|本期目录/Table of Contents|

[1]张子龙,张认认,李新宏,等.基于复杂网络的建筑施工安全事故演化与关键路径识别研究*[J].中国安全生产科学技术,2025,21(12):152-158.[doi:10.11731/j.issn.1673-193x.2025.12.019]
　ZHANG Zilong,ZHANG Renren,LI Xinhong,et al.Research on evolution analysis method of construction safety accidents based on complex networks[J].Journal of Safety Science and Technology,2025,21(12):152-158.[doi:10.11731/j.issn.1673-193x.2025.12.019]
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基于复杂网络的建筑施工安全事故演化与关键路径识别研究*

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年12期
页码:
152-158
栏目:
职业安全卫生管理与技术
出版日期:
2025-12-30

文章信息/Info

Title:
Research on evolution analysis method of construction safety accidents based on complex networks
文章编号:
1673-193X(2025)-12-0152-07
作者:
张子龙; 张认认; 李新宏; 李润泉; 钟兴润
(西安建筑科技大学 资源工程学院 陕西 西安 710055)
Author(s):
ZHANG Zilong;  ZHANG Renren;  LI Xinhong;  LI Runquan;  ZHONG Xingrun
(School of Resources Engineering,Xi’an University of Architecture and Technology,Xi’an Shaanxi 710055,China)
关键词:
建筑施工; 事故演化; 最短路径; 复杂网络
Keywords:
building construction;  evolution of safety accidents;  shortest path; complex network
分类号:
X947
DOI:
10.11731/j.issn.1673-193x.2025.12.019
文献标志码:
A
摘要:
为了预防与控制建筑施工安全事故、识别事故演化的关键环节并提升作业安全性，针对施工事故多因素耦合与时序因果复杂性的特点，构建可用于定量分析的事故演化评估框架。基于典型建筑施工事故案例，梳理事故节点及其时序因果逻辑，建立带权有向的事故演化复杂网络。在此基础上，采用最短路径分析评估从初始触发事件到最终后果的演化通道，识别关键节点与关键边并量化其对事故传播与升级的影响。研究结果表明：所建模型能够有效揭示事故节点间的相互作用关系与演化规律，准确识别事故发展的关键节点与最短演化路径。研究结果可为建筑施工安全事故的预防与控制提供决策支持，有助于提高建筑施工作业的本质安全水平。
Abstract:
In order to prevent and control construction safety accidents,identify key links in accident evolution,and improve operational safety,this study develops an accident evolution evaluation framework for quantitative analysis in view of the multifactor coupling of construction accidents and the complex temporal causal relationships.Based on typical construction accident cases,accident nodes and their temporal causal logic are identified and a weighted directed complex network of accident evolution is established.On this basis,shortest path analysis is used to evaluate evolution pathways from initial triggering events to final consequences,identify critical nodes and critical edges,and quantify their effects on accident propagation and escalation.The results show that the proposed model effectively reveals the interaction relationships and evolution patterns among accident nodes and accurately identifies key nodes and the shortest evolution paths of accident development.These findings provide decision support for the prevention and control of construction safety accidents and help improve the inherent safety level of construction operations.

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备注/Memo

备注/Memo:
收稿日期： 2025-10-11
* 基金项目： 陕西省建设厅科技发展计划项目（2020-K32）
作者简介： 张子龙，硕士研究生，主要研究方向为建筑施工安全。
通信作者： 李新宏，博士，教授，主要研究方向为能源管道风险与可靠性工程及智能化风险评估。
更新日期/Last Update: 2026-01-05