RESEARCH ARTICLE
Impact of Integrated Multimodal Traveler Information on Auto Commuter’s Mode Switching Propensity
A.A. Memon1, *, M. Meng2, Y.D. Wong3, S.H. Lam4
Article Information
Identifiers and Pagination:
Year: 2017Volume: 11
First Page: 20
Last Page: 30
Publisher ID: TOTJ-11-20
DOI: 10.2174/1874447801711010020
Article History:
Received Date: 26/10/2016Revision 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.
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.