Impact of integrated multimodal traveler information on auto commuter’s mode switching propensity
Memon, A. A.
Wong, Yiik Diew
Lam, S. H.
Date of Issue2017
School of Civil and Environmental Engineering
Centre for Infrastructure Systems
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.
Integrated Traveler Information
The Open Transportation Journal
© 2017 Memon et al. 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.