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

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

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...

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Bibliographic Details
Main Authors: Memon, A. A., Meng, M., Wong, Yiik Diew, Lam, S. H.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Multi-modal Transportation
Integrated Traveler Information
DRNTU::Engineering::Civil engineering
Online Access:https://hdl.handle.net/10356/88718
http://hdl.handle.net/10220/45871
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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