Evaluation of passenger's safety in urban rail transit station

doi:10.16265/j.cnki.issn1003-3033.2019.S2.021

Abstract

Abstract: In order to prevent passenger accidents and ensure passenger flow safety, AHP and fuzzy comprehensive evaluation model are used to study passenger flow safety situation.Firstly, frequently occurring passenger safe issues were analyzed, all kinds of influencing factors were summarize, and an index system was constructed. Then AHP was used together with experts consulting to determine index weight, and fuzzy comprehensive evaluation methodwas applied to construct the model, determining the membership function and then getting the final result. Finally, with Guangzhou Railway Station as an example, evaluation results of its passenger safety was obtained analyze andsome suggestion for better safety management was put forward.This results show that this model can provide objective evaluation on passenger safety from perspectives of staff quality, equipment safety, operation environment and emergency rescue, thus helping improving passenger safety management in railway stations.

Key words: railway station, safety status of passengers, index system, fuzzy comprehensive evaluation model, analytic hierarchy process (AHP)

CLC Number:

X913.4

ZHOU Jun. Evaluation of passenger's safety in urban rail transit station[J]. China Safety Science Journal, 2019, 29(S2): 126-133.

References 11

[1]	SILLA A,KALLBERG V P. The development of railway safety in Finland[J].Accid Anal Prev,2012,45(2):737-744.
[2]	SAHIN I. Railway traffic control and train scheduling based oninter-train conflict management[J].Transportation Research Part B Methodological,1999,33(7):511-534.
[3]	甄利贤.大型高速铁路车站客运安全风险分析[D].成都:西南交通大学, 2014.ZHEN Lixian. Analysis of safety risk in largehigh-speed railway station[D].Chengdu:Southwest Jiaotong University,2014.
[4]	吴贤国,吴克宝,沈梅芳,等.基于N-K模型的地铁施工安全风险耦合研究[J].中国安全科学学报,2016,26(4):96-101.WU Xianguo,WU Kebao,SHEN Meifang. Research on coupling of safety risks in metro construction based on N-K model[J]. China Safety Science Journal.2016,26(4):96-101.
[5]	宋雨欣.基于TOPSIS和贝叶斯网络的高速高速铁路客运站安全评价及风险管控研究[D].北京:北京交通大学,2018.SONG Yuxin.Research on safety evaluation and risk control of high-speed railway passenger station based on TOPSIS and Bayesian Network[D].Beijing: Beijing Jiaotong University,2018.
[6]	宋玉佳.浅谈大客流情况下铁路车站旅客乘降安全的问题[J].科技资讯, 2016, 14(19):127-128.
[7]	张瑜.铁路客运站旅客安全预警管理系统研究[D].北京:北京交通大学,2008.ZHANG Yu. Study on the passenger safety Early-Warning management system of railway passenger station[D]. Beijing: Beijing Jiaotong University, 2008.
[8]	王银峰,吴超,黄锐,等. 安全人性学视域下的个体安全行为模型研究[J]. 中国安全科学学报,2018,28(9):5-10.WANG Yinfeng, WU Chao, HUANG Rui, et al.Research on individual safety behavior model from the perspective of safety humanity[J]. China Safety Science Journal,2018,28(9):5-10.
[9]	汪彤. 安全评价在预防突发事故中的作用[J]. 安全, 2003, 24(增1): 21-23.
[10]	梁文娟,王凤英.浅谈安全评价的方法[J].四川兵工学报,2004(5):16-18.
[11]	代利明,陈玉明.几种常用定量风险评价方法的比较[J].安全与环境工程,2006,13(4):96-98.DAI Liming, CHEN Yuming. Comparison on several familiar methods of qantitative risk a.ssessment [J]. Safety and Environmental Engineering, 2006,13(4): 96-98.

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