Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure

Di Huang, Zhiyuan Liu, Pan Liu and Jun Chen

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 96, issue C, 1-19

Abstract: This paper proposes a new nonlinear distance-based transit fare structure, which is measured by a function of the Euclidean distance between the origin and destination stations, termed as Origin-Destination (OD)-based fare. The novel fare structure encourages passengers to freely choose the most efficient trip plan. An optimization model is formulated based on a three-party game (involving the transport authority, transit company, and passenger) to determine the optimal fare function and frequency. An artificial bee colony algorithm is adopted to solve the model. Finally, a numerical example is provided to verify the proposed method.

Keywords: Transit fare structure; MPEC model; Principal–agent game; Nonlinear fare structure; Path-based stochastic transit assignment (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (21)

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DOI: 10.1016/j.tre.2016.10.004

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