Intercity Train Time-sharing Pricing Based on Cumulative Prospect Theory

被引：0
|
作者：
Yang Y. [1 ]
Zhang X.-Q. [1 ,2 ,3 ]
Xu X.-H. [1 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] National Engineering Laboratory of Application Technology of Integrated Transportation Big Data, Southwest Jiaotong University, Chengdu
[3] National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2022年 / 22卷 / 04期
关键词：
cumulative prospect theory; market segmentation; railway transportation; sensitivity analysis; time-sharing pricing;
D O I：
10.16097/j.cnki.1009-6744.2022.04.003
中图分类号：
学科分类号：
摘要：
Intercity passenger flow is characterized by an uneven temporal distribution, which leads to insufficient capacity during peak periods and a low seating rate during non-peak periods. To balance the passenger flow and improve the income of the intercity high-speed railway, differential pricing in the passenger corridor is set in different periods. In this paper, the limited rational choice behavior of passengers is considered, and the cumulative prospect value is used to describe the travel utility value of passengers to parallel trains. Considering the difference and bounded rationality of passengers' choice behavior, the latent class analysis is used for passenger classification. By selecting two influencing factors of fare and period value, a product utility model is established for parallel passenger trains with double reference points, and the travel utility is described using the cumulative prospect value of heterogeneous passengers on parallel trains. Based on the cumulative prospect value, a time-sharing pricing bi-level programming model with the maximum profit of railway enterprises. and the minimum generalized travel cost of passengers is constructed. A heuristic algorithm based on sensitivity analysis is designed to solve the model. Finally, the Nanning-Beihai railway is taken as an example to analyze the peak and non-peak hours. The results show that the proposed time-sharing pricing method can increase revenue by about 2.5%, which makes the passenger flow distributed more evenly. © 2022 Science Press. All rights reserved.
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页码：23 / 29
页数：6
相关论文
共 13 条
  • [1] ZHAO X, ZHAO P, LI B, Et al., Study on high-speed railway ticket allocation under competition among multiple modes of transportation, Journal of the China Railway Society, 40, 5, pp. 20-25, (2018)
  • [2] ZHAO P, LI Y F, LI B., Study on the train choice behavior for high-speed railway passengers considering the departure time preference, Journal of Beijing Jiaotong University, 196, 6, pp. 49-54, (2017)
  • [3] ZHAO P, SONG W B, LI L., Differential pricing for high-speed railway considering passenger travel choice, Journal of the China Railway Society, 281, 3, pp. 18-24, (2021)
  • [4] CAI J M, OU Y S., Dynamic differential pricing of high-speed railway parallel trains considering revenue management, Journal of Transportation Systems Engineering and Information Technology, 20, 5, pp. 1-8, (2020)
  • [5] TVERSKY A., Elimination by aspects: A theory of choice, Psychological Review, 79, 4, pp. 281-299, (1972)
  • [6] JING Y, LIU Y K, GUO S Z., Research on dynamic joint pricing strategy for high-speed railway based on passenger selection behavior, Journal of the China Railway Society, 41, 9, pp. 28-33, (2019)
  • [7] TVERSKY A, KAHNEMAN D., Advances in prospect theory: Cumulative representation of uncertainty, Journal of Risk and Uncertainty, 5, 4, pp. 297-323, (1992)
  • [8] JIANG W H, LI Y L., Pricing strategy of parallel trains of high-speed railway based on passenger choice behavior, Journal of Transportation Systems Engineering and Information Technology, 18, 6, pp. 1-7, (2018)
  • [9] LI B, ZHAO P, LI Y F, Et al., Research on dynamic pricing of parallel trains of high-speed railway based on passenger segment, Journal of the China Railway Society, 239, 9, pp. 10-16, (2017)
  • [10] JING Y, SUN J Z, ZHANG Z H., Research on time differential pricing strategy of intercity railway base on generalized cost function, Journal of the China Railway Society, 5, 5, pp. 29-36, (2020)
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