beauty Very bad Bad Neutral Good Very good<br />
12 Evaluate how problematic the following<br />
situations are when cycling at Hans Broges<br />
Gade?<br />
Illegally parked bicycles<br />
Not<br />
problematic<br />
A bit<br />
problematic<br />
Problematic<br />
Quite<br />
problematic<br />
Major<br />
problem<br />
Conflicts between bicycle<br />
paths, sidewalks and<br />
traffic lane<br />
Obstacles<br />
Holes in the pavement<br />
Cracks in ramps and<br />
where different path and<br />
roads meet<br />
Lack of awareness from<br />
other biking people<br />
biking<br />
Poor signposting and<br />
interpretation<br />
Lack of scenic and<br />
greenery<br />
Not<br />
problematic<br />
Not<br />
problematic<br />
Not<br />
problematic<br />
Not<br />
problematic<br />
Not<br />
problematic<br />
Not<br />
problematic<br />
Not<br />
problematic<br />
A bit<br />
problematic<br />
A bit<br />
problematic<br />
A bit<br />
problematic<br />
A bit<br />
problematic<br />
A bit<br />
problematic<br />
A bit<br />
problematic<br />
A bit<br />
problematic<br />
Problematic<br />
Problematic<br />
Problematic<br />
Problematic<br />
Problematic<br />
Problematic<br />
Problematic<br />
Quite<br />
problematic<br />
Quite<br />
problematic<br />
Quite<br />
problematic<br />
Quite<br />
problematic<br />
Quite<br />
problematic<br />
Quite<br />
problematic<br />
Quite<br />
problematic<br />
Major<br />
problem<br />
Major<br />
problem<br />
Major<br />
problem<br />
Major<br />
problem<br />
Major<br />
problem<br />
Major<br />
problem<br />
Major<br />
problem<br />
13 Are you biking more often after the opening<br />
of Hans Broges Gade?<br />
Yes<br />
No<br />
14 If yes, what are the main qualities about<br />
Hans Broges Gade that have affected your<br />
choice to bike more often?<br />
Safety<br />
A good experience<br />
Faster connection<br />
Wider bike lanes<br />
Greener areas<br />
Faster bike lanes<br />
Green wedge<br />
Attractive landscape<br />
200 201
Better signposting<br />
<strong>Bike</strong> maps<br />
Maintenance of bike lanes<br />
<strong>Bike</strong> parking<br />
15 How important is street design (greenery,<br />
lightning, pavement etc.) for your decision to<br />
ride here?<br />
Not at all important<br />
Not important<br />
Neutral<br />
Important<br />
Very important<br />
Thank you for answering this questionnaire.<br />
Please, push the bottom below to end.<br />
16 What is your opinion about Hans Broges<br />
Gade design solution (greenery, lightning,<br />
pavement etc.)?<br />
Very bad<br />
bad<br />
Neutral<br />
Good<br />
Very good<br />
17 Would you like to add any comments to this<br />
questionnaire?<br />
202 203
SECTION THREE: THE DUTCH REFERENCE<br />
STUDY<br />
CASES OF INTERVENTIONS IN BICYCLE INFRASTRUCTURE<br />
REVIEWED IN THE FRAMEWORK OF BIKEABILITY<br />
Kees van Goeverden<br />
Tom Godefrooij
CONTENTS<br />
1.0 INTRODUCTION<br />
2.0 DEVELOPMENTS IN CYCLING IN THE NETERLANDS<br />
3.0 THE DEMOSTRATION PROJECTS IN TILBURG AND THE HAGUE<br />
3.1 POLITICAL CONTEXT<br />
3.2 THE ROUTE DESIGNS<br />
3.2.1 TILBURG<br />
3.2.2 THE HAGUE<br />
3.3 ORGANISATION AND IMPLEMENTATION<br />
3.3.1 TILBURG<br />
5<br />
7<br />
11<br />
11<br />
12<br />
12<br />
13<br />
16<br />
16<br />
5 SHARED SPACE IN HAREN<br />
5.1 DESIGN<br />
5.2 Organisation and implementation<br />
5.3 Evaluation<br />
5.3.1 Use of shared space<br />
5.3.2 Safety<br />
5.3.3 Perception of shared space<br />
5.3.4 Economy<br />
5.3.5 Conclusion<br />
59<br />
59<br />
59<br />
59<br />
60<br />
60<br />
61<br />
61<br />
61<br />
3.3.2 THE HAGUE<br />
16<br />
3.4 THE COSTS<br />
3.5 SET-UP OF THE EVALUATIONSTUDIES<br />
3.6 THE IMPACTS<br />
3.6.1 BICYCLE USE<br />
17<br />
17<br />
18<br />
18<br />
6 Bicycle street in Haarlem<br />
6.1 Design<br />
6.2 Evaluation<br />
63<br />
63<br />
63<br />
3.6.2 ROAD SAFETY<br />
3.6.3 PERCEPTION OF CYCLING QUALITY<br />
3.6.4 DESIGN ASPECTS<br />
3.6.5 ECONOMY<br />
3.7 DISCUSSION<br />
4.0 THE DELF BICYCLE PLAN<br />
19<br />
20<br />
22<br />
26<br />
26<br />
29<br />
7 Interurban highway for cyclists<br />
7.1 Context<br />
7.2 Design<br />
7.3 Organisation and implementation<br />
7.4 The costs<br />
7.5 Evaluation<br />
67<br />
67<br />
67<br />
67<br />
67<br />
67<br />
4.1 POLITICAL CONTEXT<br />
4.2 DESIGN<br />
4.2.1 THE NETWORK<br />
4.2.2 THE PROJECTS<br />
29<br />
30<br />
30<br />
30<br />
8 Synthesis of Dutch findings and implementation in<br />
other countries<br />
8.1 Conclusions<br />
69<br />
69<br />
4.3 ORGANISATION AND IMPLEMENTATION<br />
31<br />
4.4 THE COSTS<br />
32<br />
4.5 ONE SINGLE PROJECT: THE PLANTAGEBRUG<br />
33<br />
4.6 SET-UP OF THE EVALUATION STUDIES<br />
34<br />
4.7 THE IMPACTS OF THE UPGRADING THE NETWORK<br />
35<br />
4.7.1 TRAVEL BEHAVIOUR<br />
35<br />
4.7.2 SAFETY<br />
46<br />
4.7.3 PERCEPTION OF CYCLING QUALITY<br />
48<br />
4.7.4 ECONOMY<br />
50<br />
4.8 THE IMPACTS OF BUILDING THE PLANTAGEBRUG<br />
50<br />
4.8.1 POTENTIAL OF THE BRIDGE<br />
51<br />
4.9 DISCUSSION<br />
55
1 INTRODUCTION<br />
Increased transition of person transport from automobiles<br />
to bicycles is generally regarded as gain for society,<br />
most profoundly in terms of reduced emission and enhanced<br />
public health. However, in Denmark a decrease<br />
in mode-share of cycling has been observed, leading to<br />
the conclusion by the Danish Government that the conditions<br />
for cycling must be enhanced to increase the use<br />
of the bicycle for transportation. She launched the <strong>Bike</strong>ability<br />
research project that departs from this conclusion<br />
and focuses on the preconditions for cycling; the possible<br />
effects of changes of the urban environment and<br />
cycling infrastructure; and methodologies for assessment<br />
of changes to existing bicycling infrastructure based on<br />
micro-level spatially explicit data. This way the strategic<br />
focus of the project is how to enhance bike-ability of urban<br />
areas.<br />
It is the overall objective of the project to increase the<br />
level of knowledge in relation to bicycle based transport<br />
and thereby to contribute to more efficient and qualified<br />
urban planning and management. The project activities<br />
are divided into 5 interrelated workpackages (WP’s):<br />
WP1: Cycling behaviour and its preconditions will analyse<br />
the determinants for cycling behaviour of individuals,<br />
such as motives, lifestyles, opportunities and constraints.<br />
WP2: Environmental determinants for bike-ability will link<br />
GIS data with objective and subjective measures of cycling<br />
in relation to the conditions of selected neighbourhoods<br />
to develop a validated bike-ability index tailored to<br />
the Danish urban context, but applicable in other regions.<br />
This report describes the Dutch cases that are studied in<br />
the context of WP4. The Netherlands have a long tradition<br />
of high bicycle usage, bicycle promotion by policy makers,<br />
and research in the field of cycling. Cycling experience,<br />
evaluated policy interventions, and other research<br />
created a wealth of knowledge. A substantial part of the<br />
knowledge is not accessible for non-Dutch speaking<br />
persons and it is valuable to report the findings from a<br />
number of Dutch evaluated cases in the framework of the<br />
<strong>Bike</strong>ability-project.<br />
The structure of the report is as follows. First, in Chapter<br />
2, a brief overview of cycling, bicycle policy, and research<br />
on cycling in the Netherlands will be given. Then, in the<br />
next five chapters seven case studies are described.<br />
Chapters 3 and 4 discuss the three ‘classical’ cases of<br />
large scale improvements in bicycle infrastructure that<br />
were implemented and evaluated some decades ago:<br />
the construction of high quality urban bicycle routes and<br />
the upgrade of the bicycle network in one city. Chapter 4<br />
deals in addition with a single project that is part of the<br />
network upgrade and that has been evaluated separately.<br />
Chapters 5 to 7 describe the evaluations of the application<br />
of three recently developed typologies of infrastructure<br />
design: shared space, bicycle streets, and bicycle<br />
‘highways’. Finally, Chapter 8 summarises the results and<br />
provides recommendations.<br />
WP3: Choice modelling for simulation of bicyclist behaviour<br />
develops an agent based modelling approach to<br />
simulate the flow of individual bicyclists in urban areas as<br />
a response to changes to the urban environment and the<br />
level of and attitude to bicycle transport.<br />
WP4: Interventions to the bicycling infrastructure will<br />
analyze bicycle infrastructure cases in the Danish municipalities<br />
and the Netherlands; their implementation and<br />
significance in terms of contribution to the promotion of<br />
cycling, and finally identify infrastructure and elements of<br />
interventions that can help promote cycling significantly.<br />
WP5: Planning Guidance and Dissemination serves the<br />
purpose of presenting the project’s methodological advances,<br />
tools, and conclusions to policy-makers, planners<br />
and traffic engineers, as well as maintaining the dialog<br />
and interaction with end-users from the municipalities.<br />
4 5
2 DEVELOPMENTS IN CYCLING IN THE NETHERLANDS<br />
In the Netherlands and in many other countries bicycle<br />
usage increased continuously in the first half of the 20th<br />
century and reached a maximum in about 1950. Then<br />
bicycle usage started to decline due to the increasing<br />
competition of the car. In some countries, like England,<br />
the bicycle nearly disappeared, in other countries, like the<br />
Netherlands and Denmark, the bicycle survived as a frequently<br />
used mode. Figure 2.1 depicts the development<br />
of cycling in the Netherlands since 1950.<br />
The 1970’s marked a paradigm shift in the Dutch thinking<br />
about traffic. Whereas in the 1950’s and 1960’s traffic and<br />
transport policies were characterised by straightforward<br />
attempts to make room for the rapidly increasing motorisation,<br />
in the 1970’s people started to see the downsides<br />
of mass motorisation. The number of fatal road casualties<br />
peaked in 1972 and raised a lot of public dissatisfaction.<br />
The foundation in 1973 of the civil society group called<br />
‘Stop de Kindermoord’ (Stop the Murder of Children) was<br />
a protest against the high number of road accidents with<br />
young children and the priority generally given to motorised<br />
traffic. Upon that the report of the Club of Rome<br />
on the limits to growth in 1972 had a major impact on the<br />
public debate in the Netherlands, and triggered a more<br />
critical thinking about environmental aspects of the ongoing<br />
motorisation. Additionally, the oil crises of 1973 demonstrated<br />
the vulnerability of motorised transport. In 1975<br />
the Fietsersbond (Dutch Cyclists’ Union) came into existence.<br />
Municipal officials in Delft invented the ‘woonerf’<br />
concept: residential areas in which cars had to slow down<br />
to a walking pace so as to accommodate other uses of the<br />
public space than only traffic.<br />
Figure 2.1: Development of bicycle kilometres per person per day in the Netherlands in the period 1950-2009 (sources:<br />
Ministry of Transport and Public Works, 1993, and national travel survey data 1980-2009)<br />
After 1950, bicycle use fell from nearly 5 km per person<br />
per day to less than 2 km in the mid 1970’s. Then it increased<br />
again to 2.5 km, and this level has been retained<br />
until today.<br />
Bicycle promotion became permanently an issue in policy,<br />
and research on the effectiveness of measures for improving<br />
cycling conditions started as well. In the late 1970’s<br />
two ‘demonstration bicycle routes’ were implemented in<br />
The Hague and Tilburg. In the 1980’s the bicycle network<br />
in the medium-sized city of Delft was upgraded in order to<br />
create a comprehensive and integral network that meets<br />
certain standards of quality. These three projects were<br />
evaluated extensively and got the status of classical case<br />
studies in bicycle interventions; the studies are discussed<br />
in Chapters 3 and 4.<br />
6 7
In the 1990’s the central government initiated a large<br />
number of projects and studies in the framework of the<br />
“Masterplan Fiets”. Research and active policy continued<br />
in the new century. New concepts were developed that<br />
aimed at humanizing traffic and utilising the potential of<br />
active modes as cycling, like ‘bicycle streets’, ‘shared<br />
space’, ‘driving slowly goes faster’ and ‘bicycle highways’.<br />
These concepts did not change the city overnight,<br />
but helped to improve the urban transport system and to<br />
sustain the existing levels of cycling.<br />
The figure demonstrates that a) the bicycle share is by<br />
far highest for teenagers (about 60%!), and b) the developments<br />
of the shares are highly stable. The stability is<br />
remarkable because the average trip distance increased,<br />
inducing a relative decrease of trips where the bicycle<br />
is a feasible mode. The Ministry of Transport and Public<br />
Works (1998) argued that the competitiveness of the bicycle<br />
has increased. Other studies show that the cycling<br />
culture in the Netherlands has gained strength and acceptation<br />
in all parts of the population compared to three<br />
decades ago (DHV et al, 1980, Goudappel en Coffeng<br />
and Rijkswaterstaat, 1980, Mobycon et al, 2009).<br />
In contrast to the stability of bicycle use for regular trips,<br />
usage of the bicycle for access and egress to and from<br />
public transport increased spectacular. The number of<br />
this kind of trips increased from about 0.02 in the early<br />
1980’s to about 0.05 today. Most of these trips are feeder<br />
trips for the train. The increase can partly be explained by<br />
a general increase in train use and party by an increase of<br />
the bicycle share in the access and egress modes.<br />
Figure 2.2: Share of the bicycle for regular trips by age class (source: national travel survey data 1979-2008)<br />
Corresponding to the growth in bicycle use, the market<br />
share of use of the bicycle increased since the mid 1970’s<br />
until the level of 28% in the early 1980’s. Since then this<br />
level has been remarkably constant. Figure 2.2 shows the<br />
development of market shares of bicycle use for regular<br />
trips, separately for three age classes: young children <<br />
12 years old, teenagers from 12-18, and adults >= 18<br />
years old. Regular trips exclude bicycle use for just go for<br />
a ride and feeder trips to and from public transport. Data<br />
for young children are available only from 1994.<br />
Figures collected by the Fietsersbond (2010) show that<br />
the most important purposes for bicycle use are shopping<br />
(22% of all bicycle trips), education (18%), work (16%),<br />
leisure (14%, excluding just go for a ride that has a share<br />
of 6%), and visit family or friends (11%). The number of<br />
bicycle trips is comparable for men and women except<br />
for ages from 30-60 where women make significantly<br />
more trips. Non-natives make considerably less bicycle<br />
trips than natives. The difference is most striking for nonnatives<br />
from Mediterranean countries.<br />
8 9
3 The demonstration projects in<br />
Tilburg and The Hague<br />
3.1 Political context<br />
In chapter 2 we shortly described the paradigm shift of the<br />
1970’s in the thinking about traffic, resulting in more attention<br />
for (the safety of) cycling and walking. In this atmosphere<br />
of growing awareness a budget line for subsidizing<br />
cycling facilities in urban areas was introduced for the<br />
first time in the Multi Annual Plan for Persons Transport<br />
1976-1980 of the Ministry of Transport, Public Works and<br />
Water Management. Such facilities were meant to stimulate<br />
bicycle use. Municipal projects to improve cyclists’<br />
safety were eligible for a 80% subsidy.<br />
As the construction of such facilities – in those days – appeared<br />
to be not that simple, the minister took up the plan<br />
to implement two so called ‘demonstration bicycle routes’<br />
in The Hague and Tilburg as an example for other municipalities<br />
to follow suit. These demonstration routes would<br />
be funded 100% by the national government.<br />
Both Tilburg and The Hague were chosen because these<br />
municipalities had formulated policies to improve cycling<br />
conditions in line with the aims of the government. These<br />
cycling policies were meant to slow down the increase of<br />
motorised traffic and to strengthen the (at that time deteriorating)<br />
position of cycling (and also public transport).<br />
As the available budget was supposed to be spent in<br />
1976 there was little time for preparation and design. The<br />
ministry was keen on making the demonstration route<br />
available as soon as possible in order to stimulate other<br />
municipalities to follow the given example.<br />
And at the same time there was an ambiguity in the<br />
character of these projects: on the one hand they should<br />
show the feasibility of dedicated bicycle routes, and on<br />
the other hand these projects had to contribute to an increased<br />
knowledge and understanding of the effects of<br />
certain interventions, which implied systematic before<br />
and after studies. Thus the routes included some (at that<br />
time) experimental solutions which effectiveness had to<br />
be assessed. The result of this ambiguity was (amongst<br />
other things) that the implementation of the routes took<br />
a bit more time than anticipated, and also resulted in an<br />
extensive research to the effects of the implemented facilities<br />
on bicycle use, road safety, the appropriateness of<br />
certain designs and the experiences of the users.<br />
10 11
3.2 The route designs<br />
3.2.1 TILBURG<br />
Figure 3.1: Tilburg is located in the southern part of the<br />
Netherlands.<br />
Tilburg is a city in the south of the Netherlands. After<br />
the industrial revolution it became a centre for textile industries,<br />
and because of the increase of the population<br />
Tilburg absorbed the adjacent villages. Thus Tilburg is<br />
an agglomeration rahter than a mono centric city. In the<br />
1960’s and 1970’s the textile industry lost its prominent<br />
position and many industrial sites were redeveloped. At<br />
that time Tilburg had a population of about 150.000 inhabitants.<br />
(In 2010 this number has increased to 204.000<br />
inhabitants.)<br />
Tilburg is also a university city with an emphasis on social<br />
and economic sciences. Although Tilburg is the sixth city<br />
of the Netherlands, its urban form reflects a rather recent<br />
development of its urban status.<br />
The design<br />
The demonstration bicycle route was designed as one<br />
stretched route connecting the outskirts of the built-up<br />
area in the west and the east with the city centre.<br />
Figure 3.2: Bicyle route in Tilburg.<br />
In the eastbound direction the route was extended to<br />
neighbouring villages Berkel-Enschot and Oisterwijk.<br />
Thus this route has also a rural section. At relevant points<br />
(mainly in the city centre) the project included some (relatively<br />
short) transverse connections to open up the area.<br />
And the connection with the villages in the east looks like<br />
an ongoing alignment to Oisterwijk with two transverse<br />
connections to Berkel-Enschot.<br />
Figure 3.3: Main route (above) and transverse connections (below) inside the city of Tilburg.<br />
12 13
3.2.2 The Hague<br />
The design<br />
Just as in Tilburg the demonstration route in The Hague<br />
was intended to be one stretched route (through the urban<br />
fabric parallel between two main arterials for motorised<br />
traffic) connecting the south-west of the city (Waldeck)<br />
and the north east part (Mariahoeve) via the city centre.<br />
Figure 3.4: Extension of the bicycle route to the villages of Oisterwijk and Berkel-Enschot.<br />
Main features of the project (Gemeente Tilburg 1975; Ministerie van Verkeer en Waterstaat 1977):<br />
• Segregated cycling facilities, mostly a two directional path at one side of the main carriageway;<br />
• Redesigned narrow streets in the city centre with restricted access for cars, and related to that a number of changes in<br />
the circulation in the inner-city, such as changes of direction in one way streets;<br />
• Intersection redesign so as to give priority to cyclists on the bicycle route as much as possible;<br />
• Much effort is put into showing the continuity of the bicycle route across the intersections by using red coloured road<br />
surface for the bicycle route.<br />
• ‘Humps and bumps’ in the road pavement were used as an experimental feature at intersections to influence the manoeuvring<br />
of car drivers.<br />
<br />
Figure 3.5: The Hague is located in the west of the Netherlands<br />
and part of the metropolitan conurbation called<br />
‘Randstad’.<br />
The Hague is the residence city of the Netherlands government<br />
(Amsterdam being the capital). Government<br />
has been residing in The Hague since the 16th century.<br />
The Hague is the third city in the Netherlands with about<br />
500.000 inhabitants. As the The Hague territory is fully<br />
utilised, the number of inhabitants is now smaller than<br />
30 years ago, but the increase of population is absorbed<br />
by neighbouring municipalities. The agglomeration Haaglanden,<br />
consisting of The Hague and its neighbour municipalities<br />
has over 1 million inhabitants. And again this<br />
agglomeration is part of the larger Randstad, the metropolitan<br />
area in the west of the Netherlands including also<br />
Amsterdam, Rotterdam and Utrecht.<br />
The Hague is situated at the North Sea and well connected<br />
with the other parts of the country by highways and rail<br />
connections. The Hague is also called the capital of international<br />
justice, being the residence of the International<br />
Court and International Criminal Court.<br />
Figure 3.6: Bicycle route in The Hague<br />
But the planned route through the city centre and the east<br />
part met so much opposition that the city centre part was<br />
only decided upon after the evaluation study, and the<br />
east part of the route was cancelled altogether. So the<br />
bicycle route that was subject of the evaluation study is<br />
only connecting Waldeck, a neighbourhood in the South-<br />
West part of The Hague in North East direction with the<br />
city centre. The urban density in The Hague is somewhat<br />
higher than in Tilburg. Most parts of the route were designed<br />
as a one sided two directional cycle path, with priority<br />
of the cycle route at most of the intersections.<br />
Some parts are one way streets with cyclists mixing with<br />
motorised traffic and a contra flow cycling path in the<br />
other direction. Main feature in The Hague is the design<br />
of intersections with right of way for cyclists on the demonstration<br />
route. As in Tilburg the continuity of the route<br />
was made visible by the use of (red) coloured pavement.<br />
The experimental feature in The Hague was the design of<br />
‘priority intersections’ that provided right of way to cyclists<br />
on the demonstration bicycle route. The bicycle route is<br />
aligned over a road hump so as to make sure that crossing<br />
car drivers are slowing down when approaching the<br />
bicycle route. (Dienst der Gemeentewerken ’s-Gravenhage,<br />
1978).<br />
14 15
projects. (See also the organization chart below.) The decision<br />
making on the project implementation was at the<br />
municipal level.<br />
3.3.1 Tilburg<br />
In reality the (urban part of the) bicycle route in Tilburg<br />
was implemented between March 1976 and November<br />
1977 (Ministerie van Verkeer en Waterstaat, 1977)<br />
after approval of the plans by the municipal council on<br />
1 December 1975. The extensions to the neighbouring<br />
municipalities Berkel-Enschot and Oisterwijk were only<br />
decided in 1977, and these parts of the route are outside<br />
the scope of the evaluation studies.<br />
Given the pressure of time there was limited room for<br />
information to and consultation of the population. Information<br />
and consultations sessions were organised per<br />
neighbourhood and with some stakeholder groups like<br />
the Chamber of Commerce and the association of shop<br />
owners. Comments made could only be taken into account<br />
as far as they were within the boundary conditions<br />
of the project. This wasn’t always to the satisfaction of the<br />
people involved in this consultation process.<br />
The technical preparation and supervision on the implementation<br />
was commissioned to some consultancies,<br />
with the final responsibility at Tilburg Public Works department.<br />
Project group<br />
design<br />
The Hague<br />
Project group<br />
design<br />
Tilburg<br />
Ministry of<br />
Transport, Public<br />
Works and Water<br />
Management<br />
Project<br />
implementation<br />
Bicycle<br />
use<br />
Steering<br />
group<br />
The Hague<br />
Steering<br />
group<br />
Tilburg<br />
Cyclists’<br />
perceptions<br />
Road<br />
safety<br />
5 thematic research groups<br />
Municipality of<br />
The Hague<br />
Municipality of<br />
Tilburg<br />
Plenary<br />
Research<br />
Group<br />
Design<br />
aspects<br />
Accompanying<br />
research<br />
Shop<br />
sales<br />
3.3 Organisation and<br />
implementation<br />
Both demonstration projects stem from the desire of the<br />
national government to demonstrate the feasibility of well<br />
designed urban cycling infrastructure. As explained in<br />
paragraph 3.1 the Multi Annual Plan for Persons Transport<br />
1976-1980 had (for the first time) a budget line to<br />
subsidize urban cycling facilities. But as municipalities<br />
obviously found it difficult to qualify for these subsidies,<br />
these demonstration routes had to show them the way.<br />
Because of the time frame of the multi-annual plan the<br />
ministry wanted the projects to be implemented rather<br />
quickly. The original idea was that the implementation of<br />
both routes would be finalized in 1976.<br />
For both projects there was a steering group of municipal<br />
officials and the (national) Department of Waterways<br />
and Public Works. Thereupon there was a ‘plenary study<br />
group’ with 5 subgroups for a proper evaluation of the<br />
3.3.2 The Hague<br />
In The Hague the implementation process was less<br />
straight forward than in Tilburg. The original idea was that<br />
the municipal council would approve the plans for the entire<br />
bicycle route in one decision. But because of the opposition<br />
(mainly coming from shop keepers) the council<br />
decided to take separate decisions for 5 different route<br />
sections. For each route section ‘information evenings’<br />
were organised, and the plans for some sections raised<br />
substantial opposition, which resulted in serious delays<br />
for these sections. The route section in the historic city<br />
centre got only approved in 1983 after the evaluation<br />
studies were finished, and the north east section was ultimately<br />
cancelled altogether.<br />
The technical preparation was in the hands of the Department<br />
of Public Works of The Hague whereas the political<br />
management of the project was a shared responsibility<br />
of the town clerk’s office and the department of Public<br />
Works.<br />
3.4 The costs<br />
Figure 3.8: Chart of organisation and implementation of the two projects (Van den Broecke and<br />
Rijkswaterstaat, 1981)<br />
It doesn’t seem very worthwhile to go very deep into the<br />
costs of projects that were implemented more than 30<br />
years ago. The reporting on this issue (Instituut voor Zintuigfysiologie,<br />
TNO and Rijkswaterstaat 1982) concludes<br />
that cost estimates were reasonably in line with the real<br />
costs, that it was difficult to establish a general applicable<br />
unit price for sections and intersections, that larger constructions<br />
such as bridges and underpasses do have a<br />
large impact on the total costs of such a project, and that<br />
costs are relatively low when the bicycle facilities can be<br />
