[1]赵翔,赵鹏,姚向明,等.高速列车折扣票价与票额分配组合优化模型[J].东南大学学报(自然科学版),2018,48(4):759-765.[doi:10.3969/j.issn.1001-0505.2018.04.024]
　Zhao Xiang,Zhao Peng,Yao Xiangming,et al.An integrated optimization model of discount fare and ticket allocation for high-speed train[J].Journal of Southeast University (Natural Science Edition),2018,48(4):759-765.[doi:10.3969/j.issn.1001-0505.2018.04.024]
点击复制

高速列车折扣票价与票额分配组合优化模型()
分享到：

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
48
期数:
2018年第4期
页码:
759-765
栏目:
交通运输工程
出版日期:
2018-07-20

文章信息/Info

Title:
An integrated optimization model of discount fare and ticket allocation for high-speed train
作者:
赵翔1; 赵鹏1; 姚向明1; 李博1; 2
1北京交通大学交通运输学院, 北京 100044; 2中国铁路总公司科技管理部, 北京 100844
Author(s):
Zhao Xiang1;  Zhao Peng1;  Yao Xiangming1;  Li Bo1; 2
1School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
2Department of Technology Management, China Railway Corporation, Beijing 100844, China
关键词:
高速铁路;  差别定价;  票额分配;  旅客选择行为;  人工蜂群算法;  多列车
Keywords:
high-speed railway;  differential pricing;  ticket allocation;  customer choice behavior;  artificial bee colony algorithm;  multiple trains
分类号:
U293.22
DOI:
10.3969/j.issn.1001-0505.2018.04.024
摘要:
为了提高列车席位能力与客运需求间匹配度,进而提高多列车整体席位利用率并增加铁路客运收益,利用票价和票额综合优化技术研究了高速铁路多列车差别定价方法.考虑不同列车的服务属性差异和差别定价策略对旅客车次选择行为的影响,构建高速铁路多列车间差别定价与票额分配的组合优化模型,并针对模型特点设计一种混合启发式算法进行求解.以京沪高速铁路为对象进行实例分析,结果显示:基于旅客选择行为的差别定价方法使不同列车间的上座率更加均衡并能够提高多列车整体席位利用率;与单一定价策略相比,差别定价方法提高期望收益4.81%.本研究能够为高速铁路差别定价策略制定提供理论和方法支撑,有助于提高运力利用率及运输效益.
Abstract:
To match seat capacity with passenger demand, improve the overall seat utilization of multiple trains and increase railway passenger revenue, the differential pricing strategy of multiple high-speed trains is studied based on the integrated optimization technology of pricing and ticket allocation. Considering the influence of the service attribute differences between different trains and the differential pricing strategy on customer choice behavior, an integrated optimization model of differential pricing and ticket allocation for multiple trains is proposed. And, a hybrid heuristic algorithm to solve the model is developed. A case study of Beijing-Shanghai high-speed railway was carried out. The results show that the differential pricing strategy based on customer choice behavior can make the seat utilization between different trains more balanced and improve the overall seat utilization of multiple trains. Compared withthe single pricing strategy, the differential pricing strategy increases the expected revenue by 4.81%. This work can provide the theoretical and methodological support for the differential pricing strategy and is helpful to improve seat utilization and ticket revenue.

参考文献/References:

