Impact of integrated multimodal traveler information on auto commuter’s mode switching propensity

A. A. Memon*, M. Meng, Y. D. Wong, S. H. Lam

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Aim: Real-time traveler information affects auto commuter’s travel behavior. Method: An ordered probit model is used to analyze auto commuter’s mode switching propensity under influence of simulated real-time multimodal traveler information. A travel preference survey is administered to car drivers to gather individual commuter’s travel decisions under integrated multimodal traveler information. Result: It is shown that integrated multimodal traveler information can influence willingness of car drivers to switch mode of travel, while socio-economic characteristics also influence the mode choice decision.

Original languageEnglish
Pages (from-to)20-30
Number of pages11
JournalOpen Transportation Journal
Volume11
DOIs
Publication statusPublished - Feb 1 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Memon et al.

ASJC Scopus Subject Areas

  • Modelling and Simulation
  • Transportation

Keywords

  • Integrated traveler information
  • Mode switching propensity
  • Multi-modal transportation
  • Preference survey
  • Probit model

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