Reference : Analyzing Access, Egress, and Main Transport Mode of Public Transit Journeys: Evidenc...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Civil engineering
Business & economic sciences : Special economic topics (health, labor, transportation…)
http://hdl.handle.net/2268/177716
Analyzing Access, Egress, and Main Transport Mode of Public Transit Journeys: Evidence from the Flemish National Household Travel Survey
English
Creemers, Lieve []
Bellemans, Tom []
Janssens, Davy []
Wets, Geert []
Cools, Mario mailto [Université de Liège - ULiège > Département Argenco : Secteur A&U > Transports et mobilité >]
2015
Proceedings of the 94th Annual Meeting of the Transportation Research Board
Transportation Research Board of the National Academies
Yes
No
International
Washington
DC
94th Annual Meeting of the Transportation Research Board
from 11-01-2015 to 15-01-2015
Transportation Research Board of the National Academies
Washington
DC
[en] public transport ; multimodality ; MNL-model ; access and egress trips ; mode choice
[en] The primary objective of this paper is to explore the influence of socio-demographic and contextual variables on the multimodal character of public transit journeys. Accounting for multimodality in public transit journeys is important from a demand modeling point of view, especially in the assessment of new projected public transit infrastructure. To meet the objective, data from the national household travel survey of Flanders (Belgium) is analyzed. Based on 2,202 public transit journeys, the main public transit mode choice (bus/tram/metro or train) and access/egress mode choice are simultaneously estimated using a multinomial logit model, and by explicitly making a distinction between unimodal and multimodal transit journeys. The results indicate that various socio-demographical (e.g. age, gender, level of education, household income) and contextual factors (e.g. journey distance, journey motive, urbanization degree, car availability) significantly influence the joint decision process. Total journey distance and car availability are identified as the most important explanatory variables. In terms of model performance, the model appears to yield satisfactory predictions, justifying the integration of the model in more general demand modeling frameworks.
LEMA - Local Environment Management and Analysis ; Lepur : Centre de Recherche sur la Ville, le Territoire et le Milieu rural
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/177716

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