implemented between the existing curbs of the carriageway.<br />
Reconstruction of the cross section ‘from façade to<br />
façade’ is obviously and understandably more expensive.<br />
This was also the main explanation why the bicycle route<br />
in The Hague was cheaper than the route in Tilburg: the<br />
route in The Hague could be implemented between the<br />
existing curbs, whereas in Tilburg the entire cross section<br />
was reconstructed. In the case of the two projects preparation<br />
and supervision of the construction of the bicycle<br />
routes took a substantial part of the budget.<br />
3.5 Set-up of the<br />
evaluation studies<br />
The demonstration projects were not only intended to<br />
show the feasibility of the implementation of cycling facilities,<br />
but also to get a better understanding of the effects of<br />
such facilities. For this reason the project was accompanied<br />
by a number of studies to evaluate the bicycle routes<br />
16 17
and to conclude whether the goals and objectives of the<br />
projects were achieved. The research was organised in 5<br />
thematic sub researches researching the impacts or effects<br />
of the bicycle routes on (1) bicycle use, (2) perceptions<br />
(appreciation) of the quality of the route and its elements,<br />
(3) road safety, (4) design aspects, and (5) shop<br />
sales.<br />
These groups were supervised by a plenary research<br />
group as shown in the organization chart in par. 3.3.<br />
As for the information and consultation process also the<br />
determination of the research questions was done rather<br />
quick and dirty. As a consequence the research questions<br />
of the 5 research groups didn’t fit in optimally to policy issues.<br />
Also the researches weren’t optimally geared to one<br />
another, which hampered the drawing of integral conclusions.<br />
An integral evaluation was done on the technical<br />
aspects (building on the results of the 5 sub groups) and<br />
on the process aspects of the project (evaluating project<br />
organisation, implementation and demonstration). The<br />
next paragraphs will shortly explain the research questions,<br />
used methods and results of all evaluation studies.<br />
3.6 The impacts<br />
3.6.1 Bicycle use<br />
With regard to bicycle use the research questions were:<br />
• Did the construction of the bicycle route result into additional<br />
trips?<br />
• Did the construction of the bicycle route result into a<br />
modal shift?<br />
• Is the bicycle route attracting cyclists from parallel<br />
routes?<br />
• What is the size of the area of influence of the bicycle<br />
route?<br />
• Do cyclists using the bicycle route judge differently<br />
about time losses as a consequence of detours than cyclists<br />
using other routes? (Or to phrase it differently: are<br />
cyclists prepared to accept longer detours because of a<br />
high quality bicycle route?)<br />
•How do cyclists experience certain design aspects?<br />
(DHV et al,1980)<br />
These questions were answered on the basis of counts<br />
of volumes of cyclists on the demonstration routes and<br />
parallel routes before (October 1975) and after (October<br />
1977, April 1978, October 1978 and October 1979) the<br />
implementation of the bicycle routes, and on the basis of<br />
a survey (after implementation) amongst cyclists on the<br />
bicycle routes and in the vicinity of these routes.<br />
The counts and surveys have been identically executed<br />
in The Hague and Tilburg. Also moped users were surveyed,<br />
but as the number of moped users decreased<br />
substantially between 1975 and 1977 (15% in The Hague<br />
and 30% in Tilburg) the analyses of the surveys was only<br />
done with the cyclists’ responses. It is good to note here<br />
that the majority of cyclists surveyed (75% in Tilburg and<br />
81% in The Hague) had no car available for their trips. (It<br />
is likely that today – 2011 – much higher percentages of<br />
cyclists have a car available.)<br />
The counts in both cities have been done on two corridor<br />
cross sections, including the bicycle route and the parallel<br />
routes on both sides. In both cities the volume of cyclists<br />
on the newly implemented route increased dramatically at<br />
the cost of the volumes of the parallel routes. The increase<br />
of volumes on the bicycle routes were highest in Tilburg<br />
(146% in 1978 and 140% in 1979 – both compared with<br />
the volumes as counted in 1975) but also in The Hague<br />
they were considerable (54% in 1978 and 76% in 1979).<br />
40% of the users in The Hague and 67% of the users in<br />
Tilburg are coming from parallel routes.<br />
At the same time cyclists don’t appear to be prepared to<br />
make detours. The average detour distance (defined as<br />
the difference between ‘the distance as the crow flies’ and<br />
‘the distance over the road’) is on the bicycle route in The<br />
Hague only 90 m longer than on the parallel routes; and<br />
in Tilburg the bicycle route is the shortest route anyway<br />
for most cyclists. The latter fact can be an explanation of<br />
the larger increase in use of the bicycle route in Tilburg:<br />
the shift in route choice in Tilburg can be explained because<br />
of an improved directness offered by the bicycle<br />
route. In case of a similar directness (no or minor detours<br />
compared to other routes) the shift in route choice can be<br />
explained by the better cycling quality of the route.<br />
Obviously cyclists in The Hague are prepared to accept<br />
an average additional detour of only 90 m to use the better<br />
quality bicycle route. (DHV et al, 1980) Goudappel en<br />
Coffeng and Rijkswaterstaat (1981, 1) suggest that travel<br />
time could be an explaining factor for this. The perception<br />
study revealed that cyclists appreciate the feeling of being<br />
able to get on smoothly, and that the absence of traffic<br />
lights on the demonstration route could result in a shorter<br />
travel time even if the distance is a bit larger.<br />
The total volume of cyclists in the corridor had increased<br />
as well. The increase was larger on the bicycle routes<br />
than on the parallel routes. In the survey cyclists indicated<br />
that they made more cycling trips for so called ‘non obligatory’<br />
(or ‘voluntary’) trips (as opposed to ‘obligatory’ or<br />
‘non voluntary’ trips like commuting to school or to work,<br />
which were not expected to increase). Cyclists stated to<br />
make more cycling trips to shops, family visits and recreational<br />
purposes than before the implementation of the<br />
bicycle route.<br />
On the other hand the implementation of the demonstration<br />
bicycle routes had only a modest impact on modal<br />
choice. In 1977 cyclists (on the demonstration routes and<br />
on parallel routes) were asked what mode of transport<br />
they used in 1975. Most cyclists (90%) already cycled before<br />
(as most of them had no car available for their trip)<br />
and there was no difference in this respect between cyclists<br />
on the demonstration routes and on parallel routes.<br />
There is hardly any impact on public transport use in both<br />
cities (that had very different levels of service). There is<br />
a small shift from car to bicycle (5-8% of the cyclists that<br />
own a car – which is only 20-25% of all cyclists – indicated<br />
that they used to use their car in 1975), and it can be concluded<br />
very cautiously that the (autonomous) shift from<br />
bicycle to other modes (i.e. modal shift as a consequence<br />
of changes in a person’s personal situation) is smaller for<br />
cyclists using the demonstration route than for those using<br />
parallel routes. (Goudappel en Coffeng and Rijkswaterstaat<br />
1980, DHV et al, 1980)<br />
With regard to the area of influence of the demonstration<br />
route an analysis was made of the origins and destinations<br />
of the surveyed cyclists. It appeared that those<br />
having their origin and/or destination within 250 m of the<br />
route will use the route rather frequently, but when origin<br />
and destination are further away, the use of the route<br />
becomes rapidly very small. It could not be shown that<br />
the area of influence of these demonstration routes was<br />
larger than the area of influence of other routes. However,<br />
if trip distances are more or less equal (i.e. no detour as<br />
a consequence of using the route) cyclists do choose the<br />
demonstration route more often.<br />
In general the users of the demonstration bicycle routes<br />
are positive about the routes. Satisfaction was larger in<br />
Tilburg than in The Hague, although some design aspects<br />
also raised some criticism. (See also 3.6.3 Perception of<br />
cycling quality.)<br />
3.6.2 Road safety<br />
With regard to road safety the researchers made a distinction<br />
between ‘objective’ road safety which can be<br />
measured by the number of personal injury accidents and<br />
facilities, and the ‘perceived’ or ‘subjective’ road safety:<br />
how safe do cyclists feel to be. This paragraph is mainly<br />
dealing with the objective road safety effects of the demonstration<br />
routes: in how far has the implementation of<br />
these routes resulted in a decrease of personal injury or<br />
fatal accidents. The perceived or subjective road safety is<br />
dealt with in the next paragraph about the perceived quality<br />
of the bicycle route.<br />
The main research questions with regard to road safety<br />
effects of the demonstration routes were:<br />
• What is the influence of the implemented demonstration<br />
routes on the (objective) road safety within the area of<br />
influence of the routes?<br />
• What is the influence of geometric design and traffic<br />
light adjustments of the newly implemented facilities on<br />
the road safety on the routes?<br />
The first question was elaborated in a number of subquestions<br />
so as to compare road safety for motorised and<br />
non motorised road users in the area of influence at large<br />
with a control area, and subsequently to compare the cycle<br />
route road sections and intersections with other road<br />
sections and intersections within the area of influence.<br />
The second question was also elaborated in a number of<br />
more detailed research questions but eventually handed<br />
over to the research group looking into design aspects. As<br />
the number of accidents per location (fortunately) are too<br />
rare to enable good conclusions on the basis of accident<br />
data, other methods of analysis had to be applied. See<br />
for design related road safety conclusions also paragraph<br />
3.6.4.<br />
The road safety impacts in this paragraph are based on<br />
an analysis of accident data before and after the implementation<br />
of the bicycle route. (Goudappel en Coffeng<br />
and Rijkswaterstaat, 1981, 3 and 4).<br />
With regard to the development of road safety for all road<br />
users there appeared to be no difference in the areas of<br />
influence of the bicycle routes in comparison with the control<br />
areas.<br />
Different results were found when looking at the accidents<br />
at sections and intersections of the bicycle route<br />
compared to other road sections and intersections within<br />
the influence areas. On the road sections and intersections<br />
of the bicycle routes single personal injury accidents<br />
and personal injury accidents with only cyclists involved<br />
are more frequent, and on intersections this is also true<br />
for cyclist x motorist personal injury accidents. However,<br />
18 19
that the risk of personal injury on the bicycle route is lowest<br />
on the bicycle route. This can be explained by the<br />
absence of cyclist x motorists accidents on the bicycle<br />
route because of the segregated facilities. One could say<br />
that there was a shift from cyclist x motorist accidents to<br />
cyclist x cyclist accidents, cyclists x pedestrian accidents<br />
and single cycling accidents. The latter types of accidents<br />
are on average of course less serious than the cyclist x<br />
motorist accidents.<br />
In general the researchers concluded that the demonstration<br />
bicycle routes had no measurable impact on the number<br />
of accidents with personal injury, and this was a disappointing<br />
conclusion. There was no clear positive effect<br />
of the bicycle routes on (objective) road safety (Dienst der<br />
Gemeentewerken ’s-Gravenhage, 1984).<br />
3.6.3 Perception of cycling quality<br />
One of the researches was meant to determine how cyclists<br />
and other road users perceive (and experience) the<br />
bicycle routes and the various applied design elements,<br />
and to which extent the perception (and experience) of<br />
cycling in the city is being improved by the construction of<br />
a dedicated bicycle route. The character of this research<br />
was mainly qualitative.<br />
amongst three important target groups within the (expected)<br />
areas of influence of both demonstration routes.<br />
These target groups were:<br />
• Employees from adjacent residential areas having their<br />
jobs in the city centre, who don’t need a car for their job<br />
and could or do use the bicycle for their commuting;<br />
•Housewives from the same residential areas who could<br />
or do cycle;<br />
•Students of schools in the vicinity of the bicycle route.<br />
There were also surveys amongst control groups, consisting<br />
out of similar employees and housewives from<br />
similar neighbourhoods but outside the areas of influence<br />
of the bicycle routes. It appeared necessary to replenish<br />
the panels that had been surveyed in the before study for<br />
the after study, especially in The Hague: because of the<br />
delays in implementation the existing panels appeared to<br />
be depleted substantially at the time of the after study.<br />
Even more so because a considerable part of the demonstration<br />
route in The Hague (the north-east section) had<br />
not been implemented, and as a consequence the concerning<br />
part of the before study panel wasn’t relevant for<br />
the after study.<br />
(83%) than cyclists in Tilburg (68%). Also more cyclists in<br />
The Hague were (in 1978) positive about the suggestion<br />
for more bicycle routes than cyclists in Tilburg (68%). Explanation<br />
for this could be that firstly the need for improvement<br />
of cycling conditions was perceived as more urgent<br />
in The Hague than in Tilburg, and secondly that higher<br />
expectations can be easier disappointed.<br />
The next research question was how cyclists compare the<br />
use of the bicycle route with the before situation without<br />
the bicycle route. Generally they feel safer than before,<br />
they can cycle more undisturbed and they can get on<br />
more smoothly.<br />
Spontaneously mentioned elements as being ‘well<br />
thought of’ were the (redish) coloured pavement of the bicycle<br />
route, the segregation from the motor traffic and the<br />
right of way at intersections. On the question what they<br />
disliked cyclists mentioned dangerous (priority) intersections,<br />
some narrow sections, mopeds on the bicycle route<br />
and a number of very diverse other objections.<br />
When directly asked to assess certain quality aspects as<br />
being improved or deteriorated these were the results:<br />
The most striking difference between the two cities is the<br />
relative larger improvement of the directness in Tilburg.<br />
ees and 7% of the housewives in The Hague, and 9% of<br />
the employees and 13 % of the housewives in Tilburg.<br />
Changes in modal choice for commuting are minor, for<br />
other motives slightly higher but still very modest: 5%. In<br />
line with the results of the research to travel behaviour is<br />
that cyclists indicate only to use the route if it provides a<br />
direct connection between origin and destination.<br />
When it comes to the appreciation of certain design aspects<br />
of the bicycle routes the following observations can<br />
be made:<br />
• A positive appreciation of the design correlates with the<br />
extent of segregation and the width of the facilities. Cyclists<br />
are obviously less positive when facilities are not<br />
segregated and/or too narrow.<br />
• There is also a correlation between the perception of<br />
safety and the enjoyability of cycling, although the perception<br />
of safety is systematically more positive than the<br />
perception of enjoyability. One could conclude that perceived<br />
safety is a precondition for enjoyable cycling, but<br />
obviously there is more to it.<br />
• Intersections are perceived as less safe than road sections,<br />
and a bit more so in case of intersections without<br />
traffic lights.<br />
Research questions were:<br />
• How do the various groups of road users appreciate/<br />
assess the current (implemented) bicycle route, and what<br />
are the reasons for a positive or a negative assessment?<br />
• How do bicycle and moped users perceive the use of<br />
the bicycle route in comparison with cycling in the before<br />
situation?<br />
• What can be said on a qualitative level about the effects<br />
of the bicycle route on the level of bicycle use and on<br />
route choice?<br />
• How are the various design elements (design components)<br />
of the bicycle routes being perceived by the users?<br />
• How do motorists (i.e. car drivers) perceive the priority<br />
intersections in the bicycle route as they have been designed<br />
and implemented?<br />
To answer these questions a survey was executed before<br />
and after the implementation of the bicycle routes<br />
The surveys consisted out of an extensive list of questions,<br />
and the results of the before study were also used<br />
for drafting the questions for the after study.<br />
In general the respondents (both users and non-users of<br />
the routes) assessed the implementation of the bicycle<br />
routes positively. Non-users included both cyclists from<br />
other areas and non-cyclists, and also the majority of noncyclists<br />
were positive. The positive judgements (in 1978)<br />
were more frequent in Tilburg (82%) than in The Hague<br />
(62%). Main reasons for the positive appreciation were<br />
improved perceived (!) road safety and more room for cycling<br />
because of the provision of segregated road space.<br />
Additionally the cyclists in Tilburg mentioned that the bicycle<br />
route made the city centre better (faster) accessible by<br />
bicycle. Those in The Hague who were negative in their<br />
assessment of the bicycle route mentioned mainly insufficient<br />
road safety or even called the route dangerous. In<br />
Tilburg the negative assessments were mainly explained<br />
by the nuisance that the bicycle route created for other<br />
road users.<br />
Striking is that with regard to the positive expectations in<br />
the before study in 1976 it was just the other way around:<br />
cyclists in The Hague were more positive about the plans<br />
The effect of the bicycle routes on bicycle use and route<br />
choice were already studied in another research (see<br />
3.6.1), and the results in this study to the perceptions of<br />
cyclists are in line with those results. Only small percentages<br />
of the cyclist respondents indicate to cycle more<br />
often because of the bicycle routes: 2% of the employ-<br />
• The two grade separated crossings in Tilburg are in general<br />
appreciated, although the (specific) design of one underpass<br />
had also some critical remarks.<br />
• The bumps in the road surface at some intersections in<br />
Tilburg to steer the manoeuvres of car drivers are mainly<br />
improved<br />
deteriorated<br />
Quality aspect The Hague Tilburg The Hague Tilburg<br />
More pleasant cycling 71% 82% 10% 1%<br />
Safer cycling 66% 78% 12% 4%<br />
Getting on more<br />
smoothly (i.e. improved 57% 79% 5% 4%<br />
directness)<br />
More attractive route 43% 56% 7% 4%<br />
Table 3.1: Perceived changes in quality<br />
20 21
• Coloured pavement to visually distinguish the space for<br />
cycling and to underline the coherence and continuity of<br />
the route are generally appreciated.<br />
• Cyclists prefer an asphalt pavement above tile paving.<br />
3.6.4 Design aspects<br />
An important question is how the results of the researches<br />
in the previous paragraphs cohere with specific designs<br />
applied in the bicycle routes. Upon that it is important<br />
to know to which extent the behaviour of road users<br />
is in accordance with the intentions of the designers. To<br />
a certain extent these questions have been answered in<br />
the research on the perceptions of road users. A specific<br />
research was done to evaluate the design of intersections,<br />
and more particularly the intersections without traffic<br />
lights where cyclists have the right of way.<br />
At these intersections and a number of control intersections<br />
observations were done to the behaviour of the various<br />
road users with regard to their speed, manoeuvres<br />
and interaction with other road users. Behaviour was registered<br />
and subsequently analysed. The gravity of interactions<br />
or conflicts was assessed by calculating the ‘time<br />
to collision’ (i.e. the collision that would happen if road<br />
users continue their course with unchanged speed; van<br />
der Horst and Sijmonsma, 1978).<br />
This observation method was also applied to complement<br />
the road safety analysis based on accident data.<br />
On each individual location the number of accidents was<br />
too rare to draw any specific conclusion with regard to<br />
the safety of the location in relation to the applied design.<br />
As near misses happen much more frequently than real<br />
accidents, observations of those near misses can provide<br />
a data base that is considered to a good proxy for road<br />
accident data bases as basis for an in depth road safety<br />
analysis.<br />
Conclusions at route level:<br />
• Given the fact that cyclists are hardly prepared to make<br />
detours, the design of bicycle routes should offer as direct<br />
as possible connections between origin and destination.<br />
And combined with the preference of cyclists for segregated<br />
facilities the implication is that if a heavily used arterial<br />
is providing the shortest connection for cyclists, these<br />
arterials should have segregated cycle tracks.<br />
• However, routes along arterials have some disadvantages,<br />
such as the experience of noise and emissions,<br />
traffic lights that often aren’t well adjusted to the needs of<br />
cyclists, and the risk of collisions with turning motor traffic.<br />
So if direct connections can be made through traffic<br />
calmed areas, this is the preferred option.<br />
• Another finding of the research was the importance of a<br />
logical tracing of the various links of the bicycle route. If<br />
the tracing of the route is unclear, cyclists get ‘lost’. Thus<br />
is coherence an important requirement for cycling infrastructure.<br />
Findings and conclusions with regard to road sections:<br />
• In both bicycle routes the bicycle facilities were as much<br />
as possible segregated from the carriageway for motor<br />
traffic, and cyclists appear to appreciate this.<br />
• The route in Tilburg was better appreciated than the<br />
route in The Hague. In The Hague the emphasis was on<br />
creating safety, whereas in Tilburg the emphasis was on<br />
getting on more smoothly (improving directness) through<br />
traffic restrained streets.<br />
• In case of a lack of space to apply the desired width, in<br />
some streets the designers chose for compromised solutions.<br />
Narrowing down the width for all road users with<br />
only visual separation between the lanes was appreciated<br />
by none of the categories of road users: the design wasn’t<br />
comfortable for any of them. A better option seems to design<br />
the concerning street as a habitat street with limited<br />
access for motor traffic and a mixed profile. Yet this is not<br />
ideal for a main bicycle route.<br />
• Both in The Hague and in Tilburg one sided two directional<br />
bicycle tracks were predominantly applied. The research<br />
showed that for the level of use this hardly makes<br />
any difference compared with two sided one directional<br />
tracks. These one sided two directional bicycle tracks<br />
have a big advantage with regard to road management:<br />
overall these one sided facilities are cheaper and require<br />
less space than two sided one directional tracks. For cyclists<br />
they have only advantages when most origins and<br />
destinations are on the same side of the road, as in those<br />
cases there is less need for cyclists to cross the main carriageway.<br />
But there are also serious disadvantages: the<br />
perception of safety by cyclists is less for those riding in<br />
the ‘wrong’ direction (which is understandable as they are<br />
closest to the head on motor traffic).<br />
And at intersections on this one sided facilities there are<br />
more conflicts and accidents, again with these cyclists in<br />
the ‘wrong’ direction being the ‘unexpected direction’ for<br />
other road users. Also the overtaking by mopeds on these<br />
two-directional tracks is perceived as less safe and comfortable.<br />
The overall conclusion is that in urban environments<br />
two sided one directional tracks are in general the<br />
most preferred bicycle facilities. One sided two directional<br />
tracks should only be applied if it is clear that the advantages<br />
of a decreased need for crossing the main carriageway<br />
exceed the described disadvantages.<br />
• The interaction with crossing pedestrians is asking for<br />
attention as well. As this often happens unexpectedly<br />
and all along the route, this requires some extra width<br />
for avoiding manoeuvres. An additional width of 0.50 m<br />
of the bicycle track is recommended at locations where<br />
many crossing pedestrians can be expected (Instituut<br />
voor Zintuigfysiologie 1981). In general and particularly<br />
at dedicated pedestrian crossings it is important that pedestrians<br />
can see where and from which directions they<br />
can .expect cyclists. The coloured pavement enhancing<br />
the recognisability of the bicycle track contributes to this.<br />
Findings and conclusions with regard to the intersection<br />
designs:<br />
The research into the design aspects of ‘unregulated<br />
priority crossings’, i.e. intersections without traffic lights<br />
providing right of way to the cyclists on the bicycle route,<br />
is probably the most significant research about design aspects<br />
of cycling facilities of these projects. Therefore we<br />
will go into a bit more detail on the aspects of intersection<br />
design.<br />
• In both bicycle routes intersection designs were implemented<br />
that intended to have an impact on the speed,<br />
manoeuvring and interaction by the road users. Main purpose<br />
was to accomplish that car drivers would approach<br />
the bicycle route with low speeds and that they would be<br />
alerted to the presence of cyclists so as to give them right<br />
of way. For this purpose bumps and road humps were<br />
applied as well as road narrowings of the side streets just<br />
before the crossing with the bicycle route. Also the designers<br />
applied at some intersections areas with more or<br />
less uneven cobble stones to influence the manoeuvring<br />
of (personal) cars. The idea was that the discomfort of<br />
driving over the cobble stones would make that car drivers<br />
would avoid riding over these cobblestones (thus forced<br />
to make the intended manoeuvre across the intersection<br />
with a smaller turning radius and to cross the bicycle track<br />
in a right angle) whereas larger vehicle (needing more<br />
space) still could make their manoeuvres across the intersection<br />
using the area with the uneven pavement. Find<br />
below a few examples of intersection designs applied in<br />
The Hague.<br />
• The observation study systematically distinguished all<br />
possible interactions between one or two directional bicycle<br />
tracks on the one hand and one or two directional<br />
crossing motor traffic on the other hand. A further distinction<br />
was made to situations in which motor traffic would<br />
only cross the bicycle route; would cross the bicycle route<br />
