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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

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