[1] 赵翔,赵鹏,李博. 多列车多停站方案条件下高速铁路票额分配研究[J]. 铁道学报,2016,38(11):9-15. DOI:10.3969/j.issn.1001-8360.2016.11.002.
Zhao Xiang, Zhao Peng, Li Bo. Study on high-speed railway ticket allocation under conditions of multiple trains and multiple train stop plans [J]. Journal of the China Railway Society, 2016, 38(11):9-15. DOI:10.3969/j.issn.1001-8360.2016.11.002. (in Chinese)
[2] Ciancimino A, Inzerillo G, Lucidi S, et al. A mathematical programming approach for the solution of the railway yield management problem[J]. Transportation Science, 1999, 33(2): 168-181. DOI:10.1287/trsc.33.2.168.
[3] You P S. An efficient computational approach for railway booking problems[J]. European Journal of Operational Research, 2008, 185(2): 811-824. DOI:10.1016/j.ejor.2006.12.049.
[4] 单杏花,周亮瑾,吕晓艳,等. 铁路旅客列车票额智能预分研究[J]. 中国铁道科学,2011,32(6):125-128.
　　Shan Xinghua, Zhou Liangjin, Lü Xiaoyan, et al. Research on intelligent pre-assignment of ticket allotment for railway passenger train[J]. China Railway Science, 2011,32(6):125-128.(in Chinese)
[5] 钱丙益,帅斌,陈崇双,等. 基于旅客buy-up行为的铁路客运专线收益管理模型[J]. 铁道学报,2013,35(8):10-15. DOI:10.3969/j.issn.1001-8360.2013.08.002.
Qian Bingyi, Shuai Bin, Chen Chongshuang, et al. Revenue management model for dedicated passenger line based on passengers’ buy-up behavior[J]. Journal of the China Railway Society, 2013, 35(8):10-15. DOI:10.3969/j.issn.1001-8360.2013.08.002. (in Chinese)
[6] 包云,刘军,马敏书,等. 高速铁路嵌套式票额分配方法研究[J]. 铁道学报,2014, 36(8):1-6. DOI:10.3969/j.issn.1001-8360.2014.08.001.
Bao Yun, Liu Jun, Ma Minshu, et al. Nested seat inventory control approach for high-speed trains[J]. Journal of the China Railway Society, 2014, 36(8):1-6. DOI:10.3969/j.issn.1001-8360.2014.08.001. (in Chinese)
[7] Bao Y, Liu J, Ma M S, et al. Seat inventory control methods for Chinese passenger railways[J]. Journal of Central South University, 2014, 21(4): 1672-1682. DOI:10.1007/s11771-014-2109-y.
[8] 骆泳吉,刘军,赖晴鹰. 考虑通售席位的旅客列车票额优化方法[J]. 铁道学报,2016,38(5):11-15. DOI:10.3969/j.issn.1001-8360.2016.05.002.
Luo Yongji, Liu Jun, Lai Qingying. Optimization of seat inventory allocation for passenger trains with first-come-first-serve seats [J]. Journal of the China Railway Society, 2016, 38(5):11-15. DOI:10.3969/j.issn.1001-8360.2016.05.002. (in Chinese)
[9] Wang X, Wang H, Zhang X. Stochastic seat allocation models for passenger rail transportation under customer choice[J]. Transportation Research Part E: Logistics and Transportation Review, 2016, 96: 95-112. DOI:10.1016/j.tre.2016.10.003.
[10] 宋文波,赵鹏,李博,等.考虑旅客旅行时间的高速铁路票额分配[J]. 东南大学学报(自然科学版),2017,47(5):1062-1068. DOI:10.3969/j.issn.1001-0505.2017.05.035.
Song Wenbo, Zhao Peng, Li Bo, et al. High-speed railway ticket allocation considering passenger travel time [J]. Journal of Southeast University(Natural Science Edition), 2017, 47(5):1062-1068. DOI:10.3969/j.issn.1001-0505.2017.05.035. (in Chinese)
[11] Li Z C, Sheng D. Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China[J]. Transportation Research Part A: Policy and Practice, 2016, 94: 397-410. DOI:10.1016/j.tra.2016.10.002.
[12] Karaboga D. An idea based on honey bee swarm for numerical optimization, technical report-tr06 [R]. Kayseri, Turkey: Engineering Faculty, Erciyes University, 2005.

相似文献/References:

[1]曾俊铖,张继文,童小东,等.高速铁路CFG桩-筏复合地基沉降试验研究[J].东南大学学报(自然科学版),2010,40(3):570.[doi:10.3969/j.issn.1001-0505.2010.03.026]
　Zeng Juncheng,Zhang Jiwen,Tong Xiaodong,et al.In-situ test on settlement of CFG pile-raft composite foundation in high-speed railway[J].Journal of Southeast University (Natural Science Edition),2010,40(4):570.[doi:10.3969/j.issn.1001-0505.2010.03.026]
[2]孙璐,段雨芬,赵磊,等.高速铁路CRTSⅡ型板式无砟轨道结构动力特性分析[J].东南大学学报(自然科学版),2014,44(2):406.[doi:10.3969/j.issn.1001-0505.2014.02.032]
　Sun Lu,Duan Yufen,Zhao Lei,et al.Dynamic response analysis of CRTSⅡ ballastless track structure of high-speed railway[J].Journal of Southeast University (Natural Science Edition),2014,44(4):406.[doi:10.3969/j.issn.1001-0505.2014.02.032]
[3]宋文波,赵鹏,李博,等.考虑旅客旅行时间的高速铁路票额分配[J].东南大学学报(自然科学版),2017,47(5):1062.[doi:10.3969/j.issn.1001-0505.2017.05.035]
　Song Wenbo,Zhao Peng,Li Bo,et al.High-speed railway ticket allocation considering passenger travel time[J].Journal of Southeast University (Natural Science Edition),2017,47(4):1062.[doi:10.3969/j.issn.1001-0505.2017.05.035]

备注/Memo

备注/Memo:
收稿日期: 2017-12-13.
作者简介: 赵翔(1988—),男,博士生;赵鹏(联系人),男,博士,教授,博士生导师, pzhao@bjtu.edu.cn.
基金项目: 国家自然科学基金资助项目(U1434207)、中国铁路总公司科技研究开发计划资助项目(2015X006-G).
引用本文: 赵翔,赵鹏,姚向明,等.高速列车折扣票价与票额分配组合优化模型[J].东南大学学报(自然科学版),2018,48(4):759-765. DOI:10.3969/j.issn.1001-0505.2018.04.024.
更新日期/Last Update: 2018-07-20