TY - JOUR
T1 - Causal analysis of accidents on construction sites
T2 - A hybrid fuzzy Delphi and DEMATEL approach
AU - Mohandes, Saeed Reza
AU - Sadeghi, Haleh
AU - Fazeli, Abdulwahed
AU - Mahdiyar, Amir
AU - Hosseini, M. Reza
AU - Arashpour, Mehrdad
AU - Zayed, Tarek
N1 - Funding Information:
The authors express their appreciation to the experts contributing to the completion of this study.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/7
Y1 - 2022/7
N2 - Though some studies have explored the causes of accidents on construction sites, the interdependency among the underlying causes remains elusive. This undermines the efficacy of any decision made by safety experts in reducing accidents’ impact. To fill this gap, a hybrid fuzzy-based framework is developed in this study to comprehensively identify and prioritize critical causes, as well as map interrelationships among these causes. The proposed framework is based on the infusion of the Pentagonal Fuzzy Delphi Method (PFDM) and Fuzzy DEMATEL techniques. Findings show that six main causes and twenty-three corresponding sub-causes (out of forty-seven identified ones) are the major culprits for the occurrence of related accidents. Furthermore, it was revealed that “organizational” and “workplace and environmental” causes turn out to be the most influential causes, while inappropriate safety guidelines and policies, poor safety management system, poor safety culture, poor safety knowledge of management team, the financial instability of firms, and corruption were the predominant sub-causes affecting the related accidents’ impact. To validate findings, several interviews with senior experts are undertaken. The outcomes of this study are vital for the concerned safety decision-makers by highlighting the influential causes debilitating the safety and health of involved workers.
AB - Though some studies have explored the causes of accidents on construction sites, the interdependency among the underlying causes remains elusive. This undermines the efficacy of any decision made by safety experts in reducing accidents’ impact. To fill this gap, a hybrid fuzzy-based framework is developed in this study to comprehensively identify and prioritize critical causes, as well as map interrelationships among these causes. The proposed framework is based on the infusion of the Pentagonal Fuzzy Delphi Method (PFDM) and Fuzzy DEMATEL techniques. Findings show that six main causes and twenty-three corresponding sub-causes (out of forty-seven identified ones) are the major culprits for the occurrence of related accidents. Furthermore, it was revealed that “organizational” and “workplace and environmental” causes turn out to be the most influential causes, while inappropriate safety guidelines and policies, poor safety management system, poor safety culture, poor safety knowledge of management team, the financial instability of firms, and corruption were the predominant sub-causes affecting the related accidents’ impact. To validate findings, several interviews with senior experts are undertaken. The outcomes of this study are vital for the concerned safety decision-makers by highlighting the influential causes debilitating the safety and health of involved workers.
KW - Accident causation
KW - Data analysis
KW - Fuzzy sets
KW - Hazard
KW - Injury
KW - Multi-criteria decision-making methods (MCDM)
UR - http://www.scopus.com/inward/record.url?scp=85125747006&partnerID=8YFLogxK
U2 - 10.1016/j.ssci.2022.105730
DO - 10.1016/j.ssci.2022.105730
M3 - Journal article
AN - SCOPUS:85125747006
SN - 0925-7535
VL - 151
JO - Safety Science
JF - Safety Science
M1 - 105730
ER -