Impact of Integrated Multimodal Traveler Information on Auto Commuter’s Mode Switching Propensity
A.A. Memon1, *, M. Meng2, Y.D. Wong3, S.H. Lam4
Identifiers and Pagination:Year: 2017
First Page: 20
Last Page: 30
Publisher Id: TOTJ-11-20
Article History:Received Date: 26/10/2016
Revision Received Date: 23/11/2016
Acceptance Date: 25/01/2017
Electronic publication date: 28/02/2017
Collection year: 2017
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Real-time traveler information affects auto commuter’s travel behavior.
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.
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.