Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Mode Choice Behavior Analysis under the Impact of Transfer Fare Discount: A Case Study from Beijing Public Transit System

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

This paper focuses on establishing a nested logit (NL) model to analyze the relationship between transfer fare discount and mode choice behavior of urban residents based on a questionnaire survey. Influencing factors on mode choice of urban residents are analyzed from different perspectives. Revealed preference (RP) and stated preference (SP) survey questionnaires are designed to collect the mode choice behavioral data. The influences of transit transfer fare discount between transit modes, and transfer fare discount between car and subway (park and ride discount, i.e., P&R discount) have been analyzed based on a proposed nested logit model. The results show that mode share for transit increases with the implementation of the transfer fare discount. When the transfer fare discount increases from 0 to 40%, the share of mode transferred between bus and subway increases by 8.8%, representing the most attractive policy for commuters among all fare discount options.

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REFERENCES

Davis, J. M., Gallego, G., & Topaloglu, H. (2014). “Assortment optimization under variants of the nested logit model.” Operations Research, 62(2), 250-273.
Liu, L. (2010). “Research on selection of exchanging mode in integrated transit hub by different cost.” Urban Roads Bridges & Flood Control, 4, 150-153.
Liu, B., Ge, Y., Cao, K. (2016). “Optimizing fares and transfer pricing discounts for a subway and bus corridor considering difference.” Journal of Transportation Systems Engineering and Information Technology, 16(3), 113-119.
Yang, N., Huang, L., and Zhang, W. (2009). “Transfer preferential benefit of public transport based on generalized cost.” Journal of Transport Information and Safety, 3, 20-23.
Volinski, J. (2012). “Implementation and outcomes of fare-free transit systems.” Transportation Research Board, 101, Washington, D. C.
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Xianyu, J. Juan, Z, & Zhu, T. (2013). “Selection of commute trip timing and mode.” Journal of Shanghai Jiao Tong University, 47(10), 1601-1605.

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Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 290 - 299
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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Authors

Affiliations

Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing; Xuchang Univ., Xuchang, Henan Province, P.R. China. E-mail: [email protected]
Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing, P.R. China. E-mail: [email protected]
Xi’an Operational Branch, Xi’an Metro Company Limited, Xi’an, China. E-mail: [email protected]

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