and subsequently the main carriageway; or would first<br />
cross the main carriageway and then the bicycle route.<br />
By systematic zoning of the intersection the behaviour of<br />
road users in each zone could be analysed. In an ideal<br />
situation before and after studies would have been done,<br />
but this wasn’t possible as the research method was<br />
only developed after the bicycle routes had been implemented.<br />
Therefore some control intersections have been<br />
selected in order to determine the effects of the applied<br />
design elements.<br />
22 23
• Manoeuvre behaviour: The intended effect of the applied<br />
areas with cobblestones did only occur when they<br />
were paved very uneven. Visually marked areas with a<br />
smooth surface were less effective to enforce the intended<br />
manoeuvre behaviour. The project in Tilburg showed<br />
that extreme bumps to steer manoeuvre behaviour can<br />
also be counterproductive: if the intended manoeuvre appears<br />
too difficult or uncomfortable car drivers might try to<br />
avoid these bumps in other ways, sometimes by invading<br />
the bicycle track.<br />
Figure 3.11: An intersection with 5m distance between<br />
ramps and the edge of the bicycle track<br />
Figure 3.9: Four examples of intersection designs<br />
The speed behaviour of drivers coming from zone 7 or 4,<br />
i.e. the cars approaching the bicycle route from the other<br />
direction, was observed as well. Although the minimum<br />
speeds measured were higher than the speeds of cars<br />
coming from zone 1, the speed was still significant lower<br />
than in cases without speed humps. The difference was<br />
least for cars making a right turn to cross the bicycle route.<br />
Next behavioural elements to analyse were identified:<br />
• Speed behaviour upon approaching the bicycle route<br />
(mainly in zone 1;<br />
• The lining up behaviour in case of traffic on the main<br />
carriageway parallel to the bicycle route (mainly in zone<br />
2 and 3);<br />
• Manoeuvre behaviour and interactions with cyclists on<br />
the bicycle route.<br />
• Speed behaviour: The application of road humps (or<br />
table crossings) over which the bicycle route was aligned<br />
in combination with narrowings of the side streets just<br />
before the crossing appeared to work quite well. As car<br />
drivers would slow down anyway when approaching the<br />
main carriageway, the deceleration was larger in case of<br />
the hump or table crossing. But the most significant effect<br />
was the location of the deceleration. Without a speed<br />
hump the cars would slow down just before the main carriageway,<br />
whereas in the case of the road hump or table<br />
crossing with the bicycle route they would slow down before<br />
crossing the bicycle route. Having the ramp 5 m before<br />
the edge of the bicycle route had significant better effects<br />
than having the ramp just at the edge of the bicycle<br />
route. So the effect of the humps was that car drivers will<br />
slow down more and earlier.<br />
Figure 3.10: Zoning categories: in zone 1 (or zone 7) traffic<br />
from the side way is approaching the bicycle route<br />
• Lining up behaviour: Also the lining up behaviour was<br />
positively influenced by the presence of the road humps.<br />
In case of humps or table crossings cars coming from<br />
zone 1 have clearly their minimum speed before the bicycle<br />
route when there are cyclists, whereas in cases<br />
without humps the minimum speed is on or even beyond<br />
the bicycle route. The lining up in this direction, however,<br />
hasn’t been analysed explicitly. The lining up in zone 2<br />
and 3 is looked at in case they hadn’t to give way to cyclists<br />
but had to wait for cars on the main carriageway.<br />
The desired lining up would be in zone 3 without blocking<br />
the bicycle route in zone 2. Here the position of the ramp<br />
of the road hump in combination with the available width<br />
of zone 3 appears to make a significant difference. Zone<br />
3 has to be wide enough to position the car, but even if<br />
this is the case it makes a difference whether the ramp is<br />
at the edge of the bicycle route or 5 m from the edge of<br />
the bicycle route (at the edge of the main carriageway).<br />
In the latter case cars are making significantly less stops<br />
blocking the bicycle route over 1 m or more. The reason<br />
for this is that in case the ramp is at 5 m from the edge of<br />
the bicycle route, they don’t have to worry about their rear<br />
wheels being at the ramp<br />
Figure 3.12 and figure 3.13: Cobble stone area and<br />
bump to steer manoeuvre behaviour.<br />
• Conflicts: the observation study also revealed that conflicts<br />
between cars and cyclists on a two directional bicycle<br />
track tend to be more serious between the car and<br />
the first stream of cyclists the car driver is crossing. And<br />
also that the number of serious conflicts is influenced by<br />
the most frequently occurring (directions of the) manoeuvres<br />
across the intersection. Clarity about the manoeuvres<br />
that can be expected helps, and intersections at the<br />
bicycle routes had less serious conflicts than the control<br />
intersections.<br />
24 25
• With regard to intersections with traffic lights it appears<br />
that cyclists hardly noticed any difference between traffic<br />
light adjustments on the bicycle route and at other intersections.<br />
What they liked most was that the number of intersections<br />
with traffic lights was diminished at the bicycle<br />
route and for that reason they had less delay. Again this<br />
underlines the importance of the requirement of directness.<br />
3.6.5 Economy<br />
With the implementation of the bicycle routes the position<br />
of shops was a big issue. Especially in The Hague shop<br />
keepers weren’t very happy with the implementation of<br />
the route (which was one of the first projects in their kind).<br />
The implementation of several parts of the route got seriously<br />
delayed because of the opposition of shop keepers<br />
and in the end some parts that had been planned were<br />
never implemented. The fear for loosing volume of business<br />
is only too understandable. Therefore a research<br />
was done on the impact of the bicycle route and its implementation<br />
on shop sales along the route.<br />
The research in The Hague compared the developments<br />
in the turnover of the shops along the bicycle route with<br />
the country wide average turnover developments and<br />
the development of a similar control group of comparable<br />
shops. For the shops in Tilburg it appeared impossible<br />
to compose a proper control group and thus only<br />
the comparison was made with the country wide trends.<br />
Nevertheless the findings in both cities were consistent<br />
with each other.<br />
In both cities the volume of business of shops along the<br />
bicycle routes was negatively affected in the construction<br />
phase: their turn over was below the country wide average<br />
for similar shops, although this effect was much lower<br />
for shops in the food sector that attracted their clients from<br />
the neighbourhood. After the construction the shops in the<br />
food sector very quickly caught up and performed actually<br />
better than the country wide average. Quite different was<br />
the turnover development of shops in the sector of durable<br />
consumer goods (that often attract their clients from<br />
a wider area): they performed far below the country wide<br />
trends, and also the number of shops closing down in this<br />
sector was relatively high. It should be noted though that<br />
there are large differences between sub-sectors and also<br />
that a number of these shops (especially in The Hague)<br />
were already marginal before the bicycle route was implemented.<br />
In conclusion one can say that the construction phase of<br />
public works will very likely cause some negative impacts<br />
on the development of turnovers of shops. Generally<br />
shops will catch up later and compensate for the losses<br />
in volume of business during the construction. But this is<br />
not true for all sectors. Especially shops in durable consumer<br />
goods seemed (at that time) to be more vulnerable<br />
for changes in the quality of their accessibility (e.g.<br />
because of the reduction parking space) than shops in<br />
the food sector. Explaining factor for this was the difference<br />
in catchment area for the different sectors: when clients<br />
come from the neighbourhood there was hardly any<br />
negative effect, whereas shops that got their clients from<br />
a wider area had more problems with their recovery. One<br />
could even say: there might be winners and their might be<br />
losers. In any case it is good to pay attention to specific issues<br />
that might have impact on the accessibility of shops<br />
for their existing clients (e.g. with regard to parking space,<br />
loading and unloading facilities etc) in order to minimise<br />
the disturbance of businesses.<br />
3.7 Discussion<br />
The ‘demonstration bicycle routes’ implemented in the<br />
late 1970’s in The Hague and Tilburg was the first well<br />
documented case study on the impact of cycling infrastructure.<br />
These projects can be seen as the first serious<br />
attempt to provide high quality infrastructure for cycling<br />
and to study the impacts extensively. Although the projects<br />
suffered from some ambiguity in their set up (trying to<br />
combine a demonstration of feasibility with experimental<br />
designs), the findings of the accompanying researches<br />
contain already many elements which were reflected in<br />
‘Sign up for the bike, design manual for cycle-friendly infrastructure’,<br />
published later in 1993 and updated in 2006<br />
under the title ‘Design manual for bicycle traffic’.<br />
The projects showed a number of things:<br />
• Cyclists do appreciate dedicated facilities for cycling.<br />
What they liked specifically in the two projects was the<br />
(perceived!) improvement of road safety, the experience<br />
of undisturbed cycling, improvements of directness (without<br />
detours and delays), and – with regard to design – the<br />
‘furnishing’ of the route: the red coloured pavement and<br />
other design elements that underlined the tracing,<br />
recognisability and continuity of the route.<br />
• Apart from providing the shortest connection between<br />
origin and destination the directness of a route can be<br />
improved by minimising delays: giving right of way to cyclists<br />
at intersections and minimise the number of traffic<br />
lights on the route.<br />
• However cyclists liked the design of the route, they were<br />
only to a very limited extent prepared to make detours to<br />
take full advantage of the improved cycling conditions. Although<br />
the demonstration routes attracted a great deal of<br />
cyclists from parallel routes, these new routes had more<br />
or less the same length as the earlier used routes or were<br />
shorter.<br />
• Although road safety is considered to be vital by both<br />
bicycle users and policy makers, there was a remarkable<br />
contrast between the impacts of the facilities on the<br />
factual and the perceived road safety: road safety data<br />
showed no or very minor impacts, whereas the perceived<br />
road safety improved substantially. Policy makers were<br />
disappointed about the marginal impact of the facilities on<br />
the ‘objective’ road safety figures.<br />
• The research also suggested that one should be careful<br />
with applying one-sided two directional bicycle tracks:<br />
this type of facility can have a negative impact on both<br />
factual (objective) and perceived (subjective) road safety<br />
of cyclists. Two sided one-directional bicycle tracks are on<br />
average experienced as more safe than one sided twodirectional<br />
cycle tracks. Thus one sided two-directional<br />
tracks should only be applied if there are clear advantages<br />
such as diminishing the need for crossing busy roads.<br />
• With regard to experimental design features the project<br />
provided better understanding of effective design of priority<br />
intersections for cyclists. Very instructive were the observations<br />
of road users’ behaviour at those intersections.<br />
• Furthermore the researchers did some theoretical analyses<br />
so as to shed light on what would be the ideal mesh<br />
width in a network of cycle routes. This provided the basis<br />
for the next demonstration project in this overview of<br />
case studies: the Delft bicycle network, implemented in<br />
the 1980’s.<br />
In general the bicycle route in Tilburg was better appreciated<br />
than the bicycle route in The Hague and this difference<br />
in appreciation appears to be reciprocal correlated<br />
with differences in expectations. Yet the The Hague cyclists<br />
were more in favour of extensions of the bicycle<br />
route than those in Tilburg. But also the opposition in The<br />
Hague appeared to be much stronger. It is a kind of irony<br />
that the municipality of Tilburg after the project started<br />
with the implementation of a comprehensive bicycle network<br />
(which was locally known as Tilburg’s ‘star network’)<br />
with a strong emphasis on radial connections with the city<br />
centre, whereas the municipality of The Hague did not<br />
continue its efforts to substantially improve the cycling<br />
conditions. Continuing complaints of shop keepers eventually<br />
even resulted in the dismantling of large parts of the<br />
bicycle route in The Hague.<br />
26 27
4 The Delft Bicycle Plan<br />
Delft is a medium-sized city in the highly urbanised western<br />
part of the Netherlands. It is located between the conurbations<br />
of Rotterdam and The Hague and on cycling<br />
distance to these two cities (Figure 4.1).<br />
The main infrastructure routes (railway, canal, and motorway)<br />
run north-south through or along the city. In the<br />
Middle Ages Delft was one of the largest cities in Holland.<br />
It has still a large medieval inner city. The city houses a<br />
technical university and a large technical research institute<br />
(TNO). It promotes itself as ‘knowledge city’.<br />
The historic city centre with a low accessibility for cars<br />
as well as the large share of student population gives<br />
Delft a high potential for the bicycle. In 1979 the Delft<br />
Bicycle Plan was launched that aimed at realising a coherent<br />
bicycle network all over the city. At that time, the<br />
city had 85,000 inhabitants. The plan was implemented<br />
in the 1980s and evaluated elaborately. The evaluation<br />
regarded both the whole network and some larger single<br />
projects. In the next sections the plan and the evaluation<br />
of both the network and one single project (the Plantagebrug)<br />
will be discussed.<br />
4.1 Political context<br />
In Section 2 is described that in the 1970s the Dutch national<br />
policy started to give high priority to promote cycling<br />
and improve cycling conditions. Besides, there was need<br />
for more knowledge on the impacts of interventions in bicycle<br />
infrastructure.<br />
The demonstration projects in Tilburg and The Hague<br />
were results of this policy. After these projects were finished,<br />
the national policy continued to promote cycling by<br />
providing subsidies for specific projects, and there was<br />
still demand for more knowledge. The demonstration<br />
projects proved that investments in single bicycle routes<br />
could enhance (the perception of) safety, but that the impacts<br />
on bicycle use are rather small. One assumed that<br />
improvement of a complete network would have a more<br />
significant impact on bicycle use (Ministry of Transport<br />
and Public Works, 1987; Wilmink, 1987).<br />
Figure 4.1: Location of Delft<br />
28 29
In the late 1970s, the medium-sized city of Delft developed<br />
a plan for a coherent bicycle network in the whole<br />
city and requested the central government for a significant<br />
subsidy. The subsidy was granted under the condition<br />
that the implementation would be evaluated elaborately.<br />
The Delft Bicycle Plan was included in the Dutch<br />
second Programme for Person Transport for the period<br />
1980-1984 as an evaluation project (Ministry of Transport<br />
and Public Works, 1986).<br />
The European Economic Community was interested in<br />
the evaluation results and contributed in financing a substantial<br />
part of the costs of the evaluation studies. The<br />
regional authority, the province of South-Holland, played<br />
a minor role in the project. It provided some subsidy for<br />
the implementation. So, four levels of authority were to a<br />
smaller or larger extent involved in the project: local, regional,<br />
national and supranational (Diepens en Okkema,<br />
1994).<br />
4.2 Design<br />
4.2.1 The network<br />
In the Delft Bicycle Plan, three networks on three hierarchical<br />
levels were defined: an urban network, a district<br />
network and a neighbourhood network. The networks<br />
have different functions, service qualities and densities.<br />
All networks have basically a grid-pattern. The existing<br />
infrastructure was basic in the network definition. The objective<br />
of the plan was to upgrade and extend the existing<br />
network in order to achieve a network that satisfies the<br />
requirements of the three defined sub-networks (Ministry<br />
of Transport and Public Works, 1987; Hartman, 1987).<br />
The defined urban network consists of the most important<br />
routes that traverse the entire town and connect to the<br />
regional bicycle system. The function is to accommodate<br />
the larger inter-district bicycle trips as well as the regional<br />
trips that go into or outside the city. It has high standards<br />
for capacity, velocity and convenience. Important barriers<br />
like canals, railways and main roads are crossed at a separate<br />
level. The link spacing is 400-600 m. Frequented facilities<br />
that serve the whole city like railway stations, secondary<br />
schools, and main shopping centres are directly<br />
connected to the network.<br />
The defined district network has two functions. It provides<br />
adequate infrastructure for bicycle trips inside districts<br />
and collects and distributes bicycle traffic to and from the<br />
urban network. The links are spaced 200-300 m. Facilities<br />
like primary schools and shops are connected to the<br />
network.<br />
The neighbourhood network connects the individual<br />
houses to the other networks. It comprises the remaining<br />
streets and shortcuts for the bicycle. The link spacing is<br />
about 100 m.<br />
Figure 4.2: The defined bicycle network<br />
In the before situation, 75% of the defined network already<br />
existed according to the Ministry of Transport and<br />
Public Works (1987). We assume that this figure relates<br />
only to the urban network; for the whole network the figure<br />
is likely to be in the order of 90%. For completion of the<br />
defined network a large number of different projects had<br />
to be executed. Not all defined projects were implemented,<br />
and others were implemented outside the framework<br />
of the bicycle plan. Some projects would only have been<br />
realised if planned new residential quarters had been<br />
developed, a few other expensive projects were subsidised<br />
separately and not considered to be part of the plan<br />
any more (Ten Grotenhuis, 1987). Diepens en Okkema<br />
(1994) assume that some projects were not implemented<br />
because of the high investment costs.<br />
4.2.2 The projects<br />
Plantagebrug<br />
Inner city<br />
Old districts (before<br />
WWII)<br />
Motorway<br />
Railway<br />
Canal<br />
University campus<br />
New districts (after<br />
WWII)<br />
Table 4.1 gives an overview of the numbers of implemented<br />
projects and the length of the infrastructure involved<br />
by project type and sub-network (Diepens en Okkema,<br />
1993). The table demonstrates that a large number of<br />
projects with quite varying natures are executed. Most effort<br />
is made for realising the urban and district networks,<br />
in particular the urban network that is highest in the hierarchy.<br />
The project investments covered the period 1979<br />
to 1991, but most of them were made between 1982 and<br />
1987.<br />
4.3 Organisation and implementation<br />
One of the lessons of the demonstration projects in Tilburg<br />
and The Hague was that good communication with<br />
urban<br />
network<br />
the residents is important for a successful project. In the<br />
Delft case this lesson has been taken to heart. Communication<br />
with interest groups and residents was essential<br />
in the project.<br />
Communication has been done at two levels. First, the<br />
bicycle plan was discussed with a number of general interest<br />
groups, like the Cyclists’ Union, the Traffic Safety<br />
Association, the Pedestrian Association, the Chamber of<br />
Commerce, the Shopkeepers Federation, schools, and<br />
homes for the elderly. These groups could comment on<br />
the plan and suggest adaptations. They had a positive<br />
attitude towards the plan, being bicycle improvements<br />
generally in their favour (ten Grotenhuis, 1987).<br />
district<br />
network<br />
intersections<br />
urban/district<br />
network<br />
neighbourhood<br />
network<br />
# of<br />
proj.<br />
length<br />
(km)<br />
# of<br />
proj.<br />
length<br />
(km)<br />
# of<br />
proj.<br />
length<br />
(km)<br />
# of<br />
proj.<br />
length<br />
(km)<br />
building new bicycle 19 10.5 4 1.3<br />
path<br />
reconstructing bicycle 1 1.8<br />
path<br />
making short cut 4 0.2 10 0.75 2 0.15 1 0.05<br />
defining bicycle lane, 3 1.9 2 1.7<br />
widening road<br />
abolish one way 4 1.8 10 1.55 12 1.65<br />
traffic for bikes<br />
phasing traffic lights 1 0 2 0 4 0<br />
installing traffic lights 3 0 2 0 4 0<br />
permitting cyclists a<br />
free right turn at<br />
traffic lights<br />
1 0 3 0 3 0<br />
reconstructing 6 0 1 0 6 0<br />
intersections<br />
providing crossover 4 0 3 0 1 0<br />
building bridge 3 0.15 4 0.2<br />
reconstructing bridge 1 0.05<br />
building tunnel 1 0.1 1 0.05<br />
providing bicycle 2 0<br />
stands at transit stops<br />
total 53 16.5 42 5.55 19 0.15 14 1.7<br />
Table 4.1: Number of projects and infrastructure length by type of project and network.<br />
30 31
Second, for the individual projects a discussion was organised<br />
with the residents living in the neighbourhood<br />
of a project. A positive attitude was less natural for them<br />
than for the interest groups. In communication with the<br />
residents, the strategy was not to start with informing<br />
them about the plan, but to ask what traffic-relating problems<br />
they were faced with. Starting from the problems<br />
mentioned, solutions were proposed that regarded bicycle<br />
infrastructure and that were in accordance with the<br />
bicycle plan. The discussions gave also cause for some<br />
adaptations of the plan. This strategy contributed to a<br />
general support of the citizens towards the plan: existing<br />
problems were solved (according to interviews conducted<br />
in the framework of Transecon, 2003).<br />
urban<br />
network<br />
4.4 The costs<br />
The estimated costs of the original plan were 70 million<br />
HFL (Dutch guilders). This amount was in the early<br />
1980’s equal to 25 million ECU (European Currency<br />
Unit, the precursor of the Euro). As mentioned in Section<br />
4.2.1, some expensive projects were not realised, or not<br />
realised in the framework of the bicycle plan. For that reason,<br />
the actual investments that were connected to the<br />
plan were considerably lower: nearly 30 million HFL (12<br />
million ECU). Table 4.2 gives an overview of these costs<br />
by type of project and sub-network (Diepens en Okkema,<br />
1993). For about 1 million HFL, 3% of the expenditures,<br />
the employment could not be found out afterwards.<br />
district<br />
network<br />
intersections<br />
urban/district<br />
network<br />
neighbourhood<br />
network<br />
building new bicycle 3.802 1.464<br />
path<br />
reconstructing bicycle 1.018<br />
path<br />
making short cut 258 888 109 0<br />
defining bicycle lane, 20 25<br />
widening road<br />
abolish one way traffic 40 105 89<br />
for bikes<br />
phasing traffic lights 0 0 6<br />
installing traffic lights 50 0 0<br />
permitting cyclists a free 25 213 62<br />
right turn at traffic lights<br />
reconstructing<br />
711 0 1941<br />
intersections<br />
providing crossover 213 407 7<br />
building bridge 4129 298<br />
reconstructing bridge 0<br />
building tunnel 9496 2796<br />
providing bicycle stands 138<br />
at transit stops<br />
total attached to projects 19900 6196 2118 96<br />
employment unknown 978<br />
total 29288<br />
Table 4.2: Investment costs in 1000 HFL by type of project and network.<br />
The municipality of Delft received subsidies of about 19<br />
million HFL. The sources of the subsidies could be found<br />
out for only a part of this amount: the national government<br />
paid 10 million HFL, the development company of Delft<br />
paid 4 million HFL, and the province of South-Holland<br />
paid 1 million HFL. The remaining 4 million HFL is likely<br />
to be paid mainly by the national government (Diepens en<br />
Okkema, 1994).<br />
In addition to the implementation of the project, costs<br />
have been paid for the evaluation. A large number of evaluation<br />
studies have been carried out that together cost<br />
3.46 million HFL (1.39 million ECU). About 50% of these<br />
costs were financed by the national government, 40% by<br />
the European Community, and the remaining 10% by the<br />
municipality of Delft (Diepens en Okkema, 1994).<br />
Market and<br />
main shopping<br />
area<br />
Figure 4.3: Location of the bridges spanning the Rijn-Schiekanaal<br />
4.5 One single project: the Plantagebrug<br />
One of the most expensive single projects is the Plantagebrug,<br />
the largest of the newly built bridges. This bridge is<br />
dedicated to cyclists and pedestrians. The Plantagebrug<br />
was evaluated separately and will be discussed in this<br />
report.<br />
Figure 4.2 indicates the location of the Plantagebrug within<br />
the city. The bridge is part of the urban bicycle network<br />
(network corridor II) and links the quarters in the northeastern<br />
part of the town with the inner city. The bridge<br />
spans the Rijn-Schiekanaal that encloses the inner city<br />
at the east and south sides. It is built halfway two other<br />
bridges, the Reineveldbrug and the Koepoortbrug, that<br />
have a mutual distance of about 1.2 km. Figure 4.3 shows<br />
the locations of the three bridges.<br />
Reineveldbrug<br />
Plantagebrug<br />
Koepoortbrug<br />
32 33
The Reineveldbrug is part of the main access road to<br />
Delft from the north. The bridge comprises four car lanes,<br />
a tramway, two bicycle lanes and one sidewalk. There is<br />
no physical separation between the car lanes or between<br />
the car and bicycle lanes. Car volumes are high (about<br />
17,000 in a 12 hours period in the time of the project) and<br />
cars move at rather high speeds. The bridge is high; the<br />
headroom is about 4 m. It was opened 15-20 times per<br />
day.<br />
The Koepoortbrug has a more local function. It links the<br />
eastern districts with the city centre. It was at the time a<br />
narrow bridge for mixed traffic and rather high car volumes:<br />
6,000 in a 12 hours period. It is a low bridge; the<br />
headroom is about 2.5 m. The bridge was opened about<br />
30 times per day.<br />
The Plantagebrug is built in order to:<br />
• adding a missing link to the urban network;<br />
• reduce the severance of the canal;<br />
• offer a more comfortable and safe connection for cyclists<br />
between the eastern districts and the centre. The Plantagebrug<br />
is more comfortable than the Reineveldbrug<br />
because there is no need to overcome long and steep<br />
slopes, and it is safer than the other bridges because car<br />
traffic is absent.<br />
The Plantagebrug is built exclusively for cyclists and pedestrians.<br />
The headroom is about 2.5 m, just like the Koepoortbrug.<br />
The width of the bicycle path on the bridge is<br />
