Heterogeneity in Valuation of Travel Time Reliability and In-Vehicle Crowding for Mode Choices in Multimodal Networks
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 10
Abstract
To support scientific planning and management of transportation systems, this paper carries out comprehensive stated preference (SP) surveys to investigate commuters’ mode choice behavior in multimodal networks. Efficient scenarios are designed using the utility-balance principle to incorporate four commonly used commuting modes and four decisive factors influencing mode choices. Random parameter logit (RPL) models are used to estimate commuters’ willingness to pay (WTP) quantitatively and explore preference heterogeneity. In particular, the potential factors yielding heterogeneity in valuation of travel time reliability (TTR) and in-vehicle crowding are identified. The results indicate large heterogeneities in WTP for TTR improvement and in-vehicle crowding reduction. Demographic attributes (age and education), commuting distance, and time schedule variables (flexible work time and departure time constraints) could partially explain travelers’ heterogeneity in WTP for TTR. Age, gender, income, and education levels are identified as having significant influences on WTP for reducing in-vehicle crowding. This study provides useful references for transport demand forecasting and implications for transport policy-making in a multimodal network.
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Acknowledgments
This paper is supported by the National Natural Science Foundation of China (NSFC) (Grant Nos. 51578414 and 71571138), Science and Technology Commission of Shanghai Municipality (STCSM) (Grant No. 17DZ1205302), Fundamental Research Funds for the Central Universities in China, and the Peak Discipline Open Fund of Transportation Engineering of Tongji University (Grant No. 2016J012302). Thanks are given to the referees for their insightful comments and suggestions that have improved the paper.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 144 • Issue 10 • October 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jul 22, 2017
Accepted: May 14, 2018
Published online: Aug 10, 2018
Published in print: Oct 1, 2018
Discussion open until: Jan 10, 2019
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