Modeling the impact of travel information on activity-travel rescheduling decisions under multiple uncertain events: distributed myopic decision heuristics

Z. Sun, T.A. Arentze, H.J.P. Timmermans

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Travel information is widely available in different forms through various sources. This wide availability of travel information is believed to influence travellers’ daily activity-travel patterns. To understand and model the impact of travel information on traveller’s decision processes, the authors proposed a Bayesian framework to represent the decision and learning process under conditions of uncertainty, given travel information and nonstationary transportation environments. The value of travel information is conceptualized as the extent to which the information allows an individual to make better decisions by reducing the uncertainty during both the scheduling and rescheduling stages. In this paper, the model is further developed with more realistic features.
Original languageEnglish
Title of host publicationProceedings of CUPUM 05, Computers in Urban Planning and Urban Management, 30-Jun-2005, London
Place of PublicationLondon
PublisherUniversity College London
Pagespaper-87
Publication statusPublished - 2005
Event9th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2005), June 29-July 1, 2005, London, UK - CUPUM 2005, London, United Kingdom
Duration: 29 Jun 20051 Jul 2005

Conference

Conference9th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2005), June 29-July 1, 2005, London, UK
Abbreviated titleCUPUM 2005
Country/TerritoryUnited Kingdom
CityLondon
Period29/06/051/07/05

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