Volume 8, Issue 1 (11-2020)                   J Environ Health Eng 2020, 8(1): 63-73 | Back to browse issues page


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Noorisepehr M, Salari M, Darvishmotevalli M, Beheshti A. Evaluation of the Most Important factors Affecting the Safety Performance of Workers in the Construction Industry Using Hierarchical Analysis Method (Case Study in A Combined Cycle Power Plant). J Environ Health Eng 2020; 8 (1) :63-73
URL: http://jehe.abzums.ac.ir/article-1-806-en.html
Department of Health, Safety and Environment (HSE), School of Public Health, Zanjan University of Medical Sciences,
Abstract:   (1565 Views)
      
Background and objectives: Construction is one of the most dangerous industries in the world and one of the authorities’ concerns of officials in this area is to improve their safety. This study was carried out so as to investigate the causes of unsafe behaviors in a combined cycle power plant.
Materials and Methods: In this cross-sectional study, a questionnaire for 300 workers of the combined cycle power plan were used. The obtained information was divided into criteria and sub-criteria affecting the causes of unsafe behaviors. Criteria and sub-criteria were distributed as a pairwise comparison questionnaire among 19 people who worked on the safety and they were supposed to answer based on their experiences as well as the distance scale. Criteria and sub-criteria were ordered by Analytic Hierarchy Process (AHP) and using Expert Choice‌ software.
Results: the results showed that the criterion of individual characteristics (34 %) is the most effective factor for unsafe behaviors and followed by employer (22%), teaching 915%), education (12%), specialization and experience (7.8%), age (7.6%), job characteristics (3%), and weather condition (2%) respectively.
Conclusion: the most important sub-criterion of individual characteristics is a one's susceptibility to accident. Hence, it is necessary to prevent unsafe behaviors by employing vulnerable people in less dangerous occupations.
 
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Type of Study: Research | Subject: Special
Received: 2020/09/1 | Accepted: 2020/12/9 | Published: 2020/12/20

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