突发公共卫生事件下高速铁路客流分配研究

doi:10.16265/j.cnki.issn 1003-3033.2021.06.020

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (6): 153-160.doi: 10.16265/j.cnki.issn 1003-3033.2021.06.020

突发公共卫生事件下高速铁路客流分配研究

贾飞, 孟学雷教授, 贾宝通, 李涛, 张杨

兰州交通大学交通运输学院,甘肃兰州 730070

收稿日期:2021-03-07 修回日期:2021-05-10 出版日期:2021-06-28 发布日期:2021-12-28
作者简介:贾飞 (1994—),男,甘肃庆阳人,硕士研究生,研究方向为交通运输组织理论与方法。E-mail:1243027054@qq.com。
基金资助:
国家自然科学基金资助(1861022);浙江省城市轨道交通智能运维技术与装备重点实验室开放课题(ZSDRTKF2020005);兰州交通大学优秀百人计划项目(1520220210)。

Research on passenger flow assignment for high-speed railwayunder public health emergencies

JIA Fei, MENG Xuelei, JIA Baotong, LI Tao, ZHANG Yang

School of Traffic and Transportation, Lanzhou Jiaotong Unirersity, Gansu Lanzhou 730070, China

Received:2021-03-07 Revised:2021-05-10 Online:2021-06-28 Published:2021-12-28

摘要/Abstract

摘要： 为合理分配突发公共卫生事件下高速铁路的客流,结合高速铁路物理网络及开行方案,构造高速铁路列车服务网络,将旅客出行的广义费用分为时间成本、票价支出和拥挤成本,从而确定高速铁路旅客出行广义费用计算方法,并将其作为出行阻抗;以旅客广义出行费用最小为目标建立客流分配模型,基于相继平均法(MSA)的改进算法求解该模型;利用Matlab编程,以武汉地区发生突发公共卫生事件为例,验证模型与算法的合理性。研究结果表明:突发公共卫生事件条件下高速铁路部分列车上座率较高或较小,可采用增开、减少列车的开行次数和调整列车的停站方案,使列车的上座率更合理。

关键词: 突发公共卫生事件, 高速铁路, 客流分配, 时间成本, 票价支出, 拥挤成本

Abstract: In order to reasonably allocate passenger flow for high-speed railway under public health emergencies, a train service network was constructed considering physical network and operation plan of high-speed railways. Generalized expenses of passenger travel were divided into time cost, fare expenditure and congestion cost before its calculation method was determined, and it was defined as travel resistance. Then, a passenger flow distribution model was established with minimizing generalized travel cost as its goal, and was solved by an improved algorithm based on method of successive averages(MSA). Finally, Matlab programming was utilized to verify rationality of the model and algorithm with incidents in Wuhan as an example. The results show that occupancy rate of some high-speed railway trains is extremely high or large under conditions of public health emergencies, and it can be made more reasonable by increasing or reducing number of trains and adjusting stations' stop plan.

Key words: public health emergency, high-speed railway, passenger flow assignment, time cost, fare expenditure, congestion cost

中图分类号:

X951

贾飞, 孟学雷, 贾宝通, 李涛, 张杨. 突发公共卫生事件下高速铁路客流分配研究[J]. 中国安全科学学报, 2021, 31(6): 153-160.

JIA Fei, MENG Xuelei, JIA Baotong, LI Tao, ZHANG Yang. Research on passenger flow assignment for high-speed railwayunder public health emergencies[J]. China Safety Science Journal, 2021, 31(6): 153-160.

