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基于SNA的重特大道路交通事故风险指标体系构建
引用本文:宋英华,田丽,吕伟,霍非舟.基于SNA的重特大道路交通事故风险指标体系构建[J].中国安全生产科学技术,2019,15(6):151-156.
作者姓名:宋英华  田丽  吕伟  霍非舟
作者单位:(1.武汉理工大学 中国应急管理研究中心,湖北 武汉 430070;2.武汉理工大学 安全科学与应急管理学院,湖北 武汉 430070)
基金项目:* 基金项目: 国家重点研发计划项目(2016YFC0802500);国家自然科学基金项目(51604204);中国博士后科学基金项目(2018M632937);中央高校基本科研业务费专项资金项目(2017IVB040,2018VI070,2018VI080)
摘    要:为加强对重特大道路交通事故的控制和预防,从95份重特大道路交通事故调查报告中提取相关数据,运用社会网络分析(SNA)构建重特大道路交通事故原因间的关系网络。通过社会网络相关指标,找到导致事故的关键原因,以及哪些原因组合导致事故的能力最强,得到重特大道路交通事故原因特征。建立重特大道路交通事故风险指标体系,并通过实例分析验证指标体系的合理性。研究结果可以进一步加深对重特大道路交通事故原因以及彼此间相互作用关系的认识,风险指标体系的建立可为重特大道路交通事故的预防预警工作提供参考。

关 键 词:重特大道路交通事故  原因  社会网络分析  风险指标体系

Establishment of risk index system for major road traffic accidents based on SNA
SONG Yinghua,' target="_blank" rel="external">,TIAN Li,' target="_blank" rel="external">,LYU Wei,' target="_blank" rel="external">,HUO Feizhou,' target="_blank" rel="external">.Establishment of risk index system for major road traffic accidents based on SNA[J].Journal of Safety Science and Technology,2019,15(6):151-156.
Authors:SONG Yinghua  " target="_blank">' target="_blank" rel="external">  TIAN Li  " target="_blank">' target="_blank" rel="external">  LYU Wei  " target="_blank">' target="_blank" rel="external">  HUO Feizhou  " target="_blank">' target="_blank" rel="external">
Institution:(1.China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China;2.School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China)
Abstract:In order to strengthen the prevention and control of major road traffic accidents, the relevant data were extracted from 95 investigation reports of major road traffic accidents, and the relationship network map among the causes of major road traffic accidents was constructed by using the social network analysis (SNA). By analyzing the relevant indexes of social network, the key causes of the accidents and the causes combination with the strongest ability causing the accidents were found out, then the characteristics of causes of major road traffic accidents were obtained. A risk index system of major road traffic accidents was established, and its rationality was verified through the case analysis. The results can further deepen the understanding on the causes of major road traffic accidents and the interaction relationship among them. The establishment of risk index system can provide reference for the prevention and early warning of major road traffic accidents.
Keywords:major road traffic accidents  causes  social network analysis (SNA)  risk index system
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