Pricing Strategy by Category for Joint Optimization of Pricing and Seat Allocation Problem in High-speed Rail Networks

被引：0
|
作者：
Hu X. [1 ]
Shi F. [1 ]
Qin J. [1 ]
机构：
[1] School of Traffic and Transportation Engineering, Central South University, Changsha
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2022年 / 44卷 / 07期
关键词：
Booking curve; Clustering algorithm; High-speed rail network; Joint optimization; Pricing and seat allocation; Pricing by category;
D O I：
10.3969/j.issn.1001-8360.2022.07.001
中图分类号：
学科分类号：
摘要：
It is a challenge to solve the joint optimization of pricing and seat allocation problem in high-speed rail (HSR) network when the numbers of train services and OD pairs are numerous. Based on the historical booking curve of each train service, this study proposed a clustering method for the trains serving the same OD pair. By introducing a classified pricing strategy where the trains of the same category are allocated the same price, a joint optimization model of classified pricing and seat allocation for HSR networks was established and the solution algorithm was designed. Compared with existing studies, the analysis results of numerical examples consisting of 567 train services in China's HSR network show the joint optimization model of classified pricing and seat allocation can help high-speed railway transportation enterprises improve ticket revenue while saving the calculation and solution time of large-scale problems. © 2022, Department of Journal of the China Railway Society. All right reserved.
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页码：1 / 10
页数：9
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