Regret-based modeling of heterogeneous route choice behavior under uncertainty: Results from a context-dependent stated choice experiment

E. Charoniti, S. Rasouli, H.J.P. Timmermans

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

Abstract

New trends in urban systems establish the need for more complicated behavioral models that better describe traveler behavior and investigate unknown mobility patterns. Adding context and accounting for conditions of uncertainty constitute a major challenge in that regard. The current paper contributes to the further development of regret-based behavioral models under uncertainty by modeling context dependency and respondent heterogeneity. Context defined in terms of activity type, number of people involved and the nature of the relationship among the people in the travel party is used to specify class membership as opposed to the common practice of using only social demographic variables. A stated choice experiment of route choice behavior is conducted. The results provide evidence on the existence of heterogeneity in traveler's regret in the context of route choice. Moreover, membership of different classes in part depends on choice context, suggesting that activity patterns should be linked to the investigation of travel choices.

Original languageEnglish
Title of host publicationProceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics
PublisherHong Kong Society for Transportation Studies
Pages397-404
Number of pages8
ISBN (Print)9789881581440
Publication statusPublished - 2015
Event20th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2015) - Hong Kong, Hong Kong
Duration: 12 Dec 201514 Dec 2015
Conference number: 20
http://www.hksts.org/conf15b.htm

Conference

Conference20th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2015)
Abbreviated titleHKSTS 2015
Country/TerritoryHong Kong
CityHong Kong
Period12/12/1514/12/15
Other"Urban Transport Analytics"
Internet address

Keywords

  • Context dependency
  • Heterogeneity
  • Regret
  • Uncertainty

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