列车延误背景下高速铁路旅客满意度研究
Study on Passenger Satisfaction in High-speed Railway in the Context of Train Delays
董傲冉 1刘斌 1方晟浩2
作者信息
- 1. 高原铁路运输智慧管控铁路行业重点实验室,甘肃兰州 730070;兰州交通大学交通运输学院,甘肃兰州 730070
- 2. 中国铁道科学研究院集团有限公司 电子计算技术研究所,北京 100081
- 折叠
摘要
为提升延误处置策略的人性化水平,研究高速铁路列车延误情况下的旅客满意度优化问题.首先,以列车到站延误时间为自变量,考虑旅客乘车坐席、旅客出行距离和车厢拥挤程度等影响因素,构建列车延误背景下的旅客满意度变化模型.其次,推导模型的各种数学性质.最后,为验证模型有效性与适用性,选择运行调整问题为研究对象,将所提模型转化为运行调整优化模型的目标函数,设置以济南西—南京南下行区段为背景的多组算例进行实例分析.计算结果表明,旅客满意度变化模型适用于多种延误场景,能够在复杂的线路运营情况下指导列车延误的实时优化,得到旅客满意度变化更小的延误实时处置策略,展示了所提模型的良好性能.
Abstract
To improve the human friendliness of the delay dealing strategy,the optimization of passenger satisfaction in the context of high-speed railway train delay is studied.Firstly,the passenger satisfaction change model in the context of train delay is constructed by taking the train arrival delay time as the independent variable and considering the influencing factors such as passenger seating,passenger travelling distance and carriage crowding.Secondly,various mathematical properties of the model are derived.Finally,to verify the validity and applicability of the model,the operation re-scheduling problem is selected as the research object,and the proposed model is transformed into the objective function of the operation rescheduling optimization model,and multiple sets of examples are set up for instance analysis against a backdrop of Jinan West-Nanjing South downstream section.The calculation results show that the passenger satisfaction change model is applicable to a variety of delay scenarios and can guide the real-time optimization of train delays in complex line operation situations,obtaining a real-time delay dealing strategy with smaller changes in passenger satisfaction,demonstrating the good performance of the proposed model.
关键词
高速铁路/列车延误/旅客满意度/列车运行调整/COPTKey words
high-speed railway/train delay/passenger satisfaction/train operation adjustment/COPT引用本文复制引用
基金项目
国家自然科学基金(72161023)
国家自然科学基金(71761023)
甘肃省科技厅计划项目(22JR5RA379)
甘肃省科技厅计划项目(22JR11RA159)
甘肃省教育厅高等学校科研项目(2022QB-060)
高原铁路运输智慧管控铁路行业重点实验室开放课题(GYYSHZ2302)
出版年
2024
NETL
NSTL
万方数据