D5 Annex report WP 4 - ETIS plus

D5 Annex WP 4: ETIS DATABASE METHODOLOGY AND DATABASE USER
MANUAL – PASSENGER DEMAND
3 SETTING THE FRAMEWORK
3.1 Introduction
In this chapter a full description of the key elements of the Work Package data and outcomes are
provided. The emphasis, due to its importance in the overall database, is devoted to the
indication of the scale and time scale dimensions of data collected and method of calculation of
indicators.
3.2 Supporting indicators assigned to WP 4
In Table 3­1 the indicators assigned to WP 4 have been listed. More information on these
indicators is listed in Annex A and B.
Table 3.1
Supporting indicators considered in WP 4 passenger demand.
ref.
Definition
1.1.4 Breakdown of journeys by origin/destination, proportion of long distance traffic using the TEN
2.1.2 Traffic volumes on the Trans­European rail network, by type (passenger / freight), including non fulfilled
demand
3.1.4 Airport to airport traffic
5.1.1 Port throughput (passengers, freight)
3.1.2 Actual air traffic throughput divided by capacity
1.3.1 Estimated / measured energy consumption on roads
2.3.1 Estimated/measured energy consumption on railways
1.3.2 Estimated /measured road transport emissions + corresponding marginal unit cost
2.3.2 Estimated /measured rail transport emissions + corresponding marginal unit cost
3.5.1 Estimated /measured air transport emissions in the vicinity of airports + corresponding marginal unit cost
1.3.3 Noise levels generated by road transport + corresponding marginal unit cost
2.3.3 Noise levels generated by rail transport + corresponding marginal unit cost
3.5.2 Noise levels generated by aircraft in the vicinity of airports + corresponding marginal unit cost
In Annex C for each indicator a template is included in which the method of calculation and
required variables, modelling, model input and other characteristics are described.
3.3 List of variables to be included
In this section the variables are listed that are needed for the calculation of the indicators
described in section 4.2. Furthermore these variables are selected in such a way that the
database will be flexible enough to cover also future changes to the indicators and to make it as
useful as possible for modelling and forecasting.
Document3
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