about 4.5 m., and there are two sidewalks of about 1.5<br />
m. each. The length of the bridge is about 50 m. Opening<br />
and closing of the bridge are operated from the Koepoortbrug<br />
with the help of video equipment. The bridge was<br />
built from spring 1985 to summer 1986. The investment<br />
costs were 3,790,535 HFL (about 1.6 million ECU).<br />
In addition to building the bridge and access roads to<br />
the bridge, some measures for improving the network<br />
for cyclists that cross the bridge are implemented. These<br />
include a reconstruction of two crossovers east of the<br />
bridge, one at the Insulindeweg and the other at the van<br />
Miereveltlaan, and building a new route for cyclists west<br />
of the bridge, along the Kantoorgracht.<br />
4.6 Set-up of the evaluation studies<br />
The national government subsidised part of the project<br />
under the condition that the project would be evaluated<br />
elaborately. The evaluation should generate knowledge<br />
on the use and experience of urban bicycle networks that<br />
can be used for policy development by local governments.<br />
The studies should give answers on next questions:<br />
• Does the implementation of a comprehensive bicycle<br />
network lead to an increase in bicycle traffic?<br />
• Does the implementation of a bicycle network increase<br />
road safety?<br />
• In which way do cyclists use a comprehensive and integral<br />
bicycle network which is perceived as such, and what<br />
are their behavioural responses?<br />
The principal hypothesis was that a comprehensive and<br />
integral bicycle network affects bicycle use and its quality<br />
more than a number of single bicycle routes (Ministry of<br />
Transport and Public Works, 1987).<br />
The project evaluation has been done both for the network<br />
as a whole and in-depth for two separate parts of the<br />
network: the accessibility of the main railway station and<br />
the newly built Plantagebrug. In this report we discuss the<br />
set-up and results of evaluations of the whole network<br />
and the Plantagebrug.<br />
The evaluation of the whole network includes the impacts<br />
on travel behaviour (bicycle use, modal choice, origindestination<br />
pattern, and route choice), traffic safety for<br />
cyclists, and the perception of safety and comfort for cyclists.<br />
The evaluation of the Plantagebrug focuses on the<br />
impact on canal crossing cycling and the accessibility of<br />
the city centre.<br />
The impacts are investigated by before and after studies.<br />
For a number of impacts of the whole network, both<br />
a short-term and a long-term after study have been performed.<br />
The latter should give evidence to what extent<br />
initial impacts continue to be valid in the long run. The<br />
before studies were carried out between 1982 and 1983,<br />
the short-term after studies between 1985 and 1986, and<br />
the long-term after studies in the early 1990’s.<br />
For estimating the short-term network impacts on travel<br />
behaviour, two experimental areas and one control area<br />
are defined (Figure 4.4). The experimental areas are the<br />
Noordwest district, an older district west of the city centre,<br />
and the Tanthof district, a new residential area at the far<br />
southwest of the city. The control area is the Wippolder<br />
district, an older district southeast of the city centre. The<br />
Tanthof-district differs from the two other districts by a significant<br />
larger distance to the city centre (“centrum”) and<br />
by a significant younger population. The Tanthof residents<br />
were mainly young households with young children.<br />
Figure 4.3: Location of the bridges spanning the<br />
Rijn-Schiekanaal.<br />
In the two experimental areas the measures of the bicycle<br />
plan were implemented in the few years between the data<br />
collections for the before and after studies (1983-1985);<br />
data collection for the after studies started a half year<br />
after the implementation finished. In the control district<br />
implementation of the measures started after the data for<br />
the after studies had been collected (Katteler et al, 1984,<br />
1987).<br />
For the results on city level, the other medium-sized cities<br />
in the Netherlands functioned as control cities. These<br />
included all municipalities with 50,000 to 200,000 inhabitants<br />
(47 cities).<br />
4.7 The impacts of upgrading the<br />
network<br />
4.7.1 Travel behaviour<br />
Travel behaviour has a spatial and a temporal dimension.<br />
The spatial dimension regards the origin-destination pattern<br />
by mode and route. This is the result of choices regarding<br />
trip frequency, destinations, modes, and routes.<br />
The temporal dimension adds the time component to the<br />
spatial movements and is the result of choices regarding<br />
departure times and speeds. Both dimensions together<br />
explain volumes by network link, mode and time. The<br />
evaluation studies for the Delft bicycle project focus on<br />
the impacts on the spatial dimension of travel behaviour,<br />
in particular mode choice and route choice.<br />
Mode choice<br />
The impacts of the bicycle plan on modal choice have<br />
been investigated on both the short term and the long<br />
term. First the short-term analysis will be described. A<br />
short description of the long-term analysis is included at<br />
the end of the section.<br />
The short-term impacts of modal choice have been examined<br />
by descriptive surveys on travel behaviour and<br />
by in-depth interviews on the motivation why the bicycle<br />
or an alternative mode was chosen. The descriptive surveys<br />
were conducted before and shortly after the measures<br />
were implemented. For the before survey a sample<br />
of households from the two experimental areas and the<br />
control area was addressed. A number of households<br />
from the sample was selected for the in-depth interviews<br />
that were conducted in the before period as well. In the<br />
short-term after period, the selected households were addressed<br />
again for detailed questions about their changes<br />
in modal choice and changes in the perception of the<br />
quality of the bicycle network (see Section 4.7.3). Not all<br />
of them responded, partly because they had moved between<br />
the two periods. Those who did respond are indicated<br />
as the “panel”. For the descriptive after survey, a<br />
new sample was drawn. This sample included the panel<br />
as well as households that were not addressed in the before<br />
survey.<br />
34 35
Table 4.3 shows the gross and net samples of the descriptive<br />
before and after surveys in the three study areas.<br />
The sample was larger in the before period than in<br />
the after period.<br />
The samples of households that were selected for the indepth<br />
interviews and those that participated in the panel<br />
are displayed in Table 4.4.<br />
Descriptive analysis<br />
The descriptive surveys aimed to give a description of<br />
travel behaviour on working days in the before and shortterm<br />
after periods. The sample unit was the household.<br />
Household members were asked about personal characteristics<br />
and characteristics of the household. Those aged<br />
10 or older were additionally asked about activities outdoors<br />
and connected trips on a selected day. The questionnaires<br />
in the before and after periods were identical.<br />
The surveys were conducted in the autumns of 1982 (before<br />
period) and 1985 (after period). Both surveys cover<br />
a two weeks period from late October to early November<br />
with a continuation up to the end of November for late<br />
responses. The weather conditions were comparable in<br />
the first three to four weeks of both periods but diverged in<br />
late November, when in the after period the temperature<br />
became significant lower than in the before period (0 versus<br />
10 degrees Celsius). The difference in the last one<br />
to two weeks might have had just a minor effect on the<br />
results because it relates to only 5-10% of the response.<br />
The surveys produced results on person level and trip<br />
level. Table 4.5 shows general characteristics of person<br />
travel before and after by residents of the three study areas.<br />
The figures show some small differences between the<br />
three districts regarding travelling of their residents and<br />
differences between the before and after periods. Residents<br />
of the Tanthof have a slightly higher level of travelling<br />
(in frequency, duration and distance) than those<br />
of the other districts, while residents of Wippolder make<br />
the lowest trip numbers and trip kilometres. Changes between<br />
the before and after periods tend to reduce the differences<br />
between the districts. Trip frequency, duration<br />
and distance of Tanthof residents decrease somewhat,<br />
travelled distance of Wippolder residents increased.<br />
The study reports give no evidence about significance of<br />
the results. Assuming that the observed changes in Tanthof<br />
and Wippolder are significant, they might or might not<br />
be induced by the improved bicycle network. The reduced<br />
travel distance of Tanthof residents could be attributed to<br />
shortening bicycle routes to the city centre; the reduced<br />
travel speed could be due to modal shift from car to bicycle.<br />
However, other explanations can be given as well.<br />
Possibly, the orientation of the new suburb of the Tanbefore<br />
period<br />
short-term after period<br />
gross sample net sample gross sample net sample<br />
Noordwest 2800 1937 1190 798<br />
Tanthof 950 716 369 267<br />
Wippolder 950 602 396 231<br />
total 4700 3255 1955 1296<br />
Table 4.3: Sample sizes of the descriptive surveys (number of households)<br />
interview before period panel (before and after)<br />
Noordwest 398 232<br />
Tanthof 100 50<br />
Wippolder 100 59<br />
total 598 341<br />
Table 4.4: Sample sizes of the households that were interviewed in-depth<br />
Noordwest Tanthof Wippolder<br />
1982 1985 1982 1985 1982 1985<br />
persons going outside* 87.7% 88.6% 91.8% 91.0% 82.9% 81.7%<br />
trips per person per day 3.89 3.86 4.04 3.92 3.43 3.43<br />
travel time pppd 62 63 71 69 59 62<br />
(minutes)<br />
travel distance pppd (km) 19.8 20.6 25.4 23.0 16.6 18.9<br />
average speed (km/h) 19.2 19.6 21.5 20.0 16.9 18.3<br />
Table 4.5: Travel characteristics of persons >= 10 years old on working days<br />
*Persons that leave their home at least one time on the enquiry day<br />
1981 1982 1983 1984<br />
persons going outside 90.2% 90.0% 90.2% 90.7%<br />
trips per person per day 3.22 3.20 3.18 3.30<br />
travel time pppd (minutes) 58 58 57 58<br />
travel distance pppd (km) 23.7 24.2 23.2 23.8<br />
average speed (km/h) 24.4 25.0 24.6 24.6<br />
Table 4.6: Travel characteristics of Dutch residents of medium-sized cities >= 12 years old on working days<br />
thof shifted somewhat from the distant city centre to the<br />
own district, lowering the level of travelling. In the case of<br />
Wippolder that was deprived of infrastructural improvements<br />
in both the before the after periods, the increased<br />
distance could be attributed to the fact that the residents<br />
benefited from the improvements elsewhere in the town.<br />
However, there may be other factors that raise the initially<br />
low number of travel kilometres to a more normal level.<br />
The increased travel distance in the control region cannot<br />
be observed in national figures. Table 4.6 gives corresponding<br />
figures for travelling of Dutch residents of<br />
medium-sized cities (50,000 to 200,000 inhabitants) in<br />
the period 1981 to 1984. The source is the Dutch national<br />
travel survey (OVG). We selected 1981-1984 because<br />
in 1985 the survey set-up changed considerably making<br />
the outcomes of 1985 not comparable to those of former<br />
years. The national figures demonstrate a high stability of<br />
travel behaviour in the early 1980’s.<br />
The general travel figures give no clear evidence of impacts<br />
of the improved bicycle network. Focussing on the<br />
role of the bicycle might give more information. Table 4.7<br />
presents figures on bicycle use. The figures regard only<br />
the use of the bicycle as the main mode of a trip.<br />
36 37
Noordwest Tanthof Wippolder<br />
1982 1985 1982 1985 1982 1985<br />
persons using a bike* 49.5% 50.0% 49.7% 50.8% 46.0% 44.4%<br />
trips per person per day 1.80 1.86 1.57 1.67 1.70 1.70<br />
travel time pppd 23 23 24 25 24 25<br />
(minutes)<br />
travel distance pppd (km) 4.1 4.5 4.7 5.3 4.2 5.2<br />
average speed (km/h) 10.7 11.7 11.8 12.7 10.5 12.5<br />
Table 4.7: Characteristics of bicycle travel by persons >= 10 years old on working days<br />
*Persons that use at least one time a bicycle on the enquiry day<br />
1981 1982 1983 1984<br />
persons using a bike 36.8% 36.9% 37.8% 40.0%<br />
trips per person per day 1.03 1.03 1.04 1.15<br />
travel time pppd (minutes) 14 14 14 16<br />
travel distance pppd (km) 2.9 2.9 2.9 3.2<br />
average speed (km/h) 12.1 12.4 12.1 11.9<br />
Table 4.8: Characteristics of bicycle travel by Dutch residents of medium-sized cities >= 12 years old on working<br />
days.<br />
Noordwest Tanthof Wippolder<br />
1982 1985 1982 1985 1982 1985<br />
walk 25.8% 25.7% 17.6% 17.3% 23.0% 23.7%<br />
bicycle 40.5% 42.6% 35.7% 39.0% 41.0% 40.4%<br />
moped,<br />
1.8% 1.4% 1.9% 2.6% 2.0% 1.0%<br />
motorcycle<br />
car driver 21.0% 21.1% 31.9% 28.5% 21.3% 23.8%<br />
car passenger 4.5% 4.9% 5.4% 6.3% 5.2% 6.2%<br />
public transport 6.3% 4.3% 7.3% 6.3% 7.4% 4.9%<br />
other 0.1% 0.0% 0.2% 0.0% 0.1% 0.0%<br />
Table 4.9: Modal split (main modes) of trips of persons >= 10 years old on working days<br />
Comparing Tables 4.7 and 4.8, one could conclude that<br />
bicycle use in Delft was relatively high, even in the before<br />
period. However, one should be cautious. Both tables are<br />
based on travel surveys with different designs, and history<br />
learned that changes in the design of the Dutch national<br />
travel survey affected the outcomes regarding travel behaviour<br />
significantly. Bovy and Den Adel (1987) found that<br />
the number of bicycle trips per person per day by Delft<br />
residents reported in the national survey was close to the<br />
national average for medium-sized cities.<br />
Another indication for a possible impact of the bicycle network<br />
improvements is the development in the modal split.<br />
Table 4.9 shows an increase of bicycle share in the two<br />
experimental areas and no increase in the control area.<br />
This result suggests that the improvements encouraged<br />
bicycle use. The increase in bicycle use was at the expense<br />
of public transport use and (only in Tanthof) car use<br />
as a driver. Decrease of public transport patronage is also<br />
observed in the control area and might be independent<br />
of the bicycle improvements. In that case the bicycle network<br />
might have affected that not the car but the bicycle<br />
benefited from decreasing transit use.<br />
1981 1982 1983 1984<br />
walk 20.1% 20.6% 20.4% 20.3%<br />
bicycle 32.1% 32.3% 32.1% 34.3%<br />
moped, motorcycle 1.9% 2.0% 1.8% 1.4%<br />
car driver 29.1% 28.7% 30.2% 28.4%<br />
car passenger 10.7% 10.2% 10.2% 10.4%<br />
public transport 5.6% 5.8% 5.0% 4.8%<br />
other 0.4% 0.5% 0.3% 0.4%<br />
Table 4.10: Modal split (main modes) of trips of Dutch residents of medium-sized cities >=<br />
12 years old on working days.<br />
National figures support the finding of decreasing transit<br />
use by residents of medium-sized cities (Table 4.10).<br />
The figures are somewhat fuzzy regarding the modes that<br />
benefited from the lower transit share. The figures from<br />
1983 suggest an increase in car use as a driver while<br />
those from 1984 indicate that the bicycle is the only benefiter.<br />
Bovy and den Adel (1987) compared modal shares<br />
in the Dutch medium-sized cities and found significant<br />
negative correlations between transit use and car use on<br />
the one hand and transit use and bike use on the other<br />
hand. The correlation with bike use is a little stronger than<br />
that with car use. Therefore, it is likely that bicycle use in<br />
medium-sized cities increased in the period concerned.<br />
As a consequence, the increase in the two Delft experimental<br />
districts might partly be explained by other factors<br />
than the bicycle improvements.<br />
National figures support the finding of decreasing transit<br />
use by residents of medium-sized cities (Table 4.10).<br />
The figures are somewhat fuzzy regarding the modes that<br />
benefited from the lower transit share. The figures from<br />
1983 suggest an increase in car use as a driver while<br />
those from 1984 indicate that the bicycle is the only benefiter.<br />
Bovy and den Adel (1987) compared modal shares<br />
in the Dutch medium-sized cities and found significant<br />
negative correlations between transit use and car use on<br />
the one hand and transit use and bike use on the other<br />
hand. The correlation with bike use is a little stronger than<br />
that with car use. Therefore, it is likely that bicycle use in<br />
medium-sized cities increased in the period concerned.<br />
As a consequence, the increase in the two Delft experimental<br />
districts might partly be explained by other factors<br />
than the bicycle improvements.<br />
When modal splits in the Delft survey are compared for<br />
different person characteristics, the increase in the share<br />
of the bicycle in the two experimental areas is particularly<br />
large for men, middle-aged persons, retired persons, and<br />
employees. Regarding ownership of a drivers’ license the<br />
results differ in both districts. In Noordwest bicycle use<br />
increased substantially by non-owners of a license, while<br />
in Tanthof just the owners of a license used the bicycle<br />
more frequently. At trip level, the increase in the share of<br />
the bicycle is observed mainly in commuting trips to work<br />
or school and, only in Tanthof, in transporting/escorting<br />
persons.<br />
In-depth analysis<br />
A selection of the households that responded to the before<br />
survey was approached for an in-depth interview in<br />
the before period and, as far as they responded again, for<br />
the short-term after period as well. The before interviews<br />
should explain why people use or use not a bicycle for actually<br />
made trips and estimate the potential for increasing<br />
bicycle use. The after interviews should register changes<br />
in motives for bicycle use and its potential, and give information<br />
about modal shifts.<br />
The interview periods were September and October 1983<br />
(before period) and late 1985 + early 1986 (after period).<br />
The interviews were conducted with the household members<br />
aged 10 years or older in one setting. The interviewers<br />
were attentive to spontaneous responses and tried to<br />
generate these by encouraging interaction between the<br />
interviewed persons. The average duration of the interviews<br />
was 1.5 hours in the before period and 1.25 hours<br />
in the after period. The variation was large, partly dependent<br />
on the number of trips that were discussed and the<br />
number of participants.<br />
One of the results from the interviews is knowledge about<br />
hindrances for bicycle use. Starting from the trips that<br />
were not made by bicycle, a large number of reasons for<br />
38 39
not using the bicycle was reported. The reasons were<br />
classified into six categories: no opportunity for using a<br />
bike (for instance no bicycle was available, distance is too<br />
long); practical matters that hamper bicycle use (e.g. luggage<br />
transport) or force to use an alternative mode (e.g.<br />
one should have the car available at the destination);<br />
(perception of) travel time; (perception of) insufficient<br />
infrastructure and traffic situation; (perception of) inconvenience<br />
and insecurity of cycling; and personal preferences<br />
regarding use of the bicycle or other modes. There<br />
is a remaining seventh category consisting of non-bicycle<br />
trips with no hindrance for bicycle use.<br />
Table 4.11 shows the magnitude of the different hindrances<br />
in the before and after periods, starting from the most<br />
objective hindrances and going to the most subjective<br />
ones. The latest category shown is the category without<br />
any hindrance, indicated as ‘freedom of choice’. Two<br />
kinds of hindrances are distinguished: general hindrances<br />
that always are valid for a certain trip (for instance the distance<br />
is too large) and incidental hindrances that are valid<br />
only on the enquiry day (e.g. unlike on other days, the<br />
traveller was accompanied by grandmother who doesn’t<br />
cycle any more).<br />
Practical matters and travel time are the most important<br />
reasons for not using a bicycle. The magnitude of both<br />
hindrances decreased slightly between the before and after<br />
periods. A larger decrease is observed for each of the<br />
other hindrances. Especially infrastructure and traffic exhibit<br />
a relatively large decrease. This is not surprising because<br />
the bicycle plan aims predominantly to improve the<br />
infrastructural and traffic situation. However, in the before<br />
situation, this hindrance was marginal. Looking at Table<br />
4.11, other kinds of measures might be more efficient for<br />
increasing bicycle use.<br />
The large increase of the freedom of choice category for<br />
non-bicycle trips is mainly valid for trips where walking<br />
or car is the actual mode. For walking trips, the general<br />
freedom to choose the bicycle increased from 14% of all<br />
walking trips to 32%, for car trips the increase was from<br />
13% to 34%. A much smaller increase was observed for<br />
trips by public transport: from 29% to 36%.<br />
In addition to the freedom to choose the bike when actually<br />
another mode is used, there can be a freedom to<br />
choose another mode when actually the bicycle is used.<br />
Where the former are relevant for the potential for bicycle<br />
use, the latter indicate the vulnerability of bicycle use.<br />
Table 4.12 shows the hindrances for walking, car use,<br />
or public transport patronage for trips that actually are<br />
made by bicycle. The presented figures are the general<br />
hindrances; figures about the actual hindrances on the<br />
enquiry day (that have a lower freedom of choice) are not<br />
available. Divergent from Table 4.11, the accumulative<br />
impact of the hindrances on the bicycle trips that remain<br />
free of choice is displayed. In 1982, for 3% of the bicycle<br />
trips walking is no option, leaving 97% free of choice.<br />
Next, practical matters generate hindrances for a part of<br />
the remaining bicycle trips, which part equals 11% of all<br />
bicycle trips. Then 86% is still free of choice. After skinning<br />
the trips for all hindrances in this way, 17% remain<br />
where no hindrance is applicable in general (but might still<br />
be applicable on the enquiry day).<br />
hindrance<br />
before<br />
after<br />
general incidental total general incidental total<br />
bicycle no option 12.1% 1.6% 13.7% 6.7% 1.1% 7.7%<br />
practical matters 35.6% 10.6% 46.2% 23.8% 21.2% 44.9%<br />
travel time 45.4% 5.2% 50.6% 34.4% 9.4% 43.8%<br />
infrastructure and 0.8% - 0.8% - 0.3% 0.3%<br />
traffic<br />
inconvenience, 16.8% 4.8% 21.6% 7.9% 5.2% 13.0%<br />
insecurity<br />
personal preferences 17.4% - 17.4% 12.3% - 12.3%<br />
freedom of choice 15.7% - 3.0% 33% - 7%<br />
Table 4.11: Hindrances for bicycle use in percents of non-bicycle trips.<br />
hindrance<br />
walk car public transport<br />
1982 1985 1982 1985 1982 1985<br />
all bicycle trips 100% 100% 100% 100% 100% 100%<br />
mode no option -3% -0% -44% -42% -24% -13%<br />
practical matters -11% -15% -5% -12% -2% -4%<br />
travel time -49% -42% -8% -8% -23% -31%<br />
infrastructure and traffic -0% -0% -2% -1% -3% -2%<br />
inconvenience,<br />
-3% -2% -4% -6% -17% -21%<br />
insecurity<br />
personal preferences -17% -11% -11% -4% -21% -13%<br />
freedom of choice 17% 30% 25% 27% 10% 16%<br />
Table 4.12: Accumulative impact of general hindrances for other modes in percents of bicycle trips<br />
The main hindrance for walking is travel time; the main<br />
hindrance for car use is the unavailability of a car. For<br />
using public transport there are a number of larger hindrances:<br />
mode availability, travel time, inconvenience,<br />
and personal preferences. The freedom to shift from the<br />
bicycle to walking or public transport increased substantially.<br />
The (initially large) freedom to shift to the car is<br />
nearly unaffected.<br />
Figure 4.5 gives an overview of the potentials for shifting<br />
between bicycle, walk, car and transit in 1985. The<br />
modal percentages are percents of all trips made by the<br />
mode; the numbers in the arrows between the modes are<br />
percentages of all trips. For instance, 34% of car trips are<br />
vulnerable for shifting to the bicycle; this number is equal<br />
to 10% of all trips. The other way around, 27% of the bicycle<br />
trips are vulnerable for shifting to the car; these equal<br />
11% of all trips. Again, the figures represent the general<br />
freedom of choice, not the freedom of choice on the enquiry<br />
day.<br />
Next examined question is which modal shifts really took<br />
place as a result of the bicycle network improvements.<br />
The panel participants were asked about their modal use<br />
in both the before and after situations to activities that they<br />
continued to visit in the two periods. The distinguished<br />
activities were work, school, shopping, service, leisure.<br />
About 20% of the activities performed in 1982 were not<br />
continued in 1985 by the same respondents. These 20%<br />
are left out of the analysis.<br />
Figure 4.5: General intermodal potentials in 1985<br />
(source: Katteler et al, 1987)<br />
40 41
Tables 4.13 and 4.14 show the modal shifts between<br />
1982 and 1985 in trips for unchanged activities for the<br />
two experimental districts. Corresponding figures for the<br />
control area Wippolder are not available.<br />
Respondents that changed a mode were asked why they<br />
did so. The most frequent reported reason was destination<br />
change. The main reason for the large shift from walk<br />
to bicycle in particularly the Tanthof-district is the switch<br />
from primary school to the more distant secondary school.<br />
The shift from bicycle to moped in Tanthof might be explained<br />
by the increasing age of the panel respondents;<br />
some pupils that were too young for driving a moped were<br />
allowed to do so in 1985.<br />
Still, the figures for Noordwest hint that the improved bicycle<br />
network had a modest positive influence on bicycle<br />
use. Except for walking, the shifts from each alternative<br />
mode to the bicycle are larger than the other way around.<br />
The differences between the opposite shifts are especially<br />
large for the car, both car drivers and car passengers.<br />
The improved network seems to have tempted car users<br />
to shift to the bicycle.<br />
Long-term impacts<br />
The short-term analyses make plausible that the improvements<br />
in the bicycle network raised bicycle use somewhat.<br />
The question is whether the higher level of bicycle<br />
use is retained in the long run or possibly raised even further.<br />
Three kinds of descriptive analyses have been done<br />
for examining the long-term impacts (MuConsult, 1993).<br />
The first is a comparison between Delft and the other<br />
medium-sized cities in the Netherlands regarding the de-<br />
mode in 1985 mode in 1982<br />
share<br />
walk bicycle moped car<br />
driver<br />
car<br />
pass.<br />
public<br />
transp.<br />
other in<br />
1985<br />
walk 23.1% 0.5% - - - 0.1% - 23.7%<br />
bicycle 1.9% 39.3% 0.2% 0.6% 0.8% 0.3% - 43.1%<br />
moped 0.4% - 1.3% 0.1% - - - 1.8%<br />
car driver 0.1% 0.2% 0.1% 20.0% - 0.5% - 20.9%<br />
car passenger - 0.1% - 0.1% 3.5% 0.2% - 3.9%<br />
public 0.4% 0.2% 0.2% 0.2% 0.3% 5.2% - 6.5%<br />
transport<br />
other - - - - - - 0.4% 0.4%<br />
share in 1982 25.9% 40.3% 1.8% 21.0% 4.6% 6.3% 0.4% 100%<br />
Table 4.13: Modal shifts in travelling for unchanged activities by residents of the Noordwest district.<br />
