On Ride-Sharing: A Departure Time Choice Analysis with Latent Carpooling Preference
Publication: Journal of Transportation Engineering
Volume 140, Issue 8
Abstract
This paper presents a departure time choice analysis, based on the notion of a latent carpooling preference. The study is based on combined revealed preference and stated preference survey data collected on the Maryland side of the Capital Beltway (I-495). A conditional logit model is estimated to identify drivers’ choice when tolls and congestion management strategies, including high-occupancy vehicle (HOV) lanes and high-occupancy toll (HOT) lanes, are implemented. Then a latent class model accounting for heterogeneity across groups of drivers is proposed and estimated to examine the difference in behavioral preferences across groups. The latent class model reveals significant heterogeneity in drivers’ latent preference toward ride-sharing, which can potentially support ranges of transportation policy and incentive design related to congestion management strategies such as HOV/HOT lane usage.
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Acknowledgments
This research is partially funded by the U.S. Federal Highway Administration Exploratory Advanced Research Program and the Maryland State Highway Administration. Views and opinions herein do not necessarily represent the views of research sponsors. The authors are responsible for all statements in the paper. The authors would like to thank graduate students in the Transportation Systems Research Lab at University of Maryland for implementing the behavioral survey. The authors would also like to thank Dr. Shanjiang Zhu, Liang Tang, Zheng Zhu, and Nathan Hopper for their valuable suggestions and comments.
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Published In
Journal of Transportation Engineering
Volume 140 • Issue 8 • August 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Nov 16, 2012
Accepted: Mar 17, 2014
Published online: May 6, 2014
Published in print: Aug 1, 2014
Discussion open until: Oct 6, 2014
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