Abstract
Recent studies on safety in various fields use the concept of safety climate to explain the causes of safety accidents. Many studies attempt to measure the safety climates and identify the causes for accidents in the high-risk construction industry. Studies have shown that the higher the level of the safety climate, the lower the accident rate at construction sites. Methods of measuring safety climate, including the NOSACQ-50 survey, have been presented. Studies on the methodology of measuring safety climate should be continued to improve reliability and precision. Although many studies have been conducted to measure safety climate, such as questionnaires, regression analysis, and suggestions for safety climate measurement methods, there are few studies on a systematic literature review of them. This requires a systematic literature review (SLR) of the studies conducted so far. This study conducted an SLR on the definition and measurement methods of safety climate in the construction industry published since 2000, when safety climate’s impact on accidents began to be established. This review study utilized the PRISMA method, analyzed 735 studies, and selected 57 papers finally. SLR was carried out for selected research works, and the results were summarized. There are three methods to measure safety climate: literature survey, questionnaire, and data analysis. Factor analysis, development of measuring model, development of questionnaire, statistical analysis, and machine learning were investigated as their sub-methods. This study’s results can be used as fundamental sources for improving existing methods and developing new methods of measuring safety climate in the construction industry.
Funder
National Research Foundation of Korea by Ministry of Science, ICT and Future Planning
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Cited by
14 articles.
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