mode in 1985 mode in 1982<br />
share<br />
walk bicycle moped car<br />
driver<br />
car<br />
pass.<br />
public<br />
transp.<br />
other in<br />
1985<br />
walk 11.6% - - - - - - 11.6%<br />
bicycle 5.9% 33.6% - 0.2% - - - 39.7%<br />
moped - 0.6% 2.0% 0.9% - - - 3.5%<br />
car driver - - - 30.2% - 0.6% - 30.8%<br />
car passenger - 0.2% - - 5.5% - - 5.7%<br />
public - 1.1% - 0.5% - 6.6% - 8.2%<br />
transport<br />
other - - - - - - 0.6% 0.6%<br />
share in 1982 17.5% 35.5% 2.0% 31.8% 5.5% 7.2% 0.6% 100%<br />
Table 4.14: Modal shifts in travelling for unchanged activities by residents of the Tanthof district.<br />
velopment in bicycle use in the period 1979-1991, based<br />
on the national travel surveys. The second is executing a<br />
new survey in the whole city of Delft in 1993 and comparing<br />
the results with those of the short-term after survey<br />
in 1985 that was executed in the two experimental areas<br />
and one control area. The third regards counts of passing<br />
cyclists at cordons around Noordwest and Wippolder in<br />
1993 and comparing these with counts in 1985. In the two<br />
analyses that are based on travel surveys, the impacts of<br />
several explanatory socio-economic variables on bicycle<br />
use are estimated in order to find out whether a significant<br />
impact of the bicycle plan remains after eliminating the<br />
impacts of the other factors. Unlike the short-term after<br />
studies, the analyses include both the impacts on bicycle<br />
trip numbers and bicycle kilometres.<br />
The analysis of bicycle use in Delft compared to that in<br />
other medium-sized cities gave no firm results regarding<br />
the long-term impact of the bicycle plan. There were two<br />
problems: a) the samples of Delft residents in the national<br />
travel surveys are too small for a good trend analysis of<br />
travel behaviour (100-150 persons annually), and b) in<br />
the period considered, investments in bicycle infrastructure<br />
were implemented in several other cities, partly encouraged<br />
by the success of the Delft bicycle plan. The<br />
improvements in other cities were not included in the<br />
analysis of the impacts of other socio-economic factors.<br />
The long-term after survey in Delft should give information<br />
on differences between developments in different<br />
mode<br />
indicator<br />
National surveys,<br />
development 1979-1991.<br />
Delft compared to:<br />
other<br />
mediumsized<br />
cities<br />
districts. The survey was organised in May and June<br />
1993. The sample was 785 households. The questionnaires<br />
were similar to those of the short-term after survey.<br />
However, the survey periods were different: May/June<br />
in the long-term after survey versus October/November<br />
in the short-term after survey. The impact of the different<br />
seasons is estimated using data of the national travel<br />
surveys. A significant impact was observed for the whole<br />
Dutch population but no impact could be found for the<br />
Delft residents. A complication in analysing the results of<br />
this survey is that the Wippolder district doesn’t function<br />
as control area in the long run. After the short-term after<br />
survey was organised, improvements in bicycle infrastructure<br />
were implemented in this district as well.<br />
The bicycle counts are carried out on a large number of<br />
spots on a Wednesday in May between 7:00 a.m. and<br />
7:00 p.m. Again, the season differs from the short-term<br />
after counts that were executed on a Wednesday in September.<br />
The main results are presented in Table 4.15 in a qualitative<br />
way. Presentation in this way is induced by the low<br />
reliability of most of the results. The table summarises the<br />
results of the three kinds of analysis, and includes the assumed<br />
impacts of the bicycle plan on both trips and trip<br />
kilometres made by bicycle, car as a driver, and car as a<br />
passenger.<br />
remaining<br />
country<br />
Delft survey,<br />
dev. 1985-1993.<br />
Noordwest<br />
compared to:<br />
Wippolder<br />
cycle counts,<br />
1985-1993.<br />
Noordwest<br />
compared to:<br />
Tanthof Wippolder<br />
bicycle trip numbers 0 0 0 0 (+)<br />
kilometres (+) (+) + 0 n.a.<br />
car driver trip numbers (-) 0 0 0 n.a.<br />
kilometres (-) (-) 0 0 n.a.<br />
car trip numbers (-) 0 0 0 n.a.<br />
passenger kilometres 0 0 0 0 n.a.<br />
Table 4.15: Long-term comparisons in developments of modal use<br />
42 43
The symbols ‘0’, ‘+’, and ‘-’ indicate no change, increase,<br />
and decrease respectively. Observed changes that are<br />
not statistically significant are put within brackets. The<br />
table shows only one statistically significant change: bicycle<br />
kilometres of Noordwest-residents increased significantly<br />
compared to those of Wippolder-residents. This<br />
result suggests a long-term impact of the bicycle plan on<br />
bicycle kilometres in addition to the short-term impact.<br />
However, interpretation of this result is complicated by<br />
the fact that the improvements in Noordwest were implemented<br />
before 1985 and those in Wippolder after 1985,<br />
in which period the growth is observed. The increasing<br />
difference between Noordwest and Wippolder could be<br />
either an additional long-term increase in Noordwest that<br />
exceeds a possible short-term increase in Wippolder, or<br />
a decrease in Wippolder (due to the implemented measures?).<br />
A policy-induced decrease in Wippolder is not<br />
plausible, because the analysis of Delft compared to the<br />
other medium-sized cities suggest a positive influence of<br />
infrastructural improvements on bicycle kilometres.<br />
The analyses give no evidence on impacts on bicycle trip<br />
numbers, except from a relative increase of counts of cyclists<br />
entering or leaving Noordwest compared to those<br />
entering or leaving Wippolder. Assuming that trip numbers<br />
increased somewhat in Wippolder after 1985 due<br />
to the implemented improvements, the increase before<br />
1985 that was observed in the other districts seems not<br />
to be followed by a decrease and might even be followed<br />
by a further increase. Therefore, it is likely that the initial<br />
short-term increase in bicycle trips has been retained in<br />
the long term. There might even have been an additional<br />
increase in the long run. However, this can only be small<br />
assuming the fact that the analysis with the national travel<br />
surveys that describes the development in the whole project<br />
period (1979-1991) gives no indication of any impact<br />
on bicycle trip numbers.<br />
Looking at the car, negative effects on car use are observed<br />
for the whole period 1979-1991 when Delft is compared<br />
to other medium-sized cities. These include both<br />
the short-term and the long-term effects. The large fluctuations<br />
in the annual results regarding car use of inhabitants<br />
of Delft due to the small Delft samples, give not the<br />
opportunity to do separate statements on short-term and<br />
additional long-term developments. Apart from that, the<br />
effects in the whole period are not statistically significant.<br />
Route choice<br />
1982 1985<br />
counts entering Noordwest 24912 26032<br />
counts leaving Noordwest 25291 27969<br />
on-street interview 4100 -<br />
questionnaire response 2200 3000<br />
In addition to the modal choice analysis, the short-term<br />
impacts on route choice are estimated. The route choice<br />
studies are performed in the experimental Noordwestarea.<br />
Both before (1982) and after (1985) the measures<br />
in Noordwest were implemented the number of cyclists<br />
that entered or left Noordwest were counted at a large<br />
number of spots at a cordon around this district. In addition,<br />
in 1982 a number of cyclists that left the Noordwestdistrict<br />
were interviewed about some personal and trip<br />
characteristics; registered variables were age, gender,<br />
origin and destination addresses, trip purpose, and time<br />
of the interview. To some of them questionnaires were<br />
handed out where they were asked to draw their route<br />
on a map. In 1985, the on-street interviews were skipped<br />
but again questionnaires including questions on personal<br />
and trip characteristics and the route were distributed<br />
among leaving cyclists. The decision to skip the on-street<br />
interviews is motivated by the high response on the distributed<br />
questionnaires in 1982 and hence a low added<br />
value of the on-street interviews. The counts, interviews<br />
and distribution of questionnaires were done on the latest<br />
Wednesdays in September between 7:00 a.m. and 7:00<br />
p.m. Questionnaires were handed out only to persons<br />
whose assumed age was at least 12. Table 4.16 shows<br />
the number of counted cyclists and cyclists that were interviewed<br />
or responded to the questionnaire.<br />
Table 4.16: Number of counted and approached cyclists at the Noordwest-cordon<br />
For analysing the collected data, a data bank of link characteristics<br />
of the bicycle networks in the before and after<br />
periods was created. These data include coordinates of<br />
nodes, type of pavement, type of cycling infrastructure<br />
(mixed traffic, bicycle lane, bicycle path), slope, one/two<br />
way traffic, traffic lights, and other objects for delay (a<br />
bridge that can be opened, crossing with a railway line).<br />
Length and average travel time per link are calculated<br />
from these data.<br />
After the before data were collected, several analyses on<br />
route choice and utilisation of the bicycle network were<br />
executed (Bovy, 1984). In contrast to the studies on the<br />
demonstration projects in Tilburg and The Hague, both<br />
the impacts of travel distance and travel time on route<br />
choice are analysed. Regarding utilisation of the bicycle<br />
network, it is examined whether and to which extent cyclists<br />
are willing to travel longer distances if then they can<br />
make a shift from travelling on low level networks to the<br />
more comfortable high level networks.<br />
The analyses are partly based on detour factors. Two<br />
kinds of detour factors are defined: detour on link level<br />
and detour on route level. The detour on link level of an<br />
observed trip is defined as the ratio of the trip distance if<br />
the shortest route was chosen and the distance between<br />
origin and destination as the crow flies. The average detour<br />
on link level is 1.21 and is dependent on distance.<br />
The detour is highest for distances between 1000 and<br />
1500 meter (1.25). It decreases slowly at increasing<br />
distances, to an average value of 1.18. It decreases at<br />
decreasing distances too, first slowly, but at increasing<br />
speed at the very short distances.<br />
The detour on route level is calculated for both length and<br />
duration of trips. This factor equals the ratio of the actual<br />
trip length/duration and the length/duration of the shortest<br />
route (shortest in distance or time). Table 4.17 presents<br />
the frequency distribution of the two detour factors on<br />
route level and the average and median values.<br />
One may conclude from the table that cyclists mainly<br />
choose the shortest route or a route with only a small<br />
detour. Moreover, they are more inclined to choose the<br />
shortest route in time than the shortest route in distance.<br />
The latter observation is supported by a statistical analysis<br />
of factors influencing the route choice. Travel time<br />
proves to give a significant better explanation of the observed<br />
route choices than travel distance.<br />
In addition to route choice, the data gave information<br />
about network use. An analysis of the extent the actual<br />
routes overlap the shortest routes, demonstrated that cyclists<br />
prefer cycling on higher level roads. The average<br />
overlap of all trips is 56%. However, the overlap differs<br />
substantially by road type. The overlap is only 27% for<br />
residential roads, 39% for neighbourhood roads, 47% for<br />
district roads, and 64% for urban roads. Apparently cyclists<br />
are inclined to minimize the distance travelled on<br />
the lower level roads.<br />
class of detour length<br />
duration<br />
frequency cumulative freq. frequency cumulative freq.<br />
1.0 9% 9% 21% 21%<br />
1.01-1.05 35% 44% 30% 51%<br />
1.06-1.10 27% 71% 21% 72%<br />
1.11-1.15 13% 84% 10% 82%<br />
1.16-1.20 6% 90% 7% 89%<br />
1.21-1.25 4% 94% 4% 93%<br />
1.26-1.30 2% 96% 2% 95%<br />
1.31-1.35 1% 97% 1% 96%<br />
>1.36 3% 100% 4% 100%<br />
average 1.09 1.08<br />
median 1.06 1.05<br />
Table 4.17: Characteristics of detour factors on route level.<br />
44 45
The outcomes of the route analyses presented so far are<br />
just based on the before study. The after study (Gommers<br />
and Bovy, 1987) analysed to which extent the bicycle<br />
interventions influenced route choices. Comparing<br />
the routes of complete trips in the before and after periods<br />
was not possible because only very few trips had<br />
the same origin and destination. Therefore, the analysis<br />
was done for trip sections. A number of pairs of locations<br />
were selected that are passed by a lot of cyclists. The<br />
route choices before and after between these pairs were<br />
studied for all trips that passed both locations. The routes<br />
between 60 pairs of locations were analysed. Significant<br />
changes in the chosen routes were observed. New network<br />
links tempted a lot of cyclists to reroute their trips<br />
via these links. New bicycle paths along roads proved to<br />
be very attractive as well. The volume of cyclists on bicycle<br />
paths increased significantly while the volume on<br />
bicycle lanes (not physically separated from the road)<br />
and on roads with mixed traffic decreased. There was no<br />
change in the division of bicycle kilometres over the three<br />
networks: neighbourhood, district and urban. Absence of<br />
a change is not surprising because the measures were<br />
implemented at all networks. Route choice changes seem<br />
to take some time. A new bridge appeared to attract only<br />
a small part of the cyclists who could shorten their route<br />
by using this bridge. The reason could be that the bridge<br />
was brought into use just one week before the data for the<br />
route choice analysis were collected.<br />
Finally, the route choice studies suggest a large increase<br />
in bicycle use between the before and after periods (see<br />
the cycle counts in Table 4.16). Analysing the origins<br />
and destinations, the increase is mainly due to a huge<br />
increase (28%) in cyclists that traverse the Noordwestdistrict.<br />
Trip numbers of Noordwest-residents seem to<br />
have decreased somewhat, those of Noordwest-visitors<br />
increased a little. The decrease of trips by Noordwestresidents<br />
can be explained by demographic changes and<br />
one major change in land use: a secondary school moved<br />
from outside to inside the Noordwest-district. The large<br />
increase of traversing cyclists might suggest that the bicycle<br />
plan is particularly beneficial for the longer distances.<br />
Though it is likely that this happened, an alternative<br />
explanation is that cyclists shifted their routes from fully<br />
outside the Noordwest-district to partly crossing the district.<br />
The route shift could be induced either by the bicycle<br />
measures and is then still an indication of the attractiveness<br />
of the measures, or by other factors like traffic diversions<br />
due to maintenance works.<br />
4.7.2 Safety<br />
The impacts of the bicycle plan on traffic safety have been<br />
studied for both the short and the long run. Bovy and<br />
Gommers (1988) assume a priori that the measures will<br />
have two kinds of opposite impacts. Firstly, the measures<br />
increased use of the vulnerable bicycle mode that will<br />
have affected traffic safety negatively. Vulnerability of cyclists<br />
is apparent from Dutch statistics concerning casualties<br />
per million person kilometres (CBS, 1994, 1 and CBS,<br />
1994, 2). Both the number of fatalities and the number of<br />
injured persons among cyclists were in the early 1990’s<br />
about three times the average for all modes. Secondly,<br />
the measures made cycling safer and so affected safety<br />
positively. Nearly all accidents result from conflicts between<br />
road users. The measures reduced the number of<br />
conflicts due to building new bicycle paths that separate<br />
cyclists from motorized traffic, and installing traffic lights<br />
at some intersections that should make crossing safer.<br />
The vulnerability of cyclists compared to other road users<br />
is subject for debate. Certainly, the number of accidents<br />
and casualties per km are high for cyclists. However,<br />
related to travel time, the numbers are comparable for<br />
the different modes. Based on the finding in fundamental<br />
research that people tend to spend a constant part of<br />
their time budget on travelling (see for instance Schafer,<br />
1998), accidents and casualties per minute might be a<br />
better measure for vulnerability than numbers per km. In<br />
that case interventions that increase bicycle use will not<br />
directly increase the risk of accidents.<br />
Short-term impacts<br />
Between 1980 and 1986 the total number of accidents in<br />
Delft was stable. These were about 1500 annually, according<br />
to the (incomplete) registration by the police. The<br />
number of casualties decreased in the same period from<br />
about 310 to 260, a reduction of about 20% (Bovy and<br />
Gommers, 1988). The national figures show a similar decrease<br />
of annual casualties in this period despite a substantial<br />
increase in traffic volume: the number of fatalities<br />
decreased by 24%, the number of injured casulaties by<br />
21%. At first sight, the bicycle plan did not contribute to<br />
traffic safety on balance. However, a more detailed analysis<br />
of the figures gives different conclusions.<br />
The short-term decrease of traffic casualties in Delft can<br />
fully be attributed to the bicycle and moped modes. The<br />
number of cycle casualties decreased from about 100 in<br />
1980 to about 70 in 1986, that of the moped casualties<br />
from about 80 to about 60. The number of casualties by<br />
other modes remained stable. The decrease of about<br />
30% for cyclists and moped riders is larger than the national<br />
decrease of 20% for these modes. The national decrease<br />
for the car and most other modes is not observed<br />
in Delft. The relatively large decrease in casualties among<br />
cyclists and moped riders in Delft, both users of the bicycle<br />
infrastructure, is an indication of increased safety<br />
by the bicycle measures. One problem in the analysis is<br />
that the Delft numbers are too low for an accurate estimation<br />
of developments in a few-years period. The numbers<br />
by mode display rather large annual fluctuations. Still, the<br />
decrease in casualties of both cyclists and moped riders<br />
is statistically significant.<br />
The probability for cyclists to be involved in an accident<br />
depends on gender and age. The probability is particularly<br />
high for teenagers. No change of the relative probabilities<br />
is observed between the before and after periods.<br />
The relative decrease of bicycle casualties was similar for<br />
all gender and age classes.<br />
Most bicycle accidents happen by collision of vehicles.<br />
In most cases the collision ‘partner’ of a bicycle is a motor<br />
vehicle. The number of collisions with motor vehicles<br />
decreased somewhat from about 70% of all bicycle accidents<br />
to about 65%. The number of other kinds of bicycle<br />
accidents remained stable. One should note here that bicycle<br />
use increased and use of motorized modes (mainly<br />
car) did not change.<br />
The number of accidents where a bicycle is involved decreased<br />
in Delft by about 10%. This reduction is smaller<br />
than the relative decrease of cycle casualties, which can<br />
be explained by the relatively large decrease of collisions<br />
with motor vehicles. The decrease of bicycle accidents is<br />
fully due to a decrease of accidents at intersections. The<br />
number of bicycle accidents at intersections decreased<br />
by 25%, lowering its share in all bicycle accidents from<br />
55-60% to 45-50%. Still, intersections remain relatively<br />
unsafe for cyclists. For other modes the share of accidents<br />
at intersections is smaller, on average 35%.<br />
Considering type of road, the decrease of bicycle accidents<br />
is observed only on bicycle lanes. There was no<br />
change in accident numbers on bicycle paths and roads<br />
with mixed traffic. However, because of the large changes<br />
in bicycle traffic volumes on the different kind of roads,<br />
one could better compare the risk of involvement in an accident<br />
per million km. This risk decreased significantly on<br />
bicycle paths and bicycle lanes and increased a little on<br />
roads with mixed traffic. Bicycle paths, that were already<br />
the safest kinds of road, strengthened their position as<br />
safest road for cyclists, and bicycle lanes, that were by<br />
far the most unsafe kinds of road came close to the roads<br />
with mixed traffic but remained the most unsafe kind of<br />
road. The relatively high probability to be involved in an<br />
accident when cycling on bicycle lanes can be explained<br />
by the fact that bicycle lanes generally are designed along<br />
busy roads where dedicated bicycle infrastructure is desirable<br />
but room for separated bicycle paths is lacking.<br />
The observations mentioned before suggest that the bicycle<br />
plan had a positive influence on safety. Safety increased<br />
particularly for the cyclists, and the increase in<br />
safety is connected to infrastructural elements (relatively<br />
large on bicycle paths and lanes, and on intersections).<br />
An interesting additional observation for answering the<br />
question whether the improvements enlarged traffic<br />
safety is the development of safety in different districts,<br />
including the experimental and control areas. Figure 4.6<br />
shows the probability of involvement in an accident per<br />
million kilometres in the experimental area Noordwest,<br />
the southwest area of the city including the experimental<br />
Tanthof district, the control area Wippolder, the city<br />
centre, and the remaining city. In Noordwest the probability<br />
decreased significantly by 35-40%. This area lost its<br />
position as the most unsafe district of Delft for cyclists.<br />
In southwest only a small decrease is observed (about<br />
10%). In the control area Wippolder and the city centre<br />
the decrease is slightly larger (about 15%), and in remaining<br />
Delft, where the measures of the bicycle plan were<br />
partly implemented the decrease is comparable to that of<br />
Noordwest (about 35%).<br />
Figure 4.6: Probability of involvement in accidents<br />
by cyclists in different districts<br />
46 47
The relatively strong decrease in Noordwest suggests<br />
again an influence of the bicycle plan. The low decrease<br />
in Southwest that benefited from the measures as well<br />
suggests the opposite. A possible explanation of the deviant<br />
development in Southwest is that an increase in safety<br />
due to the measures is partly annulled by demographic<br />
factors. The southwest districts are new districts where<br />
many households had young children. The children got<br />
a few years older between the before and after situation<br />
and changed from walking to the primary school to cycling<br />
to the secondary school or from accompanied cycling by<br />
the parents to unaccompanied cycling.<br />
A statistical test on the differences in developments between<br />
the experimental Noordwest district and the control<br />
area Wippolder produced no significant results. Assuming<br />
a Poisson distribution of the probability to be involved in an<br />
accident, the observed decrease in number of accidents<br />
in Noordwest does not differ significantly from the smaller<br />
decrease in Wippolder. The main problem for the analysis<br />
is the small number of observations. Though there are<br />
strong indications that the bicycle plan increased safety, it<br />
can not be proved.<br />
Long-term impacts<br />
Statistics on traffic accidents and casualties in the period<br />
1985-1992 are analysed in order to gain knowledge about<br />
impacts of the bicycle plan in the long run (AGV, 1994).<br />
The long-term developments in Delft are compared to the<br />
national developments, developments in the province of<br />
Zuid-Holland where Delft is located, and developments in<br />
the other medium-sized cities. Additionally, some characteristics<br />
of the developments within Delft are discussed.<br />
In both The Netherlands and Zuid-Holland, the numbers<br />
of accidents and casualties per million person km decreased<br />
significantly between 1985 and 1992. The reductions<br />
are 15-20% for accidents with injured persons and<br />
30-35% for fatalities. In Delft no significant development<br />
can be observed. The main problem is the low numbers.<br />
The statistics suggest a small decrease of accidents in<br />
Delft as well, possibly between 0 and 10%. Regarding the<br />
number of fatalities nothing can be said. These fluctuate<br />
between 1 and 9 annually. Safety seems to have been developed<br />
in Delft less beneficial than in the whole province<br />
or the whole country. A possible explanation is that the<br />
safety increase was relatively small in medium-sized cities.<br />
It would be interesting to compare the development in<br />
Delft with that in other medium-sized cities. This has not<br />
been done in the evaluation study, except for the observation<br />
that the number of fatalities in the medium-sized cities<br />
increased a little between the periods 1983-1985 and<br />
1989-1992. This is an indication that the general increase<br />
in safety occurred mainly in the countryside and possibly<br />
in the large cities, too. This observation deprives us of the<br />
possibility to draw conclusions about the long-term influence<br />
of the bicycle measures on overall traffic safety.<br />
The evaluation pays additionally attention to developments<br />
of the safety of cyclists, but limits it to the short<br />
period 1990-1992. In this period both in the whole country<br />
and in the province of Zuid-Holland the numbers of bicycle<br />
accidents and casualties decreased. The decrease of accidents<br />
and casulaties per million km is at the same pace<br />
as the decrease for all modes. Safety in Delft seems to<br />
have been unchanged. However, the observed numbers<br />
are too low for a firm conclusion regarding the development<br />
in Delft. Comparison with the development in other<br />
medium-sized cities is limited to fatalities. The number of<br />
cyclists that died in the Netherlands due to an accident in<br />
medium-sized cities decreased between 1983-1985 and<br />
1989-1992. For Delft, the numbers are far too low for any<br />
conclusion on the development.<br />
Looking at the developments within Delft, some significant<br />
changes that were observed in the short run are partly<br />
cancelled out. The share of accidents at intersections<br />
that decreased significantly in the short run, increased in<br />
the long run to a level that is still somewhat lower than<br />
in the before period. The number of bicycle casualties in<br />
the experimental area Noordwest increases again, but<br />
remains in the long run significantly lower than in the before<br />
situation. There is one district where the decrease<br />
of casulaties continued: the city centre. The continuing<br />
decrease should probably be explained by implementing<br />
measures that limit car traffic in this district.<br />
The overall conclusion is that it is very difficult to say<br />
something about the long-term impact of the bicycle plan<br />
on traffic safety. There are indications that travelling has<br />
become safer in both the short and the long run, but that<br />
the long-term impact is smaller than the short-term impact.<br />
4.7.3 Perception of cycling quality<br />
