Yahya Khosravi1, Hassan Asilian-Mahabadi2, Ebrahim Hajizadeh3, Narmin Hassanzadeh-Rangi4, Hamid Bastani5, Ali Khavanin1, Seyed Bagher Mortazavi1. 1. Department of Occupational Health, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. 2. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. asilia_h@modares.ac.ir. 3. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. 4. Occupational Health Research Center (OHRC), Iran University of Medical Sciences, Tehran, Iran. 5. Health, Safety and Environment Management, MAPNA Group Co., Tehran, Iran.
Abstract
BACKGROUND: There can be little doubt that the construction is the most hazardous industry in the worldwide. This study was designed to modeling the factors affecting unsafe behavior from the perspective of safety supervisors. METHODS: The qualitative research was conducted to extract a conceptual model. A structural model was then developed based on a questionnaire survey (n=266) by two stage Structural Equation Model (SEM) approach. RESULTS: An excellent confirmed 12-factors structure explained about 62% of variances unsafe behavior in the construction industry. A good fit structural model indicated that safety climate factors were positively correlated with safety individual factors (P<0.001) and workplace safety condition (P<0.001). The workplace safety condition was found to play a strong mediating role in linking the safety climate and construction workers' engagement in safe or unsafe behavior. CONCLUSIONS: In order to improve construction safety performance, more focus on the workplace condition is required.
BACKGROUND: There can be little doubt that the construction is the most hazardous industry in the worldwide. This study was designed to modeling the factors affecting unsafe behavior from the perspective of safety supervisors. METHODS: The qualitative research was conducted to extract a conceptual model. A structural model was then developed based on a questionnaire survey (n=266) by two stage Structural Equation Model (SEM) approach. RESULTS: An excellent confirmed 12-factors structure explained about 62% of variances unsafe behavior in the construction industry. A good fit structural model indicated that safety climate factors were positively correlated with safety individual factors (P<0.001) and workplace safety condition (P<0.001). The workplace safety condition was found to play a strong mediating role in linking the safety climate and construction workers' engagement in safe or unsafe behavior. CONCLUSIONS: In order to improve construction safety performance, more focus on the workplace condition is required.
Keywords:
Construction industry; Structural Equation Modeling; Unsafe behavior