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

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  • Jinzi Zheng
  • Jun Liu
  • David B. Clarke

Abstract

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.

Suggested Citation

  • Jinzi Zheng & Jun Liu & David B. Clarke, 2017. "Ticket Fare Optimization for China’s High-Speed Railway Based on Passenger Choice Behavior," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-6, February.
    • Handle: RePEc:hin:jnddns:6237642
    DOI: 10.1155/2017/6237642
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    Cited by:

    1. Yu Wang & Xinghua Shan & Hongye Wang & Junfeng Zhang & Xiaoyan Lv & Jinfei Wu, 2022. "Ticket Allocation Optimization of Fuxing Train Based on Overcrowding Control: An Empirical Study from China," Sustainability, MDPI, vol. 14(12), pages 1-12, June.

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