城市轨道交通系统脆弱性因素辨识模型研究

交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (5): 110-118.

城市轨道交通系统脆弱性因素辨识模型研究

袁朋伟，宋守信^*，董晓庆，林晓飞

北京交通大学经济管理学院，北京100044

收稿日期:2014-01-10 修回日期:2014-03-18 出版日期:2014-10-25 发布日期:2014-12-17
作者简介:袁朋伟（1984-），男，山东东营人，博士生.
基金资助:
中央高校基本业务费项目（2014YJS043）；国家社科基金重点项目（13AZD088）

Vulnerability Identification Model of Urban Rail Transit System

YUAN Peng-wei，SONG Shou-xin，DONG Xiao-qing，Lin Xiao-fei

School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China

Received:2014-01-10 Revised:2014-03-18 Online:2014-10-25 Published:2014-12-17

摘要/Abstract

摘要：

为构建城市轨道交通系统脆弱性因素辨识模型，本研究整合DEMATEL、ISM、 ANP 三种系统分析方法对城市轨道交通系统脆弱性进行分析研究.通过分析城市轨道交通系统的典型事故，从系统的角度出发，提取通用典型脆弱性因素；使用DEMATELISM- ANP 方法构建城市轨道交通系统脆弱性辨识模型，整合脆弱性因素的特征与脆弱性因素间的相互影响方向与强度大小，因素的层级结构与因素的相对重要性，确定城市轨道交通系统脆弱性的递阶层次网络结构模型；根据递阶层次网络结构模型的分析结果，将城市轨道交通系统的脆弱性因素分成驱动、链接、依赖、独立四类脆弱性因素.研究结果表明，该模型切实可行，能够对城市轨道交通系统脆弱性进行量化分析.

关键词: 城市交通, 脆弱性辨识模型, DEMATEL-ISM-ANP 集成方法, 城市轨道交通

Abstract:

There are many vulnerability factors that can make urban rail transit system unsafe and endanger its operation. With the purpose of developing an identification model of vulnerability factors for urban rail transit system, the combined method is proposed which integrates three kinds of method including the DEMATEL, the ISM and the ANP. In the view of the system, the vulnerability factors of urban rail transit system are extracted according to the analysis of typical accident. The hierarchical network structure model of vulnerability is developed using the integrated DEMATEL-ISM-ANP method which took into account a variety of factors, including the mutual influence direction and intensity of the factors, structure of the factors, and the relative importance degree of the factors. According to the analysis about the results of hierarchical network structure model, the vulnerability factors of urban rail transit system are divided into four types: driver, linkage, dependent, autonomous. It is found that the model of integrating the DEMATEL, the ISM and the ANP is appropriate for quantitatively analyzing the vulnerability factors of urban rail transit system.

Key words: urban traffic, identification mode of vulnerability, integrated DEMATEL- ISM-ANP method, urban rail transit system

中图分类号:

U298.5

袁朋伟，宋守信，董晓庆，林晓飞. 城市轨道交通系统脆弱性因素辨识模型研究[J]. 交通运输系统工程与信息, 2014, 14(5): 110-118.

YUAN Peng-wei，SONG Shou-xin，DONG Xiao-qing，Lin Xiao-fei. Vulnerability Identification Model of Urban Rail Transit System[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(5): 110-118.

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http://www.tseit.org.cn/CN/Y2014/V14/I5/110

参考文献

[1] 王志强, 徐瑞华. 基于复杂网络的轨道交通路网可靠性仿真分析[J]. 系统仿真学报, 2009,21(20): 6670- 6674.[WANG Z Q, XU R H． Reliability simulation analysis of urban rail transit networks based on complex network[J]. Journal of System Simulation, 2009, 21(20): 6670-6674.]

[2] 代宝乾, 汪彤, 丁辉, 等. 地铁运营系统危险有害因素辨识分析[J]. 中国安全科学学报, 2005, 15(10): 80-83. [DAI B Q, WANG T, DING H, et al. Recognition and analysis of risky hazardous factors in subway operation system[J]. China Safety Science Journal, 2005,15(10): 80-83.]
[3] Lu Y, Li Q, Xiao W. Case- based reasoning for automated safety risk analysis on subway operation:Case representation and retrieval[J]. Safety Science,2013, 57(8): 75-81.
[4] 叶青. 基于复杂网络理论的轨道交通网络脆弱性分析[J]. 中国安全科学学报, 2012, 22(2): 122-126. [YE Q. Vulnerability analysis of rail transit based on complex network theory[J]. China Safety Science Journal, 2012,22( 2): 122-126.]
[5] Adger W N. Vulnerability[J]. Global Environmental Change, 2006, 16(3), 268-281.
[6] 袁朋伟,宋守信,潘显钟,等.气候变化条件下城市脆弱性建模与仿真[J].城市发展研究.2014,21(01),54-60.[YUAN P W，SONG S X，PAN X Z，et al. A study on the climate change vulnerability of urban area[J]. Urban Development Studies, 2014,21(01)：54-60 .]
[7] Fouad A A, Zhou Q, Vittal V. System vulnerability as a concept to assess power system dynamic security[J].Power Systems, IEEE Transactions on, 1994, 9(2):1009-1015.
[8] 交通运输部道路运输司. 国内外城市轨道交通事故案例评析[M]. 北京:人民交通出版社, 2011. [China's Ministry of Transport Road Transport Department.Urban rail traffic accident case of domestic and overseas[M]. Beijing: China Communications Press, 2011.]
[9] Shieh J I, Wu H H, Huang K K. A DEMATEL method in identifying key success factors of hospital service quality[J]. Knowledge-Based Systems, 2010, 23(3): 277-282.
[10] Mandal A, Deshmukh S G. Vendor selection using interpretive structural modeling (ISM) [J]. International Journal of Operations & Production Management, 1994,14(6): 52-59.
[11] Zhou D Q, Zhang L, Li H W. A study of the system's hierarchical structure through integration of DEMATEL and ISM[C]. Machine Learning and Cybernetics, 2006 International Conference on. IEEE, 2006: 1449-1453.
[12] Saaty T L. The analytic network process: decision making with dependence and feedback[M]. Pittsburgh:RWS Publication, 2001.
[13] Wu W W. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach[J].Expert Systems with Applications, 2008, 35(3): 828-835.
[14] Tamura H, Akazawa K. Structural modeling and systems analysis of uneasy factors for realizing safe, secure and reliable society[J]. Journal of Telecommunications and Information Technology, 2005(3): 64-72.
[15] Thakkar J, Kanda A, Deshmukh S G. Interpretive structural modeling (ISM) of IT- enablers for Indian manufacturing SMEs[J]. Information Management &Computer Security, 2008, 16(2): 113-136.