safety<br />
velocity<br />
survey ability<br />
space for<br />
cyclists<br />
convenience<br />
not specified<br />
network<br />
specified<br />
spots<br />
network<br />
specified<br />
spots<br />
network<br />
specified<br />
spots<br />
network<br />
specified<br />
spots<br />
network<br />
specified<br />
spots<br />
network<br />
specified<br />
spots<br />
Noordwest<br />
positive<br />
assessment<br />
16%<br />
75%<br />
10%<br />
37%<br />
1%<br />
1%<br />
1%<br />
3%<br />
12%<br />
27%<br />
5%<br />
15%<br />
Participants of the panel that was convened for the indepth<br />
analysis of modal choice (Section 4.7.1) were<br />
asked in 1985, shortly after implementation of the measures,<br />
how they assessed the changes in the bicycle<br />
network. The assessment was asked both on household<br />
level, person level and trip level. Table 4.18 presents the<br />
results on household level for the two experimental areas.<br />
The households were asked to report improvements<br />
or deteriorations of the network for a number of quality<br />
aspects. The questions included both an assessment of<br />
the bicycle network as a whole and an assessment of individual<br />
spots where measures were implemented.<br />
The measures were assessed predominantly positively,<br />
in particular regarding safety, velocity and convenience.<br />
The positive assessment is generally larger for Tanthofhouseholds<br />
than for Noordwest-households. Interestingly,<br />
some measures of the bicycle project were assessed<br />
negatively. Outstanding was one intersection that was experienced<br />
to be worse after reconstruction. Based on the<br />
result of the interviews the municipality reconstructed this<br />
intersection again.<br />
negative<br />
assessment<br />
4%<br />
73%*<br />
2%<br />
8%<br />
0%<br />
22%*<br />
2%<br />
14%<br />
3%<br />
10%<br />
1%<br />
22%<br />
Tanthof<br />
positive<br />
assessment<br />
32%<br />
46%<br />
30%<br />
38%<br />
-<br />
6%<br />
-<br />
4%<br />
22%<br />
28%<br />
8%<br />
2%<br />
negative<br />
assessment<br />
0%<br />
38%*<br />
2%<br />
4%<br />
0%<br />
16%<br />
4%<br />
8%<br />
0%<br />
8%<br />
4%<br />
10%<br />
total 203% 161% 216% 94%<br />
Table 4.18: Assessment of network changes due to the bicycle project on household<br />
level<br />
* most relate to one intersection of major roads (Hugo de Grootstraat and Westplantsoen)<br />
The panel respondents were at least ten years old at the<br />
start of the panel and the figures presented so far exclude<br />
younger persons. An interesting question is to which extent<br />
the network raised the cycling quality for younger<br />
children, in particular safety. Therefore, households with<br />
children from 6-9 were asked whether cycling became<br />
safer for them on the route to school. From those households<br />
that answered that one or more measures were<br />
implemented on the route (72%), 54% answered that the<br />
implemented measures did not increase safety, and 46%<br />
answered that cycling on the route to school had become<br />
safer.<br />
The assessment on person level gave similar results in<br />
the sense that the assessment was predominantly positive<br />
and was significantly higher for Tanthof-residents<br />
than for Noordwest-residents. In contrast to the assessment<br />
on household level, the personal assessment is<br />
rather similar for the different quality aspects.<br />
On trip level, Noordwest-respondents reported that the<br />
quality was enlarged for 28% of the bicycle trips and reduced<br />
for 23% of the trips. For Tanthof-respondents the<br />
figures are 43% and 11%. The number of positive changes<br />
per trip was 0.39 and 0.81 for Noordwest- and Tanthof-residents<br />
respectively, and the number of negative<br />
changes per trip 0.25 and 0.11. The share of bicycle trips<br />
where one or more problems were encountered reduced<br />
from 45% to 34% for Noordwest-residents and from 51%<br />
to 30% for Tanthof-residents. The relatively bad results<br />
for Noordwest can partly be explained by the intersection<br />
mentioned in the note of Table 4.18. If problems with this<br />
intersection are left out of consideration, the share of trips<br />
where problems were encountered would be reduced<br />
from 45% to 28% in Noordwest.<br />
48 49
The general conclusion is that the measures gave a better<br />
perception of the quality of the bicycle network. The increase<br />
in perception is substantially higher for Tanthof, a<br />
new residential area some kilometres from the city centre,<br />
than for Noordwest, an old district close to the city centre.<br />
Another conclusion is that measures that are aimed to<br />
improve the bicycle network sometimes lower the perception<br />
of the quality of the network.<br />
4.7.4 Economy<br />
Economic impacts of the bicycle plan were not included<br />
in the evaluation studies. However, in the framework of<br />
the Transecon-project that analyses the socio-economic<br />
impacts of investments in urban infrastructure, afterwards<br />
an attempt to estimate the economic impacts of the Delft<br />
bicycle plan has been made (Transecon, 2003). The<br />
analyses include a quantitative estimation of the regional<br />
added value and opinions of key actors about socio-economic<br />
impacts.<br />
The estimation of the added value includes three indicators.<br />
The first is the regional GDP indicating production<br />
of goods and services in the region, the second is the<br />
regional income reflecting wealth of the people, and the<br />
third is the regional employment. The estimated values<br />
are limited to the construction phase of the project. These<br />
are estimated with an econometric model that use global<br />
and economic conditions and demographic factors as input,<br />
together with the investment cost of the project per<br />
economic sector and year (Schneider et al, 1988). The<br />
estimated added values per annum for the Delft project<br />
are:<br />
• GDP: 2.3 million ECU;<br />
• income: 1.5 million ECU;<br />
• employment: 29 persons.<br />
The construction phase covers the period 1979-1991.<br />
The average annual investment in this period on both the<br />
implementation of the measures and the evaluation studies<br />
was 1.02 million ECU. All mentioned ECU amounts<br />
are at current prices. As mentioned before, the calculated<br />
added values relate only to the construction phase. In the<br />
operating phase that follows the construction phase the<br />
improved infrastructure makes a city more attractive and<br />
may be beneficial for economic activities. Added values<br />
in the operating phase are on average about 3 times the<br />
values in the construction phase (Transecon, 2003). The<br />
factor 3 is argued for large infrastructural investments like<br />
a metro line that have significant impacts on land use and<br />
economic activity. It is doubtful whether it can be used for<br />
bicycle investments as well. According to the opinions of<br />
key actors, to be discussed next, the bicycle plan had no<br />
large long term economic impacts.<br />
A number of key actors were interviewed about the socio-economic<br />
impacts of the bicycle plan. The interviews<br />
gave qualitative information about the impacts. Some results<br />
of the interviews:<br />
• A state agent had the opinion that the measures of the<br />
bicycle plan “certainly” did not affect housing prices.<br />
• A bicycle mender assumed that the plan increased the<br />
demand for bicycles. He sold significantly more bicycles<br />
after implementation of the measures. However, there is<br />
an alternative reason for the increase. In the same period<br />
a number of other bicycle shops closed, raising the business<br />
of the remaining shops.<br />
• A number of the interviewed persons had the opinion<br />
that the economic position of the city centre was strengthened<br />
and that the economic decline of the centre that was<br />
observed in the period before the measures were implemented<br />
was reversed. In the time of the project old buildings<br />
in the inner city and at the edges of the inner city<br />
were redesigned and reconstructed as luxurious apartments.<br />
New apartments were built as well. The improved<br />
bicycle infrastructure could have played a role in this development.<br />
• The plan improved the perception of the city by its residents;<br />
it increased civic pride.<br />
The measures sometimes were beneficial for undesired<br />
economic activities, too. In a neighbourhood that is fully<br />
surrounded by water and that was accessible via just one<br />
bridge in the before situation, a second bridge for cyclists<br />
was built in the framework of the bicycle plan. Afterwards<br />
theft proved to increase. The assumed reason is that the<br />
new bridge created better opportunities to housebreakers<br />
for fleeing.<br />
4.8 The impacts of building the<br />
Plantagebrug<br />
In Section 4.5 the building of the Plantagebrug has<br />
been described. This bridge is built halfway between the<br />
Reineveldbrug and the Koepoortbrug (Figure 4.3). It is<br />
assumed that the Plantagebrug will attract many cyclists<br />
that otherwise would have used one of the two neighbouring<br />
bridges. Additionally, lowering the severance of<br />
the canal for cyclists might generate new trips and affect<br />
shifts of destination and mode. These impacts are examined<br />
with three studies. One study explores the potential<br />
of the Plantagebrug before it was actually built. This study<br />
is based on a household survey and interviews (Kropman<br />
and Neeskens, 1986). The two other studies collect data<br />
from bicycle counts at bridges and enquiries among passing<br />
cyclists in both the before and after situations in order<br />
to examine several kinds of impacts of the Plantagebrug<br />
(Gommers et al, 1985, and Veeke and Jansen, 1987).<br />
4.8.1 Potential of the bridge<br />
Before the Plantagebrug was built possible impacts on<br />
travel behaviour were investigated. The research questions<br />
were how the bridge would affect destination choice,<br />
modal choice, and route choice; and whether the bridge<br />
should contribute to perceived safety and comfort.<br />
The analysis is based on a travel survey and interviews<br />
about why observed travel choices are made. A sample<br />
of households was selected for both the travel survey<br />
and the interviews. Only households living in the residential<br />
districts at the east side of the canal and the bridges<br />
were approached. Therefore, the study is limited to the<br />
potential of the Plantagebrug for those who live in these<br />
districts. These are only part of all potential users. From<br />
161 addressed households 81 gave a full response. Interviews<br />
were conducted with 157 members of these<br />
households, only members that were 10 years or older.<br />
The travel survey and interviews were organised in June<br />
1984. First, household members were asked to report<br />
their trips on a certain working day, and a few days later<br />
they were interviewed.<br />
The travel survey gave the same kind of figures as the<br />
travel surveys in the three study areas (in particular the<br />
Tables 4.5 and 4.9). The results differ in a few respects.<br />
First, in the Plantagebrug survey nearly all respondents<br />
went outside on the enquiry day (99%). The shares in the<br />
other surveys range from 83% to 92% in the before situation.<br />
The explanation could be a possible selective sampling<br />
and the small sample size of the Plantagebrug survey.<br />
A related difference is the number of trips pppd: 4.9<br />
compared to 3.4 to 4.0 in the other surveys. The modal<br />
split was differenent as well. The high share of the bicycle<br />
is relatively high (46% versus 36% to 41% in the other<br />
surveys), that of car users as a passenger is high as well<br />
(9% versus 5%), and the share of car users as a driver is<br />
relatively low (16% versus 21-32%).<br />
The interviews aimed to give information about how<br />
people assess the new bridge, which hindrances they<br />
encounter when cycling to the inner city (crossing the canal),<br />
to which extent the hindrances could be removed<br />
by building the Plantagebrug; and which impacts can be<br />
expected on travel choices regarding destination, mode,<br />
and route.<br />
Assessment of the Plantagebrug<br />
A majority of the respondents has the opinion that building<br />
the new bridge is a good thing; 54% report only advantages,<br />
25% report both advantages and disadvantages,<br />
14% report only disadvantages, and the remaining 8%<br />
report nothing. The most reported advantages are better<br />
accessibility of the inner city, higher safety, and nicer and<br />
more varied routes. The most reported disadvantages<br />
are superfluity of the bridge, a waste of money if used for<br />
building, and hindrance for shipping and rowing. Based<br />
on the predominant opinions, 74% of the respondents can<br />
be indicated as supporters of the bridge and 23% as opponents.<br />
The respondents were asked to put forward measures<br />
that should accompany building the new bridge. They<br />
mentioned in total 270 different measures that mainly<br />
aimed to enlarge safety on the routes to the bridge. There<br />
was a large match between the mentioned measures and<br />
accompanying measures that were planned by the municipality<br />
(the respondents were ignorant of these).<br />
Hindrances for cycling to the inner<br />
city<br />
Starting from the reported trips in the travel survey, hindrances<br />
were encountered for 45% of the bicycle trips to<br />
the inner city. The most mentioned hindrances relate to<br />
safety, in particular traffic volume and speed, and problems<br />
when crossing roads. Interestingly, the two most frequently<br />
reported problematic spots are the two existing<br />
bridges, or more exactly: the Koepoortbrug and the road<br />
Vrijenbanselaan that leads over the Reineveldbrug. Addition<br />
of the Plantagebrug that is dedicated to cyclists and<br />
pedestrians<br />
50 51
to the two other bridges with high car volumes has a large<br />
potential for reducing hindrances. The number of trips<br />
with hindrances would be reduced from 45% to 34%.<br />
For trips that were not made by bicycle or not to the inner<br />
city, the respondents were asked why these were not<br />
made by bicycle to the inner city. The predominant reason<br />
(applicable for 40% of these trips) was that choosing<br />
the destination in the inner city is no option. The second<br />
most important reason is practical matters (22% of the<br />
trips), other reasons of some importance, all relating to<br />
13-15% of the trips, are inconvenience, travel time, and<br />
‘bicycle use no option’. Problems regarding the traffic situation<br />
were mentioned for only 2% of the trips. Freedom<br />
of choice for converting the trip into a bicycle trip to the<br />
inner city applies to 4% of the trips. These results assume<br />
a rather small potential of the Plantagebrug. The contribution<br />
of the Plantagebrug is mainly improvement of the<br />
traffic situation and reducing travel time. These kinds of<br />
hindrances are rather unimportant. Moreover, if these hindrances<br />
would be removed, or if the trips that were free<br />
of choice would be made by bicycle to the inner city, a<br />
limited number of the trips would use the Plantagebrug. In<br />
many cases routing via one of the other bridges is shorter.<br />
One should note that the reason “travel time” is valid for a<br />
much smaller proportion of trips (14%) than in Table 4.11<br />
that presents the reasons why the bicycle is not used for<br />
non-bicycle trips (51% in the before situation). Possibly, in<br />
the Plantagebrug survey the travel time hindrance relates<br />
mainly or only to trips to the inner city. For these trips the<br />
bicycle is generally competitive regarding travel time.<br />
Impacts on travel choices<br />
In order to get understanding about the impacts on travel<br />
choices, the respondents were asked whether and how<br />
they would change their trips if the Plantagebrug was<br />
built. From 767 observed trips, in just one case another<br />
destination would have been chosen (in the inner city instead<br />
of outside the inner city). The impacts on modal<br />
choice and route choice are summarized in Table 4.19.<br />
The figures concern numbers of round trips and share<br />
in all observed round trips (767). A round trip is the sequence<br />
of trips, starting at home, visiting one or more outdoors<br />
activities, and returning home.<br />
before<br />
after (via Plantagebrug)<br />
mode bridge walk bicycle moped<br />
walk<br />
no bridge*<br />
Koepoortbrug<br />
2 (0.3%)<br />
5 (0.7%)<br />
public transport Reineveldbrug 1 (0.1%)<br />
bicycle Reineveldbrug<br />
Koepoortbrug<br />
other bridge<br />
31 (4.0%)<br />
32 (4.2%)<br />
1 (0.1%)<br />
car (driver) Reineveldbrug<br />
other bridge<br />
5 (0.7%)<br />
1 (0.1%)<br />
public transport Koepoortbrug 2 (0.3%)<br />
moped Reineveldbrug 4 (0.5%)<br />
total 8 (1.0%) 72 (9.4%) 4 (0.5%)<br />
Table 4.19: Changes in modal choice and route choice<br />
*possibly trips that use two different bridges in the after situation<br />
Summarizing: the impact on destination choice is marginal<br />
(just one trip), the impact on modal choice is larger<br />
but still small (9 trips, about 1% of all trips), the impact<br />
on route choice is substantial (75 trips, 10% of all trips).<br />
Modal shifts are mainly from car to bicycle, and to a lesser<br />
extent from public transport to both bicycle and walk.<br />
Based on the reported number of 72 bicycle trips that will<br />
use the Plantagebrug, the total number of bicycle trips of<br />
residents of the districts at the east side of the canal that<br />
will use the bridge on a working day are estimated. The<br />
result is 1850 trips. This number regards single trips in<br />
two directions. Because it concerns only trips by residents<br />
that live east of the canal, the total number of cyclists using<br />
the Plantagebrug will probably be significantly higher.<br />
A more complete estimation can be made with data of the<br />
second before study that will be discussed next.<br />
4.8.2 Before and after studies<br />
For evaluation of the impacts of the Plantagebrug on use<br />
of the different bridges, accessibility, and safety a before<br />
and after study are performed. The after study pays in<br />
addition attention to familiarity with the new bridge. Data<br />
for the before study were collected by counts of cyclists at<br />
the Reineveldbrug and Koepoortbrug at a Wednesday in<br />
June 1984, and for the after study by counts at the same<br />
bridges as well as the Plantagebrug at a Wednesday in<br />
September 1986. The intention was to organize the after<br />
counts in June as well but a delay in building the bridge<br />
impelled to postpone these. The after counts were organized<br />
one month after the bridge was put into use. One<br />
of the complementary measures that should contribute to<br />
the attractiveness of the bridge, i.e. building a new route<br />
for cyclists along the Kantoorgracht west of the bridge,<br />
was not finished yet. Absence of this route and possible<br />
unfamiliarity of the new bridge due to the rather small period<br />
of operation will have made that the observed demand<br />
underspends the potential demand.<br />
Both the before and after counts were executed between<br />
7 a.m. and 7 p.m. In addition to the counts, questionnaires<br />
were handed out to a number of cyclists that travelled in<br />
the direction of the inner city (south or west). They were<br />
asked to report origin and destination addresses, travel<br />
purpose, residential municipality, normal use of the different<br />
bridges, possibility to use an alternative mode,<br />
and some personal characteristics. Moreover, they were<br />
asked to draw their route on a map. In the after enquiry, a<br />
question about familiarity of the Plantagebrug was asked<br />
to users of the two other bridges, and possible use of the<br />
alternative bridges was asked to users of the Plantagebrug.<br />
In the before situation 7475 cyclists travelling in the direction<br />
of the inner city were counted on both bridges, 4350<br />
questionnaires were handed out, and 1142 completed<br />
questionnaires were returned. The response was lower<br />
than expected and for that reason returned questionnaires<br />
without route information were used for the analysis<br />
as well (304 questionnaires). In the after situation<br />
6253 cyclists entering the inner city were counted on the<br />
three bridges, 4372 questionnaires were handed out and<br />
1417 completed questionnaires were returned. Now there<br />
was no need for using questionnaires without route information.<br />
The large difference in counted numbers can be<br />
explained by the difference in season. The before counts<br />
were on a hot day in June and included a lot of cyclists<br />
travelling to and from the recreation area Delftse Hout<br />
east of the city that is accessible via the Koepoortbrug. In<br />
the after counts only few cyclists travelled to or from the<br />
Delftse Hout.<br />
Use of the different bridges<br />
Based on the questionnaires, the numbers of cyclists that<br />
use the bridges during the enquiry periods are estimated<br />
by using projection factors. Table 4.20 shows the estimated<br />
figures for the three bridges in the before and after<br />
periods per direction.<br />
entering the inner leaving the inner city both directions<br />
city<br />
before after before after before after<br />
Koepoortbrug 4950 3341 5047 3225 9997 6566<br />
Reineveldbrug 2495 1906 2815 2159 5310 4065<br />
Plantagebrug 0 1006 0 831 0 1837<br />
all bridges 7445 6253 7862 6215 15307 12468<br />
Table 4.20: Cyclists crossing the bridges between 7 a.m. and 7 p.m. on the enquiry days<br />
52 53
The Koepoortbrug functions mainly for local traffic. In the<br />
before situation 89% of the passing bicycles made local<br />
trips: both origin and destination were inside Delft. The<br />
Plantagebrug seems to have strengthened the local function<br />
of the Koepoortbrug: In the after situation the share of<br />
local bicycle traffic on this bridge increased to 91%. The<br />
Reineveldbrug is more important for cyclists that travel<br />
longer distances. The shares of local traffic were 61%<br />
(before) and 65% (after). The local function of this bridge<br />
seems to have been strengthened a little as well. The<br />
function of the Plantagebrug is between that of the two<br />
other bridges. The share of local bicycle traffic was 79%.<br />
Looking at travel purposes, two major differences were<br />
observed between the before and after enquiries. The<br />
number of leisure trips decreased significantly, that of<br />
school trips increased. For all bridges together, the share<br />
of leisure trips fell from 19% to 5%, and the share of<br />
school trips increased from 10% to 22%. The explanation<br />
for the fall in leisure trips has to do with the season and<br />
the weather. As mentioned before, the before enquiry was<br />
performed at a hot day in June, the after enquiry at a day<br />
in September. Why less pupils and students travelled to<br />
school during the before enquiry in June is not clear. If leisure<br />
and school trips are not considered, the distribution<br />
of purposes is similar in both periods, both for each of the<br />
two bridges that existed in the before period, and for the<br />
total of all bridges. The Koepoortbrug is mainly used for<br />
work and shopping and, in the before period, for leisure.<br />
The Reineveldbrug is mainly used for mandatory activities<br />
(work and education). The most practised activity by<br />
cyclists crossing the Plantagebrug is work. The shares of<br />
work and shopping are between the shares observed for<br />
the two other bridges, the share of education is equal to<br />
the low share of the Koepoortbrug, and the shares of the<br />
other distinguished purposes (visit family/friends, leisure,<br />
other) are higher than those of the two alternative bridges<br />
in the after situation.<br />
Familiarity with the Plantagebrug<br />
The after enquiry included questions about familiarity of<br />
the Plantagebrug and competition between the bridges.<br />
Table 4.21 summarizes the results. The first row mentions<br />
the shares of Koepoortbrug and Reineveldbrug users<br />
that were familiar with the Plantagebrug. The Plantagebrug<br />
is better known for Koepoortbrug users than for<br />
Reineveldbrug users. The second row reports the shares<br />
of Koepoortbrug and Reineveldbrug users that already<br />
used the Plantagebrug. Again, the share is higher for<br />
Koepoortbrug users. The two lowest rows indicate which<br />
alternative bridge Plantagebrug users would have used<br />
if the Plantagebrug had not been built. A majority would<br />
have used the Koepoortbrug (third row). However, if the<br />
numbers of those indicating that they alternatively would<br />
have used the Koepoortbrug or Reineveldbrug are compared<br />
to the actual bicycle users of these two alternative<br />
bridges, the figures are similar (fourth row). This suggests<br />
that the attractiveness of the Plantegebrug is similar for<br />
users of the two other bridges. Possible explanations for<br />
the difference in familiarity are a) that a relatively large<br />
share of Reineveldbrug users do not live in Delft and<br />
might be less familiar with projects that are implemented<br />
in Delft, and b) that the Plantagebrug is visible from the<br />
Koepoortbrug and not from the Reineveldbrug.<br />
Koepoortbrug Reineveldbrug other bridges<br />
familiar with Plantagebrug 82% 62% -<br />
use of Plantagebrug 51% 35% -<br />
alternative for Plantagebrug (1) 59% 40% 1%<br />
alternative for Plantagebrug (2) 18% 21% -<br />
(1): share of all Plantagebrug users<br />
(2): percentage of the actual users of the alternative bridge<br />
A general conclusion is that it can take some time before<br />
(nearly) all potential users of a new bridge or other infrastructural<br />
work are familiar with the project.<br />
Expected and observed use<br />
After collection of the before data, the number of cyclists<br />
crossing the Plantagebrug was predicted. The enquiry<br />
gave a lot of information about origins and destinations of<br />
trips by bicycle, and route choice. Using the network data<br />
in the before and after situation that were recorded in the<br />
data bank described in the route choice part of Section<br />
4.7.1 and the model that was calibrated on data regarding<br />
route choice of cyclists leaving the Noordwest district,<br />
4100 cyclists were estimated to use the Plantagebrug at<br />
a working day. This number could be in accordance with<br />
the estimated number of 1850 for only bicycle trips of<br />
residents living in the districts east of the canal (Section<br />
4.8.1). However, the observed number in the after study,<br />
about 1800 (Table 4.20), is considerably lower. Three<br />
reasons can be mentioned for the gap between predicted<br />
and observed numbers, though it is doubtful whether they<br />
can explain the whole difference. One reason is that in the<br />
before situation the overall number of cyclists was higher<br />
than in the after situation. This is mainly due to a large<br />
fall in leisure travel. The Plantagebrug proves to attract<br />
a relatively large part of leisure traffic and is likely to be<br />
more exposed to fluctuations in volume of this traffic than<br />
the other bridges. The second reason is the unfamiliarity<br />
of the Plantagebrug by a number of the potential users.<br />
The third reason is that, unlike it was assumed in the<br />
prediction, not all related projects that contribute to the<br />
attractiveness of the bridge were finished. This is particularly<br />
true for the bicycle route along the Kantoorgracht.<br />
Accessibility<br />
The Plantagebrug reduced the detours that had to be<br />
made by the canal crossing cyclists. The average detour<br />
factor on link level decreased from 1.23 to 1.21. For those<br />
using the Koepoortbrug in both the before and after situation,<br />
the decrease is from 1.25 to 1.24, for those using the<br />
