中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (3): 142-150.doi: 10.16265/j.cnki.issn1003-3033.2025.03.0717

• 安全工程技术 • 上一篇    下一篇

建筑施工交叉作业事故致因因素聚类及关联分析

刘青锋1(), 胡长明1,2,3, 赵江平1   

  1. 1 西安建筑科技大学 资源工程学院,陕西 西安 710055
    2 西安建筑科技大学 土木工程学院,陕西 西安 710055
    3 延安大学 西安创新学院,陕西 西安 710100
  • 收稿日期:2024-10-14 修回日期:2024-12-18 出版日期:2025-03-28
  • 作者简介:

    刘青锋 (1999—),男,山西临汾人,硕士研究生,主要研究方向为安全应急管理。E-mail:

    胡长明,教授;

    赵江平,副教授

Clustering and correlation analysis of factors causing cross operation accidents in construction

LIU Qingfeng1(), HU Changming1,2,3, ZHAO Jiangping1   

  1. 1 School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    2 School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    3 Xi'an Innovation College,Yan'an University,Xi'an Shaanxi 710100, China
  • Received:2024-10-14 Revised:2024-12-18 Published:2025-03-28

摘要:

为有效预防施工过程交叉作业事故发生,首先,收集2010—2022年全国范围内130份交叉作业事故案例为研究对象,结合扎根理论建立建筑施工交叉作业评价体系;然后,依据指标间的关系运用谱聚类算法分析事故致因组合,并通过主成分分析法和层次分析法对各致因因素进行权重分配,划分不同等级的风险等级;最后,运用Apriori算法获得致因组合内各因素关联链。结果表明:评价体系包括5个核心范畴、13个主范畴和40个范畴;对施工过程交叉作业风险影响最大的核心范畴为技术管理;40个范畴聚类为4类致因组合,其中,1类高风险,1类中风险,2类低风险。此外,针对因素复杂的簇确定关键的致因组合并提出针对性预防措施,以减少交叉作业事故的发生概率。

关键词: 建筑施工, 交叉作业, 事故致因, 致因因素, 谱聚类, 关联规则

Abstract:

In order to effectively prevent cross operation accidents in the construction process, firstly, 130 cross operation accident cases nationwide from 2010 to 2022 were collected as research objects, and an evaluation system for cross operation in construction was established based on the grounded theory. Then, according to the relationship between the indicators, a spectral clustering algorithm was used to analyze the combination of accident causes. The weight of each cause factor was allocated, and different levels of risk were divided by principal component analysis and analytic hierarchy process. Finally, the Apriori algorithm was used to obtain the correlation chain of each factor in the causative combination. The results show that the evaluation system includes 5 core categories, 13 main categories and 40 categories. The core category that has the greatest influence on the risk of cross operation in the construction process is technical management. The 40 categories are grouped into 4 causa l combinations, among which 1 is high risk, 1 is medium risk, and 2 are low risk. In addition, for the complex cluster of factors, the key combination of causes is identified and targeted preventive measures are proposed to reduce the probability of cross-operation accidents.

Key words: construction work, cross operation, accident cause, cause factor, spectral clustering, association rule

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