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Jun 29, 2016
An Optimization Decision Model of Urban Public Transit Fare Structures
Authors: Di Huang [email protected], Zhiyuan Liu, Ph.D. [email protected], and Dongsheng Hua, M.S. [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
This paper investigates and compares several transit fare structures including flat fare, station-based, and mileage-based fare. For each fare structure, there exists an optimal fare pattern inducing to the highest total social benefit and total net profit. A bi-level model is then proposed to determine the optimal fare pattern. The upper-level problem intends to address the maximization of total social benefit from the perspective of transportation authority and the maximization of profit of transit authority, whereas the lower-level problem is a path-based stochastic transit assignment problem with elastic demand. A modified genetic algorithm is adopted to solve the bi-level model. A numerical example of a 9-node transit network is provided to illustrate that differentiated fare structures and have a better financial performance than flat fare.
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© 2016 American Society of Civil Engineers.
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Published online: Jun 29, 2016
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Ph.D. Candidate, Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Nanjing, Jiangsu 210096, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Nanjing, Jiangsu 210096, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Nanjing, Jiangsu 210096, China. E-mail: [email protected]
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