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

AA Memon, M Meng, YD Wong, SH Lam

Research output: Contribution to journalArticlepeer-review

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
JournalThe Open Transportation Journal
Volume11
Issue number1
DOIs
Publication statusPublished - 28 Feb 2017

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