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author:

Yang, Y. (Yang, Y..) [1] | Wang, Y. (Wang, Y..) [2] | Easa, S.M. (Easa, S.M..) [3] | Yan, X. (Yan, X..) [4]

Indexed by:

Scopus

Abstract:

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. © 2023 The Authors

Keyword:

Construction safety Risk factors Structural equation model Tunnel construction

Community:

  • [ 1 ] [Yang, Y.]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Yang, Y.]Joint International Research Laboratory on Traffic Psychology and Behaviors, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wang, Y.]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Wang, Y.]Joint International Research Laboratory on Traffic Psychology and Behaviors, Fuzhou University, Fuzhou, China
  • [ 5 ] [Easa, S.M.]Department of Civil Engineering, Toronto Metropolitan University, Toronto, Canada
  • [ 6 ] [Easa, S.M.]Joint International Research Laboratory on Traffic Psychology and Behaviors, Fuzhou University, Fuzhou, China
  • [ 7 ] [Yan, X.]College of Civil Engineering, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Yan, X.]College of Civil Engineering, China

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Source :

Heliyon

ISSN: 2405-8440

Year: 2023

Issue: 1

Volume: 9

3 . 4

JCR@2023

3 . 4 0 0

JCR@2023

ESI HC Threshold:42

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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