Improving Safety Performance of Construction Workers through Learning from Incidents.

Chan, Albert P C; Guan, Junfeng; Choi, Tracy N Y; Yang, Yang; Wu, Guangdong; Lam, Edmond

Chan, Albert P C; Guan, Junfeng; Choi, Tracy N Y; Yang, Yang; Wu, Guangdong; Lam, Edmond.

Afiliação

Chan APC; Shenzhen Research Institute of the Hong Kong Polytechnic University, Shenzhen 518057, China.
Guan J; Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China.
Choi TNY; Shenzhen Research Institute of the Hong Kong Polytechnic University, Shenzhen 518057, China.
Yang Y; Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China.
Wu G; Shenzhen Research Institute of the Hong Kong Polytechnic University, Shenzhen 518057, China.
Lam E; Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China.

Int J Environ Res Public Health ; 20(5)2023 03 04.

Article em En | MEDLINE | ID: mdl-36901580

Assuntos

Indústria da Construção; Saúde Ocupacional; Humanos; Teorema de Bayes; China; Causalidade; Inquéritos e Questionários; Gestão da Segurança

Palavras-chave

Bayesian network; construction industry; learning from incidents; safety learning; safety performance

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Indústria da Construção / Saúde Ocupacional Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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