中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (7): 7-12.doi: 10.16265/j.cnki.issn1003-3033.2020.07.002

• 安全科学理论与安全系统科学 • 上一篇    下一篇

基于复杂网络的生产安全事故致因研究:以北京市某城区为例

陈文瑛 副教授, 李泳暾**, 宋志光   

  1. 首都经济贸易大学 管理工程学院,北京 100070
  • 收稿日期:2020-04-17 修回日期:2020-06-12 出版日期:2020-07-28 发布日期:2021-07-15
  • 通讯作者: ** 李泳暾(1995—),男,山西长治人,硕士研究生,主要研究方向为系统安全性分析与评价。E-mail:1209454942@qq.com。
  • 作者简介:陈文瑛 (1975—),女,内蒙古包头人,博士,副教授,主要从事系统安全性分析与评价、风险管理等方面的研究。E-mail: chenwy@cueb.edu.cn。

Research on causes of work safety accidents based on complex network theory: a case study of a district in Beijing

CHEN Wenying, LI Yongtun, SONG Zhiguang   

  1. School of Management and Engineering, Capital University of Economics and Business, Beijing 100070,China
  • Received:2020-04-17 Revised:2020-06-12 Online:2020-07-28 Published:2021-07-15

摘要: 为揭示生产安全事故发生机制,基于复杂系统的角度,分析生产安全事故致因因素间耦合及风险传导特征,利用复杂网络理论构建北京市某城区生产安全事故致因网络模型;通过计算节点度和模块度等统计指标研究节点的分布特征,识别出网络中的关键因素以及因素间联系密切的社团结构。结果表明:少数关键因素在网络结构中起着重要连通作用,包括未进行安全教育培训、违章作业和施工方案不健全等因素,网络中存在较为明显的社团结构,对关键因素以及高密度的子网络采取针对性的管控措施,阻断风险在网络中的传导,从而有效提高安全管理水平并降低事故发生率。

关键词: 复杂网络, 生产安全事故, 事故致因, 风险传导, 模块度

Abstract: In order to reveal occurrence mechanism of work safety accidents, coupling and risk transmission features of accident causation factors were analyzed from a perspective of complex system. Then, a causation network model in a district of Beijing was constructed by complex network theory. Distribution characteristics of nodes were studied by calculating statistical indexes such as node degree and modularity, and key factors and community structure with close connections among factors in the network were identified. The results show that a few key factors play an important role in network structure, including lack of safety education and training, illegal operation and unsound construction plan, etc, and there exists obvious community structures. Safety management can be improved effectively and accident rate reduced by taking targeted control measures for key factors and high-density sub-networks to obstruct transmission of risks in the network.

Key words: complex network, work safety accident, accident cause, risk transmission, modularity

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