Reineveldbrug the detour is constant at 1.17. For cyclists<br />
that use the Plantagebrug in the after situation, the detour<br />
factor fell from 1.30 to 1.22. Not surprisingly, the Plantagebrug<br />
attracted particularly cyclists that had to make<br />
a large detour in the before situation where the Plantagebrug<br />
offers a more direct route. The reduction in detour<br />
factors is mainly observed for the shorter distances. For<br />
canal crossing trips less than 1400 m, the detour factor<br />
reduced from 1.36 to 1.27, for trips between 1400 m and<br />
3600 m, the reduction was only from 1.23 to 1.22, and for<br />
longer trips no reduction was observed.<br />
Comparing the predicted travel times in the after situation<br />
with the before situation, the Plantagebrug would have<br />
saved 0.2 minute (2%) on average for all canal crossing<br />
bicycle trips. For trips starting in the residential districts at<br />
the east side of the canal, the average savings are 0.3-0.4<br />
minutes (3-4%). For trips that were predicted to use the<br />
Plantagebrug in the after situation, travel time would be<br />
reduced by 1.0 minute (8.5%).<br />
The Plantagebrug does not contribute to the accessibility<br />
of the most important destination of those living east of<br />
the bridge: the market and surrounding shopping area.<br />
The bridge connects with the less attractive northern side<br />
of the inner city while the market is in the southern part.<br />
Likewise, the new bridge does not improve the accessibility<br />
of the central train station that is located south west of<br />
the inner city.<br />
A third important destination is an industrial estate north<br />
of the inner city and about 1 km west of the Plantagebrug.<br />
The Plantagebrug improves the accessibility of this estate<br />
for people living east of the canal substantially and<br />
is used frequently by them in the after situation. The relatively<br />
large numbers using the Plantagebrug for travelling<br />
to the industrial estate explain the high share of workrelated<br />
trips.<br />
Safety<br />
Probably the Plantagebrug will have increased traffic<br />
safety for cyclists. Both the Koepoortbrug and the<br />
Reineveldbrug were experienced as unsafe because cyclists<br />
were not physically separated from the large numbers<br />
of cars crossing the bridges. A number of cyclists<br />
shifted their route from one of these unsafe bridges to the<br />
much safer Plantagebrug. This will have increased general<br />
safety. However, the impact on safety has not been<br />
studied. A study on differences in accidents would have<br />
been difficult because of the very low number of accidents<br />
in such a small area.<br />
4.9 Discussion<br />
The Delft bicycle plan had two objectives: to improve the<br />
infrastructural facilities for cyclists and generating knowledge<br />
about the impact of the upgrade of a whole cycle<br />
54 55
pality; the second mainly the objective of the national government.<br />
Regarding the second objective, next questions<br />
should be answered:<br />
• Does the implementation of a comprehensive bicycle<br />
network lead to an increase in bicycle traffic? The hypothesis<br />
was that providing a comprehensive and integral network<br />
affects bicycle use and its quality more than improving<br />
a number of single bicycle routes.<br />
• Does the implementation of a bicycle network increase<br />
road safety?<br />
• In which way do cyclists use a comprehensive and integral<br />
bicycle network which is perceived as such, and what<br />
are their behavioural responses?<br />
Do the evaluation studies give answers on the questions?<br />
In answering the questions one should consider that the<br />
upgrade of the Delft bicycle network concerned improvements<br />
of an existing network with initially a reasonably<br />
good quality in a city where the bicycle was already used<br />
frequently. The answers may not be valid for cities with<br />
initially a poor bicycle network and low bicycle use.<br />
The studies demonstrate that the measures induced<br />
a short term moderate increase in the number of bicycle<br />
trips and probably a larger increase in the distance<br />
travelled by bicycle. They suggest that the increase is<br />
retained in the long term, but due to problems relating<br />
to small samples and the influences of other factors, a<br />
firm conclusion regarding the long term effects can not<br />
be drawn. In addition, a significant increase in the perceived<br />
quality of the network was observed, in particular<br />
regarding safety, directness and convenience. A similar<br />
result was found for the demonstration projects of single<br />
bicycle paths described in Section 3. The impact on the<br />
perceived quality is more pronounced than the impact on<br />
actual bicycle use.<br />
Would the increase in bicycle use have been larger than<br />
in the case the same money was spent on improving a<br />
number of individual routes? The studies do not answer<br />
this question. We guess that the answer is negative, assuming<br />
that the alternative spending is in the most efficient<br />
way and that initially the network enables cyclists<br />
to move from each origin to each destination (as was the<br />
case in the studied Dutch cities). Considerations behind<br />
the guess are the rather small observed impacts of the<br />
Delft bicycle plan, and, for providing an integral grid network<br />
with a homogeneous quality, the need to employ part<br />
of the money for relatively large investments on routes<br />
with relatively low bicycle volumes. The Plantagebrug is<br />
an example of an expensive project in one of the main<br />
corridors of the defined grid network but outside the most<br />
extensive used bicycle routes. One should note however<br />
that if the money that is actually spent on upgrading an<br />
a priori defined network, would alternatively have been<br />
spent on improving individual routes in the same city,<br />
these routes are likely to form a network as well. The latter<br />
network may not be identical to the defined network for<br />
the upgrade, though both networks will have a number of<br />
links in common.<br />
The increase in the perception of safety is confirmed by<br />
an increase in safety itself. The studies give evidence of a<br />
clear increase of road safety in the short run, despite the<br />
growth of bicycle use, one of the more vulnerable modes.<br />
The long-term impact is less clear and could be smaller<br />
than the short-term impact. The main ingredient for the<br />
safety increase was separation of cyclists from motorized<br />
traffic. The separation is partly spatial by building off-road<br />
bicycle paths and partly temporal by installing traffic lights.<br />
Cyclists prove to assess the three sub networks on urban,<br />
district and neighbourhood level differently. They prefer<br />
use of higher order networks and are willing to make a<br />
detour if then a larger part of the route is travelled on a<br />
higher order network. Cyclists have a clear preference for<br />
off-road bicycle paths. The most important factor for route<br />
choice is travel time. New network links that shorten the<br />
distance (and duration) can be very attractive.<br />
Apart from answers on the three research questions,<br />
other interesting things can be learned from the Delft project.<br />
Firstly, good communication with interest groups and<br />
residents in an early phase is important for a wide support<br />
of the project and a successful implementation of measures.<br />
Secondly, the bicycle has the potential to attract<br />
car users; improving bicycle infrastructure is a possible<br />
measure for a policy that is directed at lowering car use.<br />
Thirdly, the most important reasons for not using the bicycle<br />
for a trip have to do with practical matters and travel<br />
time; infrastructural problems and the traffic situation are<br />
rarely reported reasons for not using the bicycle. These<br />
findings suggest that investing in bicycle infrastructure is<br />
not necessarily the most efficient way for enhancing bicycle<br />
use. Again, it should be noted that this result is valid<br />
for a city that had already a fairly good network. For other<br />
cities the result is likely to be different.<br />
The studies investigated the impacts in the short and the<br />
long run. Could something be said about the impacts in<br />
the very long run? The Dutch Cyclists Union (Fietsersbond)<br />
developed a method for assessing local cycling<br />
conditions for a number of aspects and applied it to a<br />
large number of Dutch cities. This method, called the “Fietsbalans”,<br />
enables to compare the cycling conditions in<br />
the examined cities. Because Delft is one of these cities,<br />
the more recent quality of the Delft bicycle network can<br />
be compared to the network qualities in other cities. The<br />
examination in 2000 (Fietsersbond, 2001) demonstrated<br />
that Delft, compared to other medium-sized cities,<br />
• ranked high regarding traffic safety of cyclists,<br />
• above the average regarding directness (measured by<br />
detour factors, delays at traffic lights and other obstacles,<br />
and speed),<br />
• below the average regarding inconvenience caused by<br />
other traffic (this includes the need to ride behind each<br />
other and exposure to traffic noise),<br />
• and very low regarding pavement.<br />
Generally, Delft takes a medium position between the cities.<br />
The bicycle plan gave Delft not an excellent position<br />
in the long run. One of the reasons is that in many other<br />
cities investments in bicycle infrastructure were made,<br />
partly encouraged by the positive results for Delft. The<br />
relatively good performance regarding directness in Delft<br />
may still be attributed to the bicycle plan. Possibly this is<br />
also true for the high score regarding safety. The very low<br />
score for pavement indicates that Delft did not maintain<br />
the bicycle infrastructure properly. The Delft soil conditions<br />
bring about a rather quick deterioration of the quality<br />
of the tile pavements and a good quality demands for<br />
rather extensive road maintenance.<br />
56 57
5 Shared space in Haren<br />
Shared space is defined as integrated use of public space<br />
by both motorized and non-motorized modes. It is evolved<br />
out of the ‘woonerf’ concept, which is a residential area<br />
with mixed use of traffic and other activities where cars<br />
have to slow down to a walking pace and so accommodate<br />
other usage of the public space. Shared space is<br />
the opposite of modal segregation. In the Netherlands,<br />
shared space is part of the concept of “duurzaam veilig”<br />
(sustainable safe) that aims to design traffic infrastructure<br />
such that it is inherently safe. Shared space impels drivers<br />
of motorized modes to take full account of the slow<br />
modes. This is assumed to lead to safer and socially responsible<br />
traffic behaviour.<br />
The municipality of Haren, one of the more wealthy municipalities<br />
in the agglomeration of Groningen that is the<br />
largest city in the north of the Netherlands, implemented<br />
and evaluated shared space in the Rijksstraatweg in<br />
2002. The Rijksstraatweg is the main road traversing the<br />
town and used to be the major road connecting Groningen<br />
to the south (“Rijksstraatweg” means national road).<br />
However, since a parallel motorway has been built, the<br />
function of the road is mainly local and to some extent<br />
regional. Still, it is the most heavily used road in Haren.<br />
In 2004 8,200 motor vehicles were counted on a working<br />
day. The road crosses the centre of Haren. Figure 5.1<br />
shows the location of Haren in relation to Groningen. The<br />
Rijksstraatweg is indicated in the figure.<br />
5.1 Design<br />
Starting point for the design was making the road an integral<br />
part of the centre. Before, the typical function of the<br />
road was facilitating through traffic and the road created<br />
severance inside the town. The measures to achieve the<br />
intended integration were:<br />
• Removing differences in height at the transverse section<br />
of the road.<br />
• Making the road optically narrower.<br />
• Installing street furniture that is typical for avenues.<br />
• Reducing the maximum speed from 50 km/h to 30 km/h.<br />
5.2 Organisation and implementation<br />
The municipality encouraged participation of citizens in<br />
developing the project. Experts and citizens together dis<br />
cussed about the new design. During the whole process<br />
from planning to completion interested parties were informed.<br />
This policy created a large support among the<br />
citizens for the project. The implementation of the project<br />
was in 2002.<br />
5.3 Evaluation<br />
A few evaluation studies have been executed. These are<br />
summarized by van der Velde and Bos (2008). Evaluated<br />
topics are use of the road, the impact on safety, and the<br />
experience of users of shared space.<br />
5.3.1 Use of shared space<br />
Initially, cars were assumed to use the main lane in the<br />
middle of the road, pedestrians should use primarily the<br />
cussed about the new design. During the whole process<br />
from planning to completion interested parties were informed.<br />
This policy created a large support among the<br />
citizens for the project. The implementation of the project<br />
was in 2002.<br />
5.3 Evaluation<br />
Figure 5.1: Location of Haren southeast of the city of<br />
Groningen.<br />
A few evaluation studies have been executed. These are<br />
summarized by van der Velde and Bos (2008). Evaluated<br />
58 59
topics are use of the road, the impact on safety, and the<br />
experience of users of shared space.<br />
5.3.1 Use of shared space<br />
Initially, cars were assumed to use the main lane in the<br />
middle of the road, pedestrians should use primarily the<br />
side lanes, and cyclists had no instruction about which<br />
lanes to use. One of the evaluation results was that usage<br />
of both the lane in the middle and the side lanes by<br />
cyclists gave an unclear situation and increased the perception<br />
of unsafety. Based on this result, the room for cyclists<br />
was restricted to the lane in the middle that they use<br />
together with cars.<br />
Regarding use of the shared space it was observed that:<br />
• Slow modes cross the road all over. These usually<br />
choose the most direct route to the destination at the other<br />
side of the road. Pedestrians frequently do not use the<br />
crosswalks, even if a crosswalk is close by.<br />
• Cars drive slowly and anticipate crossing pedestrians.<br />
They generally give priority to pedestrians that use the<br />
crosswalks, and sometimes to those that cross elsewhere.<br />
This implies a good social interaction.<br />
• Cars take account of bicycles riding before them. They<br />
usually stay behind when there is no good possibility for<br />
overtaking.<br />
• Car drivers generally give no priority to cyclists that enter<br />
from side streets, and the cyclists do not expect priority to<br />
be given. The reason might be different pavements that<br />
suggest that one road has priority to the other. This unintended<br />
result did not create conflicts.<br />
• The volume of motor vehicles on the Rijksstraatweg did<br />
not change noticeably.<br />
5.3.2 Safety<br />
Increasing safety is a main objective of shared space.<br />
The impact on safety is examined by comparing the numbers<br />
of accidents and casualties in the periods before and<br />
after the implementation of shared space.<br />
In the before period (1994-2001) the average number of<br />
annual accidents was nearly 11. The number fluctuated<br />
between 6 and 14. In the after period (2003-2007) the<br />
annual average was 5 with fluctuations from 3 to 9. The<br />
highest number of 9 accidents was observed in 2003,<br />
shortly after the implementation. Possibly users need<br />
time to become familiar with the new situation. Despite<br />
Figure 5.2: Two sections of the road before (left) and after (right) implementing<br />
shared space (source: van der Velde and Bos, 2008)<br />
the low absolute numbers, there is clear evidence that<br />
safety increased significantly.<br />
An even stronger decrease is observed for the number of<br />
casualties. In the before period the annual average was<br />
about 2.5 and the number fluctuated between 1 and 5. In<br />
the after period only one casualty was registered in the<br />
whole 5-year period.<br />
The nature of the accidents changed somewhat. In the<br />
before situation the most observed category of accidents<br />
were those related to insufficient distance to vehicles in<br />
front (26% of all accidents); rear-end collision was a typical<br />
accident. In the after situation the most observed accidents<br />
were those related to not giving priority, wrongly<br />
turning a corner, and driving too far to the right (for 20%,<br />
12%, and 12% of the accidents respectively).<br />
In both the before and after periods most accidents were<br />
due to collisions between cars. The numbers of collisions<br />
between cars and bicycles and collisions between bicycles<br />
were relatively small and remained to be relatively<br />
small. The change from segregated infrastructure with<br />
separated bicycle paths to shared space with mixed use<br />
of the main lane by cars and bicycles did not increase the<br />
relative unsafety of cyclists. In connection with the overall<br />
increase in safety, the absolute numbers of all types of<br />
collisions decreased.<br />
5.3.3 Perception of shared space<br />
A number of residents were interviewed by phone about<br />
their opinion on changes due to the redesign of the Rijksstraatweg.<br />
Corresponding with the observed changes,<br />
the respondents have the opinion that vehicle speeds<br />
lowered, traffic volume is unchanged, and road users take<br />
more account of each other. In contrast with the observed<br />
statistics, the respondents felt a decrease of safety. This<br />
feeling was mainly due to the unclear position of the bicycle<br />
that was allowed to use both the main lane in the<br />
middle of the road and the side lanes. After adapting the<br />
rules the feeling of unsafety might have been reduced.<br />
According to the respondents, the centre looks better<br />
and has become more attractive. The Rijksstraatweg is<br />
considered to be more integrated in the centre. The Rijksstraatweg<br />
used to be an important barrier inside the<br />
town and the centre, but after implementation of shared<br />
space the severance reduced substantially. Lowering of<br />
the severance was one of the main objectives of shared<br />
space.<br />
Figure 5.3: Use of the shared space (source: van der<br />
Velde and Bos, 2008)<br />
5.3.4 Economy<br />
One of the results reported in the preceding section was<br />
an increase of attractiveness of the city centre. Nevertheless,<br />
the respondents indicated not to visit the centre<br />
more frequently. Possibly, the centre benefits from more<br />
visits by people from outside Haren; however, this has not<br />
been studied.<br />
5.3.5 Conclusion<br />
Shared space can be highly beneficial. It has the potential<br />
to increase safety significantly and lower the severance<br />
of a road. The increase in safety is remarkable, because<br />
modes that have quite different speeds in normal use are<br />
mixed. The main explanation for the increased safety is<br />
that the design tempts the faster vehicles to drive with<br />
low speeds. The example of Haren proves that shared<br />
space can be applied for roads with a rather high volume<br />
of motor vehicles.<br />
However, it should be stressed that ‘shared space’ has<br />
its specific contextual conditions of application. The public<br />
space should have a substantial ‘habitat’ function. And<br />
the concept is likely to be more successful if adjusted driving<br />
behaviour is already part of the local traffic culture.<br />
60 61
6 BICYCLE STREET IN HAARLEM<br />
A bicycle street is a street for mixed traffic (bicycles and<br />
cars) where the bicycle is the main user and the car is<br />
guest. The concept of the bicycle street was first applied<br />
some decades ago in both a few German and Dutch cities.<br />
Recently, in the Netherlands it evolved to be a general<br />
frequently applied concept. The main function of<br />
bicycle streets in the Netherlands is provision of bicycle<br />
routes through residential areas that are part of the main<br />
bicycle network. Bicycle streets offer alternative routes for<br />
the main roads. The benefits for the cyclists are that they<br />
are not exposed to the polluting emissions of the cars,<br />
may have a more direct route, and can avoid traffic lights.<br />
In the case that no bicycle paths are provided along the<br />
main roads, an additional benefit is avoidance of the inconvenient<br />
and unsafe mixed use of roads with high car<br />
volumes (Andriesse and Hansen, 1996).<br />
Bicycle streets are links in the main bicycle networks and<br />
should meet high quality standards for cyclists. Hindrance<br />
by cars using the streets should be minimal. For that:<br />
width of the later should not exceed 1.1 m. Cyclists are<br />
assumed to use only the comfortable roadway, the side<br />
lanes make that room for cars is sufficient.<br />
Many bicycle streets have been recently built in the Netherlands,<br />
but only few are evaluated. One of these is the<br />
Venkelstraat in the city of Haarlem. Haarlem is a city of<br />
about 150,000 inhabitants located 20 km west of Amsterdam.<br />
The Venkelstraat is a street through a residential<br />
area and part of a main bicycle route to the city centre<br />
(Figure 6.1). The street is reconstructed as a bicycle street<br />
and became the first bicycle street in the city. Design and<br />
use of this street have been evaluated (Kho, 2006).<br />
• Through car traffic should be inhibited; only local cars<br />
preferably use the streets.<br />
• The number of cyclists should be large compared to the<br />
number of car users.<br />
• Cyclists have priority; they don’t need to go aside in order<br />
to allow a car behind them to overtake.<br />
• The design of the street clarifies that the street is a bicycle<br />
street and not a main road for cars. Bicycle streets<br />
should not be too wide. In the Netherlands, bicycle streets<br />
usually are paved with red asphalt that is typically used<br />
for bicycle paths.<br />
The number of cyclists of a bicycle street should be high<br />
but not too high. If the number of cyclists exceeds 600 per<br />
hour and per direction, there is hardly room for car users.<br />
In that case cars should be admitted only for a short road<br />
section, no longer than 300 m (Andriesse and Hansen,<br />
1996).<br />
Andriesse and Hansen recommend allowing cars to use<br />
a bicycle street in only one direction (unlike the bicycles).<br />
The corresponding transverse section is 3.5 to 4 m (Andriesse<br />
and Ligtermoet, 2006). If cars are allowed to<br />
move in both directions, the proposed width is about 4.5<br />
m. Generally, Dutch bicycle streets exist of a roadway in<br />
the middle paved with red asphalt and additional narrow<br />
lanes at each side that could be paved with bricks; the<br />
Figure 6.1: Location of the bicycle street Venkelstraat.<br />
6.1 Design<br />
The Venkelstraat has the typical design for Dutch bicycle<br />
streets. There is a wide lane with red asphalt in the middle<br />
of the road and there are two narrow side lanes at each<br />
side, paved with bricks. Cyclists are assumed to use the<br />
red lane in the middle, the side lanes give cars enough<br />
space to come across each other (Figure 6.2). The street<br />
is accessible in both directions to both cars and cyclists.<br />
6.2 Evaluation<br />
The evaluation is restricted to the design and the way the<br />
62 63
street is used by both car drivers and cyclists. Impacts on<br />
travel behaviour like modal choice are not studied. Questionnaires<br />
were distributed to people living at or near the<br />
Venkelstraat and to pupils and employees of the Rudolf<br />
Steinerschool, a school for both primary and secondary<br />
education. The school is located at the southern end of<br />
the Venkelstraat. The number of distributed questionnaires<br />
was 1500: 750 to residents of the street and surroundings,<br />
and another 750 to pupils and employees of<br />
the school. The number of returned questionnaires was<br />
335, about 200 from the residents and about 130 from<br />
those connected to the school. Most questions in the<br />
questionnaire were multiple-choice, though there was<br />
room for additional remarks and suggestions.<br />
The results demonstrate that people generally are satisfied<br />
with the bicycle street; 58% of the respondents<br />
reported that they were satisfied or very satisfied, 16%<br />
was dissatisfied or very dissatisfied. The remaining respondents<br />
had no clear opinion. An even higher share<br />
of respondents was satisfied with the look of the street<br />
(72%), where only 10% was dissatisfied. A majority had<br />
the opinion that noise nuisance was not affected, while<br />
more respondents that felt that noise nuisance decreased<br />
(21%) than increased (6%). According to most respondents<br />
current provisions regarding speed ramps and lighting<br />
are sufficient.<br />
The respondents were asked whether they use the street<br />
as a car driver or as a cyclist. Something less than a half<br />
(42%) report using the street as a car driver, a large majority<br />
(91%) indicate that they use the street as a cyclist<br />
or moped rider. Both car drivers and cyclists were asked<br />
about the way they use the street.<br />
Most car drivers (82%) are aware that cyclists have priority<br />
and need not to go aside for overtaking cars. Interestingly,<br />
a large share of cyclists (61%) answer that they<br />
actually go aside when a car approaches on the back.<br />
Nearly half of the car drivers (44%) cannot conclude from<br />
the design of the street that cyclists have priority. Most of<br />
the car drivers (61%) use the street wrongly: they drive<br />
fully on the red lane in the middle. The share of cyclists<br />
that know that the red asphalt is dedicated for them is<br />
smaller, only 55%. These results indicate that many users<br />
do not know how the bicycle street should be used.<br />
This can be explained by the fact that 67% of the respondents<br />
had not read information about the bicycle street.<br />
Both communication and design of the street should be<br />
improved.<br />
A number of respondents suggested that marking the<br />
middle of the street would increase clarity about function<br />
and usage. The street gets the look of a bicycle path and<br />
gives car drivers the feeling that they have to ride at the<br />
right side of the road. The municipality complied with this<br />
suggestion and put road signs informing that the street<br />
is a bicycle street. Figure 6.3 displays the situation after<br />
marking and signposting.<br />
General conclusions from the Venkelstraat evaluation<br />
are that a good communication with users is important;<br />
that users generally are satisfied with the street; that the<br />
way the street has to be used is not self-evident; and that<br />
marking the middle of the street and signposting increase<br />
clarity about how the street should be used.<br />
With respect to marking the middle of the street, it should<br />
be added that a number of bicycle streets in the Netherlands<br />
are provided with a spherical median that can be<br />
driven over by vehicles.<br />
Figure 6.3 Venkelstraat Haarlem after marking and signposting<br />
(source: Ligtermoet, 2006)<br />
Figure 6.2: Venkelstraat in Haarlem (source: Kho, 2006)<br />
64 65
7 Interurban highway for cyclists<br />
7.1 Context<br />
Rather recent are initiatives to promote interurban cycling<br />
as a means to relieve the congestion on motor highways.<br />
In the Dutch pattern of urbanisation there is a large share<br />
of interurban commuting on distances below 20 km. If<br />
these commuters go by car they use the motor highway<br />
system, and congestion on these highways has been a<br />
