Ticket allocation for high-speed railway considering discounted ticket sales

被引:3
作者
Yan Z. [1 ,2 ,3 ]
Han B. [1 ]
Zhao Y. [1 ]
Li X. [2 ,3 ]
Jian M. [2 ,3 ]
机构
[1] School of Traffic and Transportation, Beijing Jiaotong University, Beijing
[2] Transportation Institute, Inner Mongolia University, Hohhot
[3] Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, Inner Mongolia University, Hohhot
来源
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2019年 / 49卷 / 02期
关键词
High-speed railway; Passenger choice behavior; Probabilistic nonlinear programming; Reservation control; Ticket allocation;
D O I
10.3969/j.issn.1001-0505.2019.02.028
中图分类号
学科分类号
摘要
To improve the revenue of high-speed railway, the multi-class fare system was formulated by selling discount tickets. Considering the passengers' choice behaviors, the probabilistic nonlinear programming was used to establish a stochastic ticket allocation model for multi-class fare, multi train and multi-stop station network. According to the characteristics of discrete-time demands, this model was transformed into an equivalent linear programming model solved by CPLEX quickly. The numerical experiments with the actual operation data scale were carried out to obtain the optimal ticket allocation scheme and the change law of the expected total revenue with different parameters was analyzed. The results show that the ticket allocation model gives priority to the demands for full-price and long-distance, and the computational complexity can meet the needs of application. The decrease of the intensity of demand can lead the increase of the price elasticity of demand, the sensitivity of differentiated services, and the increment of the expected total revenue of discount sales. Reasonable fare grade can achieve the best expected total revenue. In actual operation, according to the specific market demand characteristics, analysis and tests of this model should be carried out to provide an effective basis for discount sales and ticket allocation. © 2019, Editorial Department of Journal of Southeast University. All right reserved.
引用
收藏
页码:397 / 403
页数:6
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