Risk chain analysis of subway fire based on complex network

WU Xianyuan; DING Xiaobing; MOU Qingquan

doi:10.12299/jsues.21-0219

Volume 35 Issue 1

Sep. 2022

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WU Xianyuan, DING Xiaobing, MOU Qingquan. Risk chain analysis of subway fire based on complex network[J]. Journal of Shanghai University of Engineering Science, 2022, 36(1): 77-82. doi: 10.12299/jsues.21-0219

Citation:

WU Xianyuan, DING Xiaobing, MOU Qingquan. Risk chain analysis of subway fire based on complex network[J]. Journal of Shanghai University of Engineering Science, 2022, 36(1): 77-82. doi: 10.12299/jsues.21-0219

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Risk chain analysis of subway fire based on complex network

doi: 10.12299/jsues.21-0219

School of Urban Rail Transpotation, Shanghai University of Engineering Science, Shanghai 201620, China

Received Date: 2021-10-12
Publish Date: 2022-09-26

Abstract

Abstract

The operating space of rail transit system is relatively closed. In order to ensure the safe operation of the subway, it is of great significance to explore the chain effect formed by the mutual transmission of risks. Based on the risk chain theory, the research on the risk factors, pregnancy risk environment, and carrier characteristics of urban rail transit fire events were conducted. The chain transmission effects formed by the mutual transfer of subway fire risks were analyzed. A subway fire risk chain evolution network model was established, four evaluation indicators in the complex network theory including access degree, numbers of subnet nodes, betweenness centrality and tight centrality were adopted, and the importance of fire risk network nodes was comprehensively evaluated. The results show that there is strong transmissibility between model risks, and the open fire in the subway station is the key node for risk control. The research results can provide theoretical support for controlling risk transmission from the perspective of subway fire risk chain, reduce the probability of key risks in the process of fire transmission, and avoid more serious consequences caused by secondary disasters and derivative disasters.
- rail transit,
- fire,
- risk chain,
- complex network,
- risk assessment

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References(17)

References

[1]	朱奥妮. 2000—2019年国内外地铁火灾事故统计分析[J] . 城市轨道交通研究,2020,23(8):148 − 150.
[2]	FRANTZICH H K. Risk analysis and fire safety engineering[J] . Fire Safety Journal,1998,31(4):313 − 329. doi: 10.1016/S0379-7112(98)00021-6
[3]	ROH J S, RYOU H S, PARK W H, et al. CFD simulation and assessment of life safety in a subway train fire[J] . Tunnelling and Underground Space Technology,2009,24(4):447 − 453.
[4]	BENKOUSSAS B, BOUHDJAR A, VAUQUELIN O. Numerical security assessment in case of fire in underground transport spaces[J] . Nature & Technologie,2015,14(12):45 − 59.
[5]	卢亿. 地铁火灾的事故树分析[J] . 城市轨道交通研究,2011,14(2):95 − 97,102. doi: 10.3969/j.issn.1007-869X.2011.02.021
[6]	陈曼英, 高轩能, 刘忠. 地铁车站火灾风险的模糊综合评价[J] . 数学的实践与认识,2011,41(23):72 − 77.
[7]	侯昱晟, 李炎锋, 石勃伟, 等. 地铁换乘车站的火灾风险评估[J] . 消防科学与技术,2014,33(11):1326 − 1329. doi: 10.3969/j.issn.1009-0029.2014.11.029
[8]	刘顶立, 徐志胜, 王飞跃. 基于后果概率估计的地铁集群火灾风险评估[J] . 铁道科学与工程学报,2021,18(3):813 − 820.
[9]	王艳辉, 晋君, 李曼. 基于三角模糊因果图的城市轨道火灾事故分析[J] . 中国安全科学学报,2013,23(11):22 − 26. doi: 10.3969/j.issn.1003-3033.2013.11.004
[10]	李藐, 陈建国, 陈涛, 等. 突发事件的事件链概率模型[J] . 清华大学学报(自然科学版),2010, 50(8):1173 − 1177.
[11]	李继清, 张玉山, 王丽萍, 等. 洪灾综合风险结构与综合评价方法(Ⅰ): 宏观方面[J] . 武汉大学学报(工学版),2005,38(5):19 − 23.
[12]	徐高峰. 韩国大邱地铁火灾的启示[J] . 浙江消防,2003(4):17 − 19.
[13]	袁勇, 邱俊男. 地铁火灾的原因与统计分析[J] . 城市轨道交通研究,2014,17(7):26 − 31.
[14]	王敏, 代宝乾, 张岚, 等. 国内外典型地铁火灾事故案例分析及预防措施[J] . 安全,2015(6):34 − 37. doi: 10.3969/j.issn.1002-3631.2015.06.010
[15]	王林, 张婧婧. 复杂网络的中心化[J] . 复杂系统与复杂性科学,2006,3(1):13 − 20.
[16]	胡一竑. 基于复杂网络的交通网络复杂性研究[D]. 上海: 复旦大学, 2008.
[17]	喻依. 复杂网络节点重要性研究[D]. 广州: 暨南大学, 2015.