growing problem for years. Regional car trips (on relatively<br />
short distances) appear to contribute substantially<br />
to the congestion problems. Now the idea is that by making<br />
high quality bicycle connections in some highway corridors<br />
a number of commuters would be prepared to shift<br />
to cycling to avoid the congestion on the highways. This<br />
type of projects is implemented within the framework of<br />
the project ‘Fiets filevrij’ (Cycle Congestion Free), and<br />
combines infrastructural improvements of interurban bicycle<br />
infrastructure with promotion activities to seduce<br />
‘short distance’ car drivers to shift to cycling.<br />
and using highway A13.<br />
7.3 Organisation and implementation<br />
Fiets Filevrij is one of the 40 projects of the ministerial<br />
programme ‘File proof’ (Congestion proof). The project is<br />
coordinated by the Fietsersbond (Dutch Cyclists’ Union)<br />
and provides a framework for co-operation of road authorities<br />
that are relevant in the specific situation (municipalities,<br />
provinces, national government if applicable) and<br />
interested other organisations to jointly implement the<br />
interurban bicycle highway, including a dedicated marketing<br />
programme to seduce car drivers to shift to cycling for<br />
one or more times per week.<br />
7.4 The costs<br />
In principle all road authorities will pay the costs of interventions<br />
on their own roads. The national government is<br />
prepared to pay 20% of the costs of the project.<br />
7.5 Evaluation<br />
Figure 7.1: Map showing in green the implemented bicycle<br />
highways, in blue the planned ones and in ochre<br />
those for which a feasibility study is going on.<br />
7.2 Design<br />
Figure 7.2: Bicycle highway Rotterdam – Delft<br />
We take as an example the route between Rotterdam and<br />
Delft. The route is a direct and ‘fast’ bicycle route. The 10<br />
km route is for the most part implemented as an off road<br />
bicycle track, and it has only a few intersections and no<br />
traffic lights at all. So cyclists will have no delay, even<br />
more so because at the few remaining intersections the<br />
cyclist has right of way. The bicycle track is two directional<br />
and for most parts conveniently wide and paved with<br />
(smooth) asphalt. It provides an alternative (by bicycle)<br />
for motorists commuting between Rotterdam and Delft<br />
In a recent model study Goudappel Coffeng (2011) calculated<br />
that investments in fast bicycle routes will have societal<br />
benefits with regard to mobility, economy, health and<br />
climate. The calculation was done for the 27 planned and<br />
implemented bicycle highway projects shown in Figure<br />
7.1, covering 675 km in 8 provinces. These projects will<br />
create fast and undisturbed bicycle connections between<br />
(sometimes a chain of) towns and villages. The calculations<br />
are executed by Goudappel’s National Transport<br />
Model and based on the assumption that the average cycling<br />
speed increases from 15 km/h to 18 km/h. A summary<br />
of the most striking model outcomes suggests that the<br />
construction of these bicycle highways would result into:<br />
• 0.7% less trips by car and 1.3% more trips by bicycle in<br />
the Netherlands at large, suggestion and put road signs<br />
informing that the street is a bicycle street. Figure 6.3 displays<br />
the situation after marking and signposting.<br />
• Decreased car use resulting in an annual reduction of 80<br />
million kg CO2 emission.<br />
• Improved public health resulting in yearly savings of €<br />
100 million on health care and avoidance of premature<br />
deaths.<br />
• A decrease of travel delay in rush hours of 15,000 h per<br />
day, which would result in savings of € 40 million per year.<br />
Bicycle highways are very suitable for the relatively fast<br />
electric bicycles (type pedalec) which are becoming increasingly<br />
popular. The study calculates that if 50% of<br />
the bicycles would be pedalecs, the effects would have<br />
been two- to threefold, based on the assumption that the<br />
average speed of these pedalecs would increase from<br />
20 km/h on regular bicycle tracks to 24 km/h on bicycle<br />
highways.<br />
66 67
8 Synthesis of Dutch findings and implementation in other<br />
countries.<br />
The Netherlands have a tradition of high bicycle usage<br />
and a long history of policies that promote cycling. Because<br />
the intention to promote the bicycle raised the demand<br />
for knowledge on the effectiveness of alternative<br />
policy measures, a large number of studies in the field of<br />
cycling have been undertaken. These created a wealth<br />
of knowledge that is partly inaccessible for non-Dutch<br />
speaking persons. It is valuable to transfer this experience<br />
and knowledge to other countries and to provide<br />
recommendations for a good cycling policy.<br />
Recommendations for good cycling policies that are<br />
based on the Dutch research are limited in one respect.<br />
The bicycle research carried out in the Netherlands was<br />
conducted when adequate cycling facilities and networks<br />
as well as a bicycle ‘culture’ already existed all over the<br />
country. Consequently, studies on the effectiveness of<br />
policy measures give information that is valid in this situation<br />
and may not be (fully) applicable for countries where<br />
the bicycle is hardly used. Other differences between<br />
the contexts in other countries and the contexts in The<br />
Netherlands may reduce the transferability of the Dutch<br />
results.<br />
This section gives an overview of the main conclusions<br />
that can be drawn from the Dutch experience and research<br />
and which recommendations can be given to other<br />
countries.<br />
8.1 Conclusions<br />
General conclusions are:<br />
1. Policies influence bicycle use and can be effective in<br />
sustaining high levels of cycling and strengthening cycling<br />
culture.<br />
The influence of policy measures is evident from many<br />
studies. One of the most influential of these studies is<br />
the benchmark study of the Dutch Cyclists’ Union that<br />
showed a positive correlation between bicycle use and<br />
the quality of cycling facilities in Dutch cities.<br />
The interesting question what the preconditions are for a<br />
cycling culture as far as they are in the sphere of policy<br />
can not be answered fully by the reviewed studies. Certainly,<br />
the ‘technical’ requirements that a) the locations<br />
people visit generally are accessible by bicycle and b)<br />
there is an infrastructure for selling and repairing bicycles<br />
are preconditions. We assume that a proper level of safety<br />
is another one. The strong decline of bicycle usage in<br />
some countries after the increase in car usage, leaving a<br />
marginal role for the bicycle, might be explained by the<br />
fact that cycling became too risky due to the increasing<br />
car volumes or that at least the perception of the risk discouraged<br />
people to continue cycling.<br />
In the Netherlands, generally five main requirements for a<br />
good bicycle network are considered: coherence, directness,<br />
attractiveness, safety, and comfort. These are directly<br />
derived from findings of the extensively evaluated<br />
projects in The Hague, Tilburg, and Delft.<br />
Sometimes the bicycle benefits from restrictive policies<br />
applied to alternative modes. Most notably are car restraint<br />
policies in the centres of many Dutch cities, and a<br />
severe parking policy. We know little about the effects on<br />
bicycle use for urban trips, but these could exceed occasionally<br />
the impacts of bicycle-directed policy.<br />
If there is a cycling culture, policy and culture will influence<br />
each other. Infrastructure design is both part of building a<br />
‘traffic culture’ and the expression of that culture. The cycling<br />
culture has obviously many more elements to it than<br />
only the infrastructure: bicycle parking facilities, bicycle<br />
related services, good transfer facilities to accommodated<br />
cycling as a feeder mode to the rail system, cycling<br />
people on adds for very diverse products (showing the<br />
normality of cycling), the relative absence of ‘dressed up’<br />
cyclists in lycra, etc. Yet the ‘Dutch school’ road design is<br />
clearly a substantial part of the Dutch ‘cycling-inclusive’<br />
traffic culture. The provision of good quality bicycle infrastructure<br />
is partly because bicycle use is high, and bicycle<br />
use is high because there is a good cycling infrastructure.<br />
2. Investments in bicycle infrastructure have generally a<br />
larger impact on the qualitative perception than on measurable<br />
quantities.<br />
This conclusion is valid for both safety and bicycle use.<br />
Generally, the perceived improvement of safety was<br />
significant but was not (fully) reflected by the observed<br />
decrease in accidents and casualties. Correspondingly,<br />
the general appreciation of improved infrastructure is<br />
substantial (not in the least because of the improved perceived<br />
safety), while the observed increases of bicycle<br />
use are moderate.<br />
The main reason why the studies never show a large<br />
increase in bicycle use is that the investments brought<br />
about improvements of infrastructure that was already<br />
adequate. The improvements occur gradually, even in the<br />
case of a city-wide project like the Delft bicycle network.<br />
68 69
Additionally, habitual behaviour may hamper behavioural<br />
changes, at least in the short run. It is general thought that<br />
habituated travel behaviour is reconsidered only after a<br />
significant change in relevant conditions, and the gradual<br />
improvements in bicycle conditions (that are often implemented<br />
step by step) individually might be too limited.<br />
3. Involvement of citizens and interest groups in an early<br />
phase of a project creates civic support and enlarges the<br />
probability of successful implementation.<br />
The demonstration projects in Tilburg and The Hague had<br />
to be completed in a short time frame due to political reasons<br />
and there was limited time for informing and consulting<br />
citizens and interest groups. Insufficient involvement<br />
of these was an important reason why the planned bicycle<br />
route in The Hague never has been completed and even<br />
completed parts of the route later were abolished. In the<br />
Delft project, a good example of early involvement, the<br />
project had a wide support and large a number of measures<br />
could be implemented without severe opposition.<br />
4. Travel time is the most important explanatory variable<br />
for route choice.<br />
Cyclists are strongly motivated to minimize travel times<br />
(for utilitarian trips). Travel time has a significantly larger<br />
impact on route choice than does travel distance. Consequently,<br />
cyclists will take a longer route if the travel time is<br />
(expected) to be shorted.<br />
age experienced as more safe than one sided two-directional<br />
cycle tracks.<br />
Cyclists on two directional tracks cycling closest to head<br />
on car traffic felt significantly less safe than cyclists cycling<br />
near the sidewalk. Upon that, at intersections car<br />
drivers tend to overlook cyclists coming from the ‘wrong’,<br />
i.e. unexpected direction.<br />
References<br />
AGV (1994) Evaluatie fietsroutenetwerk Delft, thema verkeersveiligheid,<br />
Adviesgroep voor verkeer en vervoer,<br />
Nieuwegein.<br />
Andriesse, H.C., I.A. Hansen (1996) De fietsstraat,<br />
Onderzoek naar fietsverbindingen door verblijfsgebieden,<br />
Technische Universiteit Delft, Delft.<br />
Andriesse, R., D. Ligtermoet (2006) Fietsstraten in hoofdfietsroutes,<br />
toepassingen in de praktijk, CROW-publicatie<br />
216, Ede.<br />
Boggelen, O. van, R. Becht (2001) De Fietsbalans, Gemeentelijk<br />
Fietsbeleid Vergeleken, Verkeerskunde 52 (9).<br />
Bovy, P.H.L (1984) Evaluatie fietsroutenetwerk Delft,<br />
Routekeuzegedrag en netwerkgebruik, vooronderzoek,<br />
Delft.<br />
Bovy, P.H.L., D.N. den Adel (1987) Evaluatie fietsroutenetwerk<br />
Delft, Mobiliteit in middelgrote steden, Delft.<br />
Bovy, P.H.L., M.J.P.F. Gommers (1988) Evaluatie fietsroutenetwerk<br />
Delft, Voor- en nastudie verkeersonveiligheid,<br />
Delft.<br />
CBS (1994, 1) De mobiliteit van de Nederlandse bevolking<br />
in 1993, Centraal Bureau voor de Statistiek, Heerlen.<br />
Diepens en Okkema (1993) Evaluatie fietsroutenetwerk<br />
Delft, thema 1 en 2, rapport 93.158/221, Delft.<br />
Diepens en Okkema (1994) Evaluatie fietsroutenetwerk<br />
Delft, eindrapportage, rapport 93.181/258-2, Delft.<br />
Economisch Instituut voor het Midden- en Kleinbedrijf, Rijkswaterstaat<br />
(1981) Onderzoek winkelomzetten demonstratie-fietsroutes<br />
Den Haag – Tilburg, Eindrapport.<br />
Fietsersbond (2001) Eindrapport Fietsbalans, Delft,<br />
Utrecht.<br />
Fietsersbond (2010) Fietsen in cijfers, Utrecht.<br />
Gemeente Tilburg (1975) Tilburgers op de fiets, een<br />
demonstratieproject deel 1, Tilburg.<br />
Gemeente Tilburg (1977) Tilburgers op de fiets, een<br />
demonstratieproject deel 2, Tilburg.<br />
Goeverden, C.D. van, T. Godefrooij (2010) Ontwikkeling<br />
van het fietsbeleid en -gebruik in Nederland, Proceedings<br />
Colloquium Vervoersplanologisch Speurwerk, Delft.<br />
Gommers, M.J.P.F., P.H.L. Bovy (1987) Evaluatie fietsroutenetwerk<br />
Delft, Routekeuzegedrag en netwerkgebruik,<br />
eindrapport, Delft.<br />
Goudappel en Coffeng, Rijkswaterstaat (1980) Gebruiksonderzoek<br />
demonstratie-fietsroute Tilburg.<br />
5. There is a positive relationship between the continuity<br />
and recognisability of bicycle facilities and the appreciation<br />
of these facilities by cyclists.<br />
With regard to the demonstration bicycle routes in The<br />
Hague and Tilburg it were the elements underlining the<br />
recognisability and continuity (like the red coloured pavement)<br />
that were mentioned spontaneously by cyclists as<br />
‘being a very good idea’.<br />
6. Cyclists have a clear preference for undisturbed and<br />
convenient cycling conditions.<br />
Also the possibility of safe and undisturbed cycling (by<br />
providing segregated facilities) was mentioned spontaneously<br />
by many respondents as a big advantage of the<br />
routes in The Hague and Tilburg.<br />
7. Two sided one-directional bicycle tracks are on aver-<br />
CBS (1994, 2) Statistisch jaarboek 1994, SDU, ’s-Gravenhage.<br />
CROW (1993) Sign Up for The <strong>Bike</strong>, Design manual for a<br />
cycle-friendly infrastructure, CROW, Ede.<br />
CROW (2006) Design Manual for Bicycle Traffic, CROW,<br />
Ede.<br />
DHV, Goudappel en Coffeng, Rijkswaterstaat (1980) Gebruiksonderzoek<br />
demonstratie-fietsroutes Den Haag –<br />
Tilburg, Samenvattend rapport.<br />
Dienst der Gemeentewerken ’s-Gravenhage (1978)<br />
Voorlichtingsbrochure ‘Demonstratie-fietsroute Den Haag<br />
1975-1979’, Den Haag.<br />
Dienst der Gemeentewerken ’s-Gravenhage (1984) Evaluatie<br />
demonstratie-fietsroute, Den Haag.<br />
Goudappel en Coffeng, Rijkswaterstaat (1981, 1) Technische<br />
evaluatiestudie demonstratie-fietsroutes Den<br />
Haag – Tilburg, Eindrapport.<br />
Goudappel en Coffeng, Rijkswaterstaat (1981, 2) Technische<br />
evaluatiestudie demonstratie-fietsroutes Den<br />
Haag – Tilburg, Bijlagen.<br />
Goudappel en Coffeng, Rijkswaterstaat (1981, 3) Onderzoek<br />
verkeersveiligheid demonstratie-fietsroute Tilburg,<br />
Eindrapport.<br />
Goudappel en Coffeng, Rijkswaterstaat (1981, 4) Onderzoek<br />
verkeersveiligheid demonstratie-fietsroute Den<br />
Haag, Eindrapport.<br />
Goudappel Coffeng (2011) Fietssnelwegen 1 maart: Wat<br />
levert het op, Toelichting berekeningen, Goudappel Coffeng,<br />
Deventer.<br />
70 71
Grotenhuis, D.H. ten (1987) The Delft Cycle Plan –<br />
Characteristics of the concept, Proceedings Velocity 87,<br />
CROW, Ede.<br />
Hartman, J.B. (1987) How to provide a cycle network of<br />
good quality, when minimizing costs, Proceedings Velocity<br />
87, CROW, Ede.<br />
Horst, A.R.A. van der, R.M.M. Sijmonsma (1978) Gedragswaarnemingen<br />
op de Demonstratie Fietsroutes in Den<br />
Haag en Tilburg, 1.: De ontwikkeling van een meetinstrument,<br />
Instituut voor Zintuigfysiologie TNO, Soesterberg.<br />
Instituut voor Zintuigfysiologie TNO, Rijkswaterstaat<br />
(1981) Onderzoek vormgeving demonstratie-fietsroutes<br />
Den Haag – Tilburg, Samenvatting, conclusies en aanbevelingen.<br />
Instituut voor Zintuigfysiologie TNO, Rijkswaterstaat<br />
(1982) Onderzoek vormgeving demonstratiefietsroutes<br />
Den Haag – Tilburg Eindrapport.<br />
Katteler, H., O. Förg, W. Brög (1984) Evaluatie fietsroutenetwerk<br />
Delft, Verplaatsingsgedrag, vooronderzoek, Instituut<br />
voor toegepaste sociologie & Sozialforschung Brög,<br />
Nijmegen.<br />
Katteler, H., O. Förg, W. Brög (1985) Evaluatie fietsroutenetwerk<br />
Delft, Marges voor het fietsgebruik, vooronderzoek,<br />
Instituut voor toegepaste sociologie & Sozialforschung<br />
Brög, Nijmegen.<br />
Katteler, H., E. Erl, O. Förg, W. Brög, J. Kropman (1987)<br />
Evaluatie fietsroutenetwerk Delft, Vervoermiddelgebruik<br />
en keuzebeperkingen, Instituut voor toegepaste sociale<br />
wetenschappen & Sozialforschung Brög, Nijmegen.<br />
Kho, P.J. (2006) Fietsstraat Venkelstraat, Uitslag gebruikersonderzoek,<br />
Gemeente Haarlem, Haarlem.<br />
Kropman, J., J. Neeskens (1986) Evaluatie fietsroutenetwerk<br />
Delft, Plantagebrug, verwachte effecten, Instituut<br />
voor toegepaste sociale wetenschappen, Nijmegen.<br />
Ligtermoet, D. (2006) Fietsstraten, het modieuze voorbij,<br />
Een overzicht van nieuwe toepassingen, Fietsverkeer nr.<br />
14.<br />
Ministerie van Verkeer en Waterstaat (1977) Demonstratie-project<br />
fietsroute Tilburg, The Hague.<br />
Ministerie van Verkeer en Waterstaat (1998) Eindrapport<br />
Masterplan Fiets, Samenvatting, evaluatie en overzicht<br />
van de projecten in het kader van het Masterplan Fiets,<br />
1990-1997, The Hague.<br />
Ministry of Transport and Public Works (1986) Evaluation<br />
of the Delft Bicycle Network, Summary report of the<br />
before-study, The Hague.<br />
Ministry of Transport and Public Works (1987) Evaluation<br />
of the Delft Bicycle Network, Final summary report, The<br />
Hague.<br />
Ministry of Transport and Public Works (1993) Facts<br />
about cycling in the Netherlands, The Hague.<br />
Mobycon, Fietsberaad, Ligtermoet & Partners, Ministerie<br />
van Verkeer en Waterstaat (2009), Cycling in the Netherlands.<br />
MuConsult (1993) Lange termijn effecten fietsroutenetwerk<br />
Delft, Mobiliteitseffecten: Samenvatting, Utrecht.<br />
Rijkswaterstaat Dienst Verkeerkunde, Instituut voor Zintuigfysiologie<br />
TNO (1980) Demonstratie-fietsroutes Den<br />
Haag / Tilburg – Studiegroep vormgeving, Eindrapport<br />
gedragsobservaties.<br />
Schafer, A. (1998) The global demand for motorized mobility,<br />
Transportation Research A. 32 (6), pp. 455-477.<br />
Schneider, F., P. Mayerhofer, J. Kiesewetter (1988) Ein<br />
Simulationsmodell für Oberösterreich: Eine Untersuchung<br />
wirtschaftspolitischer Massnahmen anhand eines<br />
nach Sektoren disaggregierten ökonometrischen Regionalmodells,<br />
Universitätsverlag Rudolf Trauner, Linz.<br />
Transecon (2003) Deliverable 5, Socio-Economic Impact<br />
Assessment, Newcastle.<br />
Van den Broecke, Rijkswaterstaat (1980) Belevingsonderzoek<br />
demonstratie-fietsroutes Den Haag – Tilburg,<br />
Samenvattend rapport.<br />
Van den Broecke, Rijkswaterstaat (1981) Evaluatie van<br />
opzet, organisatie, uitvoering, demonstratie demonstratie-fietsroutes<br />
Den Haag – Tilburg, Amsterdam.<br />
Velde, R.R. van der, E. Bos (2008) Shared space Haren,<br />
Evaluatie en integratie, Concept, Grontmij, Haren.<br />
Wilmink, A. (1987) The effects of an urban bicycle network,<br />
results of the ‘Delft project’, Proceedings Velocity<br />
87, CROW, Ede.<br />
72 73
SECTION FOUR: RECOMMENDATIONS
The recommendations are divided in 3 sections which<br />
represent the research packages developed in the project<br />
Interventions to the Bicycle Infrastructure.<br />
<strong>Bike</strong> <strong>Infrastructures</strong><br />
The results indicate that fast connectivity, attractive landscape<br />
and safety – in this order of relevance – are strategic<br />
dimensions of a design solution that must be taken in<br />
consideration by architects, planners and engineers.<br />
Statistic analysis re¬veals how the relationship between<br />
age group and travel purpose can further enhance future<br />
biking infrastructures, for example younger cyclists are<br />
more likely to be travel¬ing to study or school, whereas<br />
the older cyclists are trav¬eling to work. Therefore future<br />
infrastructures could cater for this division creating faster,<br />
safer and less congested bike lanes.<br />
When deciding to implement or improve a bike infrastructure,<br />
the particular qualities and potentials of different<br />
bike typologies should be analyzed in order to decide<br />
what kind of bike infrastructure would be appropriate to<br />
be implemented.<br />
Different typologies or a conjugation of typologies can be<br />
ef¬ficiently used for commuting. Again, what seems to be<br />
important is how fast the infrastructure connects the cyclists,<br />
how attractive is the landscape and how safe it is to<br />
ride a bike in the infrastructure.<br />
National Survey<br />
For the period 2010-2014 it is expected that more than<br />
2 billion Danish kroner will be invested in bike-promoting<br />
initiatives in Denmark. Some projects are inventive by<br />
testing out new initiatives and the magnitude of projects<br />
alone represents a golden opportunity to obtain valuable<br />
knowledge upon the cycling effects of various bikepromoting<br />
initiatives. This could significantly improve the<br />
basis for the future prioritizing of bike-promoting projects.<br />
Performing such evaluations requires that before/after<br />
registrations on relevant parameters is performed.<br />
The national questionnaire indicates that the municipalities<br />
only to a limited extent perform before/after registrations<br />
that allow scientifically based before-after studies of<br />
effect to be performed. Consequently, it seems relevant to<br />
build an incentive structure that ensures that the municipalities<br />
make such registrations – especially when initiatives<br />
with little or none existing documentation of effects<br />
are implemented.<br />
The national Cycling Fund holds promise of such an incentive<br />
structure, as those receiving financial support<br />
from the funds must make evaluations of the effects of<br />
the supported projects. However, in this case it is highly<br />
unfortunate that no systematic evaluation program/<br />
scheme has been implemented. Setting up standards<br />
for the evaluations would allow for comparison of effects<br />
between projects and furthermore it would enable the application<br />
of meta-analysis to uniform projects. The latter<br />
would significantly improve the quality of the evaluations<br />
and the estimates of the effects, making it possible to test<br />
whether or not the effects are significant. Furthermore, it<br />
also makes it possible to test, if the effects of given projects<br />
are homogenous, thus producing knowledge reflecting<br />
if the effects varies with local characteristics, project<br />
details, geography etc.<br />
Consequently, it can be recommended:<br />
1. That an incentive structure for performing evaluations<br />
of effects is implemented, e.g. by demanding that projects<br />
which receive financial support from the government are<br />
implemented, alike test projects requiring dispensation<br />
from current legislation such as allowing right turn for cyclists<br />
in the red-phase at signalized intersections.<br />
2. That a systematic evaluation scheme is implemented<br />
ensuring that meta-analysis can be applied in order to<br />
estimate the likely effects of given treatments, the significance<br />
of effect and the homogeneity of effects.<br />
Consequently, it can be recommended:<br />
1. That an incentive structure for performing evaluations<br />
of effects is implemented, e.g. by demanding that projects<br />
which receive financial support from the government are<br />
implemented, alike test projects requiring dispensation<br />
from current legislation such as allowing right turn for cyclists<br />
in the red-phase at signalized intersections.<br />
2. That a systematic evaluation scheme is implemented<br />
ensuring that meta-analysis can be applied in order to<br />
estimate the likely effects of given treatments, the significance<br />
of effect and the homogeneity of effects.<br />
Dutch References<br />
From the Dutch experience and research a number of<br />
recommendations can be given to other countries.<br />
1. The promotion of bicycle use is only credible and successful<br />
if cycling is a practical, relatively fast and convenient<br />
mode of transport. We recommend the five main<br />
requirements for planning and designing bicycle infrastructure<br />
that are generally adopted by the Dutch professionals:<br />
coherence, directness, attractiveness, safety,<br />
and comfort.<br />
2. Promotion of the bicycle should include improving the<br />
perception of the conditions by (potential) cyclists. Improving<br />
the perception of conditions results in increased<br />
bicycle use beyond the increases associated with improving<br />
the actual conditions.<br />
3. Minimizing travel times between origins and destinations<br />
is important in designing bicycle infrastructure. First,<br />
the detours compared to crow-fly distances should be<br />
small, implying a high density of the cycle network. Second,<br />
the average speed that cyclists can achieve should<br />
be high and delays at traffic lights and other bottlenecks<br />
should be minimized, for instance by bicycle-friendly<br />
phasing of traffic lights and giving right of way to cyclists<br />
at intersections.<br />
4. Urban bicycle routes should preferably be traced<br />
through traffic restrained areas because cyclists prefer<br />
undisturbed and convenient cycling conditions.<br />
5. The Dutch studies give information about when segregation<br />
of cycling facilities is preferable and when not.<br />
There is an ongoing international debate on the usefulness<br />
and need of segregated facilities. It is well known<br />
that a certain type of (often masculine) assertive cyclist<br />
activists, mainly in Anglo Saxon countries, challenge the<br />
need of segregation, often with road safety arguments.<br />
The lessons from the Dutch studies on this point are:<br />
• Generally, segregation is preferred if there are large differences<br />
between the speeds of the different road users<br />
and traffic volumes are fairly high. In particular, off-road<br />
bicycle paths are highly desirable for busy main roads,<br />
both for safety reasons and undisturbed travelling. The<br />
bicycle paths should be comfortable and have sufficient<br />
capacity for uncongested cycling. In urban conditions,<br />
two sided one directional cycle tracks are generally preferred<br />
to one sided two directional tracks. Only when one<br />
sided two directional tracks substantially reduce the need<br />
to cross busy roads, should this be considered the best<br />
solution.<br />
• In the urban context bicycle and motorized modes can<br />
be mixed on condition that traffic volume is not too high<br />
and speeds are harmonized (i.e. car speeds are limited<br />
to the speed of the bicycles). Bicycle streets and shared<br />
space solutions are good examples of mixed facilities that<br />
meet the quality requirements for cycling.<br />
6. A good design of intersections is essential. Intersections<br />
are the most important cause for delays and most<br />
accidents where cyclists are involved happen at intersections.<br />
Specific design elements such as table crossings<br />
are recommended to accommodate safely the right<br />
of way for cyclists. The ramps of these crossings should<br />
be about 5 m from the edge of the cycle track so as to<br />
promote a proper interaction between car drivers and cyclists.
BIKE INFRASTRUCTURES<br />
Edited by VICTOR ANDRADE, HENRIK HARDER, OLE B. JENSEN, JENS MADSEN