Volume 3, Issue 4 (februry 2020)
ohhp 2020, 3(4): 209-308 |
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gholamnia R, Barzegar M. Determine the relationship between the effective factors in preventing accidents by using structural equation modeling of steel industry. ohhp 2020; 3 (4) :209-308
URL: http://ohhp.ssu.ac.ir/article-1-160-en.html
URL: http://ohhp.ssu.ac.ir/article-1-160-en.html
Abstract: (1879 Views)
Introduction: The purpose of this study was to determine the relationship between six main factors affecting prevention of accidents using structural equations.
Method: Initially, most previous studies were investigated and the most effective factors in preventing accidents and their relationship with each other were determined using the structural equations. Later, a questionnaire was administered to investigate the accident victims of a steel industry in Yazd during five years. In the last stage, the data were examined by Smart-PLS software.
Results: By examining the numerical results, six main factors included about 58% of the share of accident prevention factors. At the 95% confidence level, the impact of safety culture (0.31), rules and instructions (0.29), training (0.28), engineering (0.24), human factors (0.31), as well as capital and equipment (0.38) factors were calculated. Moreover, the remaining 42% included unknown factors in the industry.
Conclusion: We found that economic, safety culture, and human factors had the highest effects.
Method: Initially, most previous studies were investigated and the most effective factors in preventing accidents and their relationship with each other were determined using the structural equations. Later, a questionnaire was administered to investigate the accident victims of a steel industry in Yazd during five years. In the last stage, the data were examined by Smart-PLS software.
Results: By examining the numerical results, six main factors included about 58% of the share of accident prevention factors. At the 95% confidence level, the impact of safety culture (0.31), rules and instructions (0.29), training (0.28), engineering (0.24), human factors (0.31), as well as capital and equipment (0.38) factors were calculated. Moreover, the remaining 42% included unknown factors in the industry.
Conclusion: We found that economic, safety culture, and human factors had the highest effects.
Keywords: Accident prevention, Structural equations, Accident pattern, Steel industry, Safety culture
Type of Study: Research |
Subject:
safty
Received: 2018/10/14 | Accepted: 2019/11/29 | Published: 2020/02/29
Received: 2018/10/14 | Accepted: 2019/11/29 | Published: 2020/02/29
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