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Identification of critical causes of construction accidents in China using a hybrid HFACS-CN model.
Wang, Xiaolong; Hu, Xiang Yang; Wang, Lulu; Dong, Bingyu; Tong, Ruipeng.
Afiliação
  • Wang X; School of Emergency Management and Safety Engineering, China University of Mining and Technology - Beijing, Beijing, China.
  • Hu XY; School of Emergency Management and Safety Engineering, China University of Mining and Technology - Beijing, Beijing, China.
  • Wang L; School of Emergency Management and Safety Engineering, China University of Mining and Technology - Beijing, Beijing, China.
  • Dong B; School of Emergency Management and Safety Engineering, China University of Mining and Technology - Beijing, Beijing, China.
  • Tong R; School of Emergency Management and Safety Engineering, China University of Mining and Technology - Beijing, Beijing, China.
Int J Occup Saf Ergon ; 30(2): 378-389, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38243386
ABSTRACT
Construction safety is of significance since construction accidents can result in loss of property and large numbers of casualties. This research aims to identify the critical causes of construction accidents by introducing a hybrid approach. The hybrid approach is developed to identify the critical causes of construction accidents by combining the human factors analysis and classification system (HFACS) model with complex network (CN) theory. A total of 863 construction accident cases were collected, and 46 causal factors were identified. Subsequently, the accident causal network was established, and six critical causal factors were extracted. The hybrid analysis approach is demonstrated with a real construction accident case, and the results demonstrate that the hybrid approach could better identify the critical causal factors. Consequently, this research enables the enhancement of understanding the HFACS framework and CN theory, as well as a contribution to safety management in the construction industry at different levels.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article