参考文献

[1] FRIEDRICH M, SCHLEUPEN G, MOLTENBREY M, et al. A parallel Implementation of a schedule-based transit assignment algorithm for large networks[C]. ASIM 2005-18^th Symposium on Simulation Technique, 2005: 110-115.
[2] BELLEI G, GENTILE G, MESCHINI L,et al. A demand model with departure time choice for withinday dynamic traffic assignment[J]. European Journal of Operational Research, 2006, 175(3): 1 557-1 576.
[3] PAPOLA N,FILIPPI F,GENTILE G,et al. Schedule- based transit assignment: a new dynamic equilibrium model with vehicle capacity constraints[J]. Operations Research, 2009, 46(10): 1-26.
[4] POULHЀS A,PIVANO C,LEURENT F. Hybrid modeling of passenger and vehicle traffic along a transit line: a sub-model ready for inclusion in a model of traffic assignment to a capacitated transit network[J]. Transportation Research Procedia, 2017, 27: 164-171.
[5] TENG Jing,LIU Wangrui. Development of a behavior-based passenger flow assignment model for urban rail transit in section interruption circumstance[J]. Urban Rail Transit, 2015, 1(1): 35-46.
[6] SI Bingfeng,FU Liping,LIU Jianfeng,et al. A multi-class transit assignment model for estimating transit passenger flows:a case study of Beijing subway network[J]. Journal of Advanced Transportation, 2016, 50(1): 50-68.
[7] 谢安娜,尹盼盼,王志远. 基于SEM的铁路客运安全影响因素分析[J]. 中国安全科学学报, 2019,29(增2): 30-34.
XIE Anna, YIN Panpan, WANG Zhiyuan. Influence factor analysis of railway passenger transportation safety based on SEM [J]. China Safety Science Journal, 2019,29(S2): 30-34.
[8] 尹冰艳,刘卫红. 我国高速铁路应急救援机制的完善[J]. 中国安全科学学报, 2018,28(增2): 180-184.
YIN Bingyan, LIU Weihong. Perfection of mechanism of China's high-speed railway emergency rescue[J]. China Safety Science Journal, 2018,28(S2): 180-184.
[9] 佟璐,聂磊,郭忠. 列车时空服务网络客流分配方法研究[J]. 交通运输系统工程与信息, 2014(5):140-146,153.
TONG Lu, NIE Lei, GUO Zhong. Passenger flow assignment method based on time and space service network of train [J]. Journal of Transportation Systems Engineering and Information Technology, 2014(5):140-146,153.
[10] 朱宇婷,毛保华,李明高,等.考虑列车容量的轨道交通客流分配模型[J].交通运输系统工程与信息, 2013,13(6): 134-139.
ZHU Yuting, MAO Baohua, LI Minggao, et al. Railway assignment model with vehicle capacity constraints [J]. Journal of Transportation Systems Engineering and Information Technology, 2013,13(6): 134-139.
[11] 聂磊,胡小风,佟璐,等. 基于旅客列车开行方案的客流分配方法研究[J]. 交通运输系统工程与信息, 2011, 11(3): 87-92.
NIE Lei, HU Xiaofeng, TONG Lu, et al. Research of passenger flow assignment based on passenger train plan [J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(3): 87-92.
[12] 曾鸣凯,黄鉴,彭其渊. 客运专线旅客列车开行方案的客流分配方法[J]. 西南交通大学学报, 2006,41(5): 571-574.
ZENG Mingkai, HUANG Jian, PENG Qiyuan. Research on assignment of passenger train plan for dedicated passenger traffic lines [J]. Journal of Southwest Jiaotong University, 2006, 41(5): 571-574.
[13] 朱法勇,王正彬. 客运专线客流多路径分配模型与算法[J]. 交通运输工程与信息学报, 2016,14(1):76-80,86.
ZHU Fayong,WANG Zhengbin. Multiple route assignment modle and algorithm of the passenger flow distribution on passenger dedicated line [J]. Journal of Transportation Engineering and Information, 2016,14(1):76-80,86.
[14] 翁湦元,单杏花. 基于出行时段的高速铁路列车配流方法[J]. 铁道运输与经济, 2016,38(9): 6-14.
WENG Shengyuan, SHAN Xinghua. High-speed train traffic assignment method based on trip time slot [J]. Railway Transport and Economy, 2016,38(9): 6-14.
[15] 赵烁,史峰,胡心磊,等.考虑售票策略的高速铁路客流分配方法[J]. 铁道学报, 2018,40(9): 12-21.
ZHAO Shuo, SHI Feng, HU Xinlei, et al. Passenger flow assignment method for high-speed railway based on ticket strategies [J]. Journal of the China Railway Society, 2018,40(9): 12-21.

突发公共卫生事件下高速铁路客流分配研究

Research on passenger flow assignment for high-speed railwayunder public health emergencies

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	王晟旻, 宋英华, 刘丹, 陈洪州, 方俊. 基于社会燃烧理论的突发公共卫生事件网络情绪传播模型[J]. 中国安全科学学报, 2021, 31(2): 16-23.
[2]	戢晓峰, 吴亚欣, 毛润彩, 张琪. 突发公共卫生事件下公交暴露风险辨识方法:以深圳应对新型冠状病毒肺炎为例[J]. 中国安全科学学报, 2021, 31(2): 89-98.
[3]	董皓, 崔有泉, 孙丽君. 高速铁路安全环境治理分析[J]. 中国安全科学学报, 2020, 30(S1): 32-37.
[4]	章超荣. 高速铁路沿线无人机安全管理立法探讨[J]. 中国安全科学学报, 2020, 30(S1): 38-42.
[5]	龙时丹. 面向高速铁路的全自动运行系统应用[J]. 中国安全科学学报, 2020, 30(S1): 92-97.
[6]	杨晓丽, 刘向东. 高速铁路工程竣工验收存在的问题与探讨[J]. 中国安全科学学报, 2020, 30(S1): 146-151.
[7]	魏圆圆, 左忠义, 程伟, 孟子悦. F-ANP法在高速铁路风险评估中的应用[J]. 中国安全科学学报, 2020, 30(S1): 165-171.
[8]	钟庆伟, 张永祥, 文超, 彭其渊, 王锰锰. 高速铁路网络动车组运用优化分解算法^*[J]. 中国安全科学学报, 2019, 29(S2): 10-17.
[9]	汤轶雄, 徐传玲, 文超, 李忠灿, 宋邵杰. 高铁故障晚点时间预测的支持向量回归模型^*[J]. 中国安全科学学报, 2019, 29(S2): 18-23.
[10]	李力, 闫迪, 田锐, 王全泉. 基于晚点恢复的高速铁路行车调度质量评价^*[J]. 中国安全科学学报, 2019, 29(S2): 118-125.
[11]	宋雨欣. GUI下的高速铁路客运站安全评价系统^*[J]. 中国安全科学学报, 2019, 29(S2): 134-137.
[12]	李程睿, 赵明, 尹盼盼, 刘美池, 马乐陶. 高速铁路客运站安全评价^*[J]. 中国安全科学学报, 2019, 29(S2): 149-153.
[13]	胡瑞, 徐传玲, 冯永泰, 文超, 王全泉. 广深高速铁路列车分类型晚点预测^*[J]. 中国安全科学学报, 2019, 29(S2): 181-186.
[14]	黄平, 文超, 李忠灿, 杨宇翔, 彭其渊. 高速铁路列车晚点时间实时预测的神经网络模型^*[J]. 中国安全科学学报, 2019, 29(S1): 20-26.
[15]	王江丽, 王俊, 蒋帅. 高速铁路安全防护系统设计研究^*[J]. 中国安全科学学报, 2019, 29(S1): 58-62.