Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5110519 | Transportation Research Part E: Logistics and Transportation Review | 2016 | 19 Pages |
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.
Related Topics
Social Sciences and Humanities
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Authors
Di Huang, Zhiyuan Liu, Pan Liu, Jun Chen,