|本期目录/Table of Contents|

[1]陈文瑛,杨金谕,何世伟.地铁运营突发事故风险传播规律研究[J].中国安全生产科学技术,2018,14(7):86-91.[doi:10.11731/j.issn.1673-193x.2018.07.013]
 CHEN Wenying,YANG Jinyu,HE Shiwei.Research on risk propagation laws of subway operation sudden accident[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(7):86-91.[doi:10.11731/j.issn.1673-193x.2018.07.013]
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地铁运营突发事故风险传播规律研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年7期
页码:
86-91
栏目:
职业安全卫生管理与技术
出版日期:
2018-07-31

文章信息/Info

Title:
Research on risk propagation laws of subway operation sudden accident
文章编号:
1673-193X(2018)-07-0086-06
作者:
陈文瑛12杨金谕1何世伟3
(1.首都经济贸易大学 安全与环境工程学院,北京 100071;2.城市群系统演化与可持续发展的决策模拟研究北京市重点实验室,北京 100071;3. 北京交通大学 交通运输学院,北京 100044)
Author(s):
CHEN Wenying12 YANG Jinyu1 HE Shiwei3
(1. School of Safety and Environmental Engineering, Capital University of Economics and Business, Beijing 100071, China;2. Beijing Key Laboratory of Megaregions Sustainable Development Simulation, Beijing 100071, China;3. School of Transportation, Beijing Jiaotong University, Beijing 100044, China)
关键词:
突发事故地铁运营风险传播延误时间拥挤度
Keywords:
sudden accident subway operation risk propagation delay time congestion degree
分类号:
X928
DOI:
10.11731/j.issn.1673-193x.2018.07.013
文献标志码:
A
摘要:
为了研究运营过程中突发事故风险在地铁路网中的传播规律,通过分析、推演突发事故风险沿单线路及换乘站的传播路径,建立了地铁运营突发事故风险传播模型。应用模型进行实例计算和讨论,研究结果表明:对于单线路运营,突发事故造成的停车数量增长速度会随着线路占用率的增大而加快,事故持续时间与停运列车数量呈正相关线性关系,列车追踪时间与停运列车数量呈逆相关线性关系;对于换乘站,突发事故会造成换乘线路列车在换乘站平均延误11.7 s,换乘站站台拥挤度随事故时间的延续而持续增大。
Abstract:
In order to study the propagation laws of risk of sudden accident in the subway network during the operation process, a risk propagation model of subway operation sudden accident was established through analyzing and deducing the propagation paths of risk of sudden accident along single line and transfer station, and the case calculation and discussion were carried out by applying the model. The results showed that for the operation of single line, the increase speed of the number of stopped trains caused by the sudden accident would accelerate with the increase of the line occupancy rate, and there was a positive linear relationship between the accident duration time and the number of stopped trains, whereas an inverse linear relationship between the tracking time of trains and the number of stopped trains. For the transfer station, the trains of transfer line had an average delay time of 11.7 seconds in the transfer station caused by the sudden accident, and the congestion degree on the platform of the transfer station would increase continuously with the continuation of accident time.

参考文献/References:

[1]SUN D, ZHAO Y, LU Q C. Vulnerability analysis of urban rail transit networks: A case study of shanghai, China[J]. Sustainability, 2015, 7(6): 6919-6936.
[2]WANG Y, YANG C. Evolution characteristics analysis of urban rail transit network in shanghai[C]// International Conference on Transportation Engineering. 2007.
[3]MAIN H. Mathematics for reliability analysis[M]. New York: Asakurashoten,1982.
[4]BELL M GH .Transportation network analysis [M]. New York: John Wiley & Sons, 1997.
[5]谭跃进,吴俊,邓宏钟,等.复杂网络抗毁性研究综述[J].系统工程, 2006, 24(10):1-5.TAN Yuejin, WU Jun, DENG Hongzhong,et al. Invulnerability of complex networks a survey [J]. Systems Engineering, 2006, 24(10): 1-5.
[6]邓旭东,王雪,徐文平,等.城市地铁网络脆弱性对比分析[J].中国安全科学学报, 2017, 27(3):152-156.DENG Xudong, WANG Xue, XU Wenping, et al. Comparative analysis of vulnerability of urban metro network[J]. China Safety Science Journal, 2017, 27(3) :152-156.
[7]许葭,宋守信,翟怀远,等.基于脆弱性的地铁网络事故蔓延模型构建研究[J].中国安全生产科学技术, 2017, 13(3):96-101.XU Jia, SONG Shouxin, ZHAI Huaiyuan, et al. Study on construction of accident spread model for subway network based on vulnerability[J]. Journal of Safety Science and Technology, 2017, 13(3):96-101.
[8]李冰玉,秦孝敏.城市轨道交通网络大客流拥堵传播机理研究[J].中国安全科学学报, 2016, 26(1): 162-168.LI Bingyu, QIN Xiaomin. Study on propagation mechanism of mass passenger flow congestion in urban rail transit network[J]. China Safety Science Journal, 2016, 26(1): 162-168.
[9]朱自刚,张知青,徐瑞华.列车运行延误条件下的城市轨道交通客流研究[J].城市轨道交通研究, 2006, 9(12):81-84.ZHU Zigang, ZHANG Zhiqing, XU Ruihua. Research on urban rail transit passenger flow under delay of train operation[J]. Urban Rail Transit Study, 2006, 9(12):81-84.
[10]彭其渊,段力伟,文超,等.突发大客流对轨道交通换乘站服务水平和列车运行影响分析[J]. 城市轨道交通研究, 2014, 17(2):46-49.PENG Qiyuan, DUAN Liwei, WEN Chao, et al. Analysis of impact of large burst flow on service level and train operation of rail transit interchange stations[J]. Urban Rail Transit Study, 2014, 17(2):46-49.
[11]李凌燕.城市轨道交通网络突发大客流传播机理及组织优化[D].成都:西南交通大学, 2015.
[12]牛龙飞.城市轨道交通大客流的网络传播特性及运输组织协调研究[D].成都:西南交通大学, 2013.
[13]李朴.城市轨道交通运营网络客流分布特性及客流拥堵传播规律研究[D].北京:北京交通大学, 2012.
[14]ALEX L. Methods to estimate railway capacity and passenger delays [D]. Lyngby: Technical University of Denmark Department of Transport, 2008.
[15]李清泉,李秋萍,方志祥,等.一种基于时空拥挤度的应急疏散路径优化方法[J].测绘学报, 2011, 40(4):517-523.LI Qingquan, LI Qiuping, FANG Zhixiang,et al. An emergency evacuation routing optimization method based on space-time congestion concept[J]. Journal of Surveying and Mapping, 2011, 40(4):517-523.

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备注/Memo

备注/Memo:
北京市教育委员会科技计划面上项目(KM201510038001);首都经济贸易大学研究生科技创新项目
更新日期/Last Update: 2018-08-09