中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (2): 16-22.doi: 10.16265/j.cnki.issn1003-3033.2023.02.2664

• 安全社会科学与安全管理 • 上一篇    下一篇

房屋建筑施工事故致因因素分类研究

成连华1(), 曹东强1, 李欣2   

  1. 1 西安科技大学 安全科学与工程学院,陕西 西安 710054
    2 中国二十冶集团有限公司,上海 201999
  • 收稿日期:2022-09-24 修回日期:2022-12-02 出版日期:2023-02-28 发布日期:2023-08-28
  • 作者简介:

    成连华 (1977—),男,山东莘县人,博士,教授,主要从事安全管理与安全系统工程领域的教学与科研工作。E-mail:

    李欣,高级工程师

Research on cause factors classification of housing construction accidents

CHENG Lianhua1(), CAO Dongqiang1, LI Xin2   

  1. 1 College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
    2 China MCC20 Group Corp. Ltd., Shanghai 201999, China
  • Received:2022-09-24 Revised:2022-12-02 Online:2023-02-28 Published:2023-08-28

摘要:

为明确房屋建筑施工事故致因及其关联关系,针对房屋建筑施工过程中关键致因因素及其传播路径的有效识别问题,基于2015—2020年发生的394起房屋建筑施工事故案例,结合危险有害因素分类标准,将语义相近的风险用语归为一类,进行致因因素的提取、分类及编码;针对每一起事故建立致因因素传播路径,应用Gephi软件绘制出由95个节点、340条连边构成的房屋建筑施工事故致因网络模型;通过计算节点度值和权重系数等拓扑参数,分析致因网络拓扑特征,综合考虑节点总度值分类赋值及严重程度,利用ABC分类法提出致因因素重要性计算方法。研究结果表明:致因因素清单中包含28项关键致因因素、27项次要致因因素、31项一般致因因素;进一步分析得到24个关联性强的节点对、5条高频致因因素传播路径以及5类典型事故的致因因素分布状况。

关键词: 房屋建筑施工, 事故致因因素, 传播路径, 复杂网络, ABC分类法

Abstract:

In order to clarify causes of housing construction accidents and their correlations, and to effectively identify the key causal factors and their propagation paths in the process of housing construction, this study collected 394 cases of housing construction accidents between 2015 to 2020. According to the classification standard of dangerous and harmful factors, the risk terms with similar semantics were classified into one category, and the cause factors were extracted, classified and coded. A cause transmission path was established for each incident. The housing construction accident cause network model composed of 95 nodes and 340 links was constructed by using Gephi software. Next, the topological characteristics of the cause network were analyzed by calculating topological parameters such as node degree and weight coefficient. Considering the classification assignment and severity of total degree value of nodes, the ABC classification method was used to propose the calculation method of the importance of cause factors. The results show that the list of causal factors includes 28 key factors, 27 important factors and 31 general factors. Further analysis obtains 24 node pairs with strong correlation, 5 high-frequency cause factor propagation paths and distribution of causal factors of 5 typical accidents.

Key words: housing construction, accident cause factor, propagation path, complex network, activity based classification classification