Individuals' Activity-Travel Rescheduling Behaviour

Experiment and Model-Based Analysis

Bibliographic Data

ID4138867
AuthorsE W Linda Nijland (Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands), Theo A Arentze (Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands), Theo Arentze (0000-0003-2551-8650, Eindhoven University of Technology, corresponding author), Aloys W J Borgers (Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands), Aloys Borgers (0000-0002-0340-7629, Eindhoven University of Technology, corresponding author), Harry J P Timmermans, Harry Timmermans (0000-0002-8737-4632, Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands, corresponding author)
Year2009
Volume41
Issue6
Pages1511-1522
Publication date2009-06-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a4134
OpenAlexW2170278085
LanguageEN
Citations received5
References cited16

Rescheduling of daily activities and associated travel in response to unforeseen events such as travel delays is receiving increased attention in the context of traffic management. In this paper we describe the results of a stated adaptation experiment held among a large sample of individuals through a web-based questionnaire, to estimate parameters of such dynamic behaviour. In the experiment subjects indicated their response to a reduction in available time for a planned activity in a number of hypothetical situations. A mixed logit model was used to estimate subjective preferences for adapting in certain ways conditional upon activity attributes and socioeconomic variables. The results indicate that location and transport-mode adaptations are rare compared with duration adjustment or postponing (or cancelling) the activity dependent on the relative size of reduced time. Socioeconomic variables and activity attributes also play a significant role

Econometrics · Geography · Logistic regression · Logit · Socioeconomic status · Statistics · Transport engineering · Travel behavior · Computer Science · Demography · Engineering · Mathematics · Psychology · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban Transport and Accessibility

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