D5 Annex report WP 4 - ETIS plus
D5 Annex report WP 4 - ETIS plus
D5 Annex report WP 4 - ETIS plus
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<strong>D5</strong> <strong>Annex</strong> <strong>WP</strong> 4: <strong>ETIS</strong> DATABASE METHODOLOGY AND DATABASE USER<br />
MANUAL – PASSENGER DEMAND<br />
directly measurable and must therefore be approximated by variables like gross domestic<br />
product (GDP) per capita. Finally the formula also contains variables S i that indicate the<br />
accessibility of urban destinations or transport infrastructures:<br />
T = f ( D , E , S )<br />
i , p<br />
i i i<br />
The resulting figure can be understood as an average annual mobility per person, expressed in<br />
journeys starting at the individual’s place of residence/ location of job and returning to this<br />
place. If one sums up the annual mobilities of all persons k living in region A the resulting figure<br />
is equal to the total number of journeys with purpose p originating in region A:<br />
T A, p =<br />
å<br />
k<br />
T k. p<br />
The estimation results showed – as expected significant differences in travel behaviour across<br />
age classes. The business journeys are dominated by midage adults, while for private trips a<br />
mobility ‘peak’ exists for the younger ones. In the latter, the trip rate falls for very young and<br />
elder persons but we found indications that retired individuals tend to have a higher rate than<br />
those below 60/65. The holiday travellers showed not such significant patterns which might be<br />
due to the fact that this kind of journey is something like a ritual for most of us – the annual<br />
holidays are a must. These findings have to be analysed permanently in a more detailed way as<br />
soon as new surveys like DATELINE are available but we are confident that the major impacts<br />
for mobility are covered already in the chosen approach.<br />
4.5.2 The choice of destination<br />
While the first step generates the originating passenger transport flows, the second step spreads<br />
them between the available destinations. The related approach is based on the idea that an<br />
observed sample population indicates the attractiveness of various destinations by its chosen<br />
destinations.<br />
If we observed e.g. k persons travelling from an origin A and we know that n of them travel to<br />
destination B and m to destination C, then the weighted attractiveness of B and C must reflect<br />
the shares n/k and m/k. Formally expressed as:<br />
Share(B/ i A ) = n<br />
k = f (X B<br />
, C AB<br />
)<br />
f (X L<br />
, C AL<br />
)<br />
where Share(B/i A ) is the share of trips destined for a certain place B for an individual i living in<br />
A. This proportion could be expressed by a utility for visiting a certain destination B compared<br />
to the overall sum of all chosen destinations L for a specific sample population of origin A.<br />
The utilities are functions of the attractiveness of the destination under consideration and a<br />
deterrence function expressing the impedances to be surmounted on the way from A to B. The<br />
attractiveness could be identified by the regionspecific indicators as mentioned in the last<br />
section.<br />
å<br />
L<br />
20<br />
Document3<br />
27 May 2004