Nested Logit Joint Model of Travel Mode and Travel Time Choice for Urban Commuting Trips in Xi'an, China
Publication: Journal of Urban Planning and Development
Volume 146, Issue 2
Abstract
Commuter trips are an important part of urban travel, and studying the influencing factors, changing rules, and choice behaviors of urban commuting trips is of great significance for optimizing the urban trip structure. This paper utilizes a nested logit model to investigate commuters' joint choice behavior of commuting time and mode by considering factors including socioeconomic, household, and trip characteristics. Two possible decision-making model structures are proposed: the commuting time-mode structure (time choice is the upper level) and the commuting mode-time structure (mode choice is the upper level). A model specification is conducted in SPSS based on the data of Xi'an urban commuters, and the commuting time-mode structure is demonstrated as the appropriate one by judging the inclusive value of each nest. It indicates that commuters often choose a commuting mode based on commuting time, and the commuting time-mode model is more suitable for fitting commuters' travel choice. The higher the household income, the greater the probability of commuting by taxi or driving alone. Commuting distance strongly and negatively influences mode choice, including walking, bicycling, bus, and taxi. Civil servants, medical staff, teachers, and technical staff are more sensitive to commuting time than are other commuters. Commuters who usually go to work by driving alone may turn to a bus when a car is not available. Increasing total household bicycle ownership will bring competition between bicycle and bus and enhance commuters' willingness to bike to work, especially when the cycling time is above 30 min.
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Acknowledgments
The contents of this paper reflect the views of the authors, who are responsible for the accuracy of facts and data. In addition, the work is partially supported by the National Key R&D Program of China (Project No. 2018YFB1601300) and the National Natural Science Foundation of China (Project No. 51878062). The contents do not necessarily reflect the official views or policies of any organization, nor do they constitute a standard, specification, or regulation.
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Published In
Journal of Urban Planning and Development
Volume 146 • Issue 2 • June 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Oct 26, 2018
Accepted: Oct 22, 2019
Published online: Apr 13, 2020
Published in print: Jun 1, 2020
Discussion open until: Sep 14, 2020
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