Cross-Nested Joint Model of Travel Mode and Departure Time Choice for Urban Commuting Trips: Case Study in Maryland–Washington, DC Region
Publication: Journal of Urban Planning and Development
Volume 141, Issue 4
Abstract
The aim of this paper is to contribute to describe the simultaneous choice of travel mode and departure time by making use of a cross-nested logit structure that allows for the joint representation of interalternative correlation along the both choice dimensions. Traditional multinomial logit model and nested logit model are formulated respectively. The analysis uses the revealed preference data collected from Maryland-Washington, DC, regional household travel survey during 2007–2008 for commuting trips, considering more work-related characteristics than previous studies. A comparison of the different model results shows that the presented cross-nested logit structure offers significant improvements over multinomial logit and nested logit models. The empirical results of the analysis reveal significant influences on commuter joint choice behavior of travel mode and departure time. Moreover, a Monte Carlo simulation for two groups of scenarios arising from transportation policies, congestion pricing, and improvements to transit service during peak period is undertaken respectively to examine the impact of a change in car travel cost and transit travel time on the travel mode and departure time switching. The simulation results show that US$5 increase in car travel cost during peak period has a similar effect on reducing drive alone in peak hours as 30% saving in transit travel time but only half of the latter policy in the transit ridership increase.
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Acknowledgments
This paper was partly supported by the Shenzhen Science and Technology Development Funding-Fundamental Research Plan (No. JCYJ20120615145601342, JCYJ20130325151523015), Shenzhen Municipal Science and Technology Innovation Council (No. JC201005260122 A), Key Laboratory of Eco Planning and Green Building, Ministry of Education (Tsinghua University, 2013U-6), and National Natural Science Foundation of China (No. 71173061). The writers would like to thank the anonymous referees for their valuable comments.
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Published In
Journal of Urban Planning and Development
Volume 141 • Issue 4 • December 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jun 26, 2013
Accepted: Jun 27, 2014
Published online: Aug 18, 2014
Discussion open until: Jan 18, 2015
Published in print: Dec 1, 2015
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