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Title: Impact of integrated multimodal traveler information on auto commuter’s mode switching propensity
Authors: Memon, A. A.
Meng, M.
Wong, Yiik Diew
Lam, S. H.
Keywords: Multi-modal Transportation
Integrated Traveler Information
DRNTU::Engineering::Civil engineering
Issue Date: 2017
Source: Memon, A. A., Meng, M., Wong, Y. D., & Lam, S. H. (2017). Impact of integrated multimodal traveler information on auto commuter’s mode switching propensity. The Open Transportation Journal, 11(1), 20-30. doi:10.2174/1874447801711010020
Series/Report no.: The Open Transportation Journal
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.
ISSN: 1874-4478
DOI: 10.2174/1874447801711010020
Rights: © 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: This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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