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Discrete Dynamics in Nature and Society
Volume 2017, Article ID 6237642, 6 pages
Research Article

Ticket Fare Optimization for China’s High-Speed Railway Based on Passenger Choice Behavior

1School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
2University of Tennessee, Knoxville, TN, USA

Correspondence should be addressed to Jinzi Zheng; nc.ude.utjb@41241101

Received 28 October 2016; Accepted 5 February 2017; Published 21 February 2017

Academic Editor: Lu Zhen

Copyright © 2017 Jinzi Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Although China’s high-speed railway (HSR) is maturing after more than ten years of construction and development, the load factor and revenue of HSR could still be improved by optimizing the ticket fare structure. Different from the present unitary and changeless fare structure, this paper explores the application of multigrade fares to China’s HSR. On the premise that only one fare grade can be offered for each origin-destination (O-D) at the same time, this paper addresses the questions of how to adjust ticket price over time to maximize the revenue. First, on the basis of piecewise pricing strategy, a ticket fare optimization model is built, which could be transformed to convex program to be solved. Then, based on the analysis of passenger arrival regularity using historical ticket data of Beijing-Shanghai HSR line, several experiments are performed using the method proposed in the paper to explore the properties of the optimal multigrade fare scheme.