结构方程建模
潜变量
工程类
隧道施工
运输工程
控制(管理)
施工管理
施工现场安全
土木工程
铁路隧道
风险分析(工程)
计算机科学
业务
结构工程
人工智能
机器学习
作者
Yanqun Yang,Yu Wang,Said M. Easa,Xiaobo Yan
出处
期刊:Heliyon
[Elsevier BV]
日期:2023-01-01
卷期号:9 (1): e12924-e12924
被引量:28
标识
DOI:10.1016/j.heliyon.2023.e12924
摘要
At present, the global tunnel construction industry is developing rapidly, but construction accidents are also common. A large number of casualties and property losses are alarming people. It is urgent to pay attention to the causes of tunnel construction accidents, ensure the safety of construction sites, and reduce tunnel construction accidents. Through literature and case analysis, we have sorted out 35 typical tunnel causative factors for research and analysis, which are divided into 7 types. Based on the variable system, we prepared a measurement questionnaire, and 536 valid questionnaires were collected. The structural equation model (SEM) was used to study the relationship between these variables. The influence mechanism and interaction relationship between the variables are analyzed in depth in terms of influence intensity and path coefficient. The results showed that the following six latent variables significantly influence tunnel construction accidents: human factors, material factors, geological exploration design, technical management, safety management, and natural conditions. Natural conditions have the most significant impact, followed by human factors and safety management. Particular attention should be paid to education, training, and safety management in construction risk control. The structural model and research results are helpful to establish the cause theory of tunnel construction accidents, and guide the formulation of safety management policies for tunnel construction projects, reduce tunnel accidents and ensure construction safety.
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