Discrete choice modeling of combined mode and departure time

Shamas Bajwa, Shlomo Bekhor, Masao Kuwahara, Edward Chung

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Typical daily decision-making process of individuals regarding use of transport system involves mainly three types of decisions: mode choice, departure time choice and route choice. This paper focuses on the mode and departure time choice processes and studies different model specifications for a combined mode and departure time choice model. The paper compares different sets of explanatory variables as well as different model structures to capture the correlation among alternatives and taste variations among the commuters. The main hypothesis tested in this paper is that departure time alternatives are also correlated by the amount of delay. Correlation among different alternatives is confirmed by analyzing different nesting structures as well as error component formulations. Random coefficient logit models confirm the presence of the random taste heterogeneity across commuters. Mixed nested logit models are estimated to jointly account for the random taste heterogeneity and the correlation among different alternatives. Results indicate that accounting for the random taste heterogeneity as well as inter-alternative correlation improves the model performance.

Original languageEnglish
Pages (from-to)155-177
Number of pages23
JournalTransportmetrica
Volume4
Issue number2
DOIs
Publication statusPublished - 2008 Jan 1
Externally publishedYes

Keywords

  • Cross-nested logit
  • Departure time choice
  • Error component logit
  • Mixed logit
  • Mode choice
  • Nested logit
  • Value of schedule delay
  • Value of time

ASJC Scopus subject areas

  • Transportation
  • Engineering(all)

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