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Causal Analysis of Safety Risk Perception of Iranian Coal Mining Workers Using Fuzzy Delphi and DEMATEL

Author

Listed:
  • Mitra Hannani

    (Occupational Health and Safety Department, Kashan University of Medical Sciences, Isfahan 73441, Iran)

  • Marc Bascompta

    (Department of Mining, Industrial and ICT Engineering, Polytechnic University of Catalonia, 08034 Barcelona, Spain)

  • Mojtaba Gerami Sabzevar

    (Occupational Health and Safety Department, Kashan University of Medical Sciences, Isfahan 73441, Iran)

  • Hesam Dehghani

    (Department of Mine Engineering, Hamedan University of Technology, Hamedan 65155, Iran)

  • Ali Asghar Khajevandi

    (Occupational Health and Safety Department, Kashan University of Medical Sciences, Isfahan 73441, Iran)

Abstract

Underground coal mines, one of the most dangerous work environments, have experienced accidents and disasters. One of the main reasons for those unsafe events is the workers’ poor understanding of the hazards and risks of working in this work environment. Therefore, the present study aims to identify factors affecting the safety risk perception of underground coal mine workers in Iran and investigate their cause-and-effect relationships. By reviewing the literature, 40 variables were identified in five categories: individual, organizational, environmental, task, and external factors. The identified variables were ranked according to the expert group’s opinion in the form of a fuzzy Delphi study regarding their effects on risk perception. In the next step, 23 variables were selected to investigate the cause-and-effect relationships using the DEMATEL method. The study’s findings showed that organizational factors and some individual factors play a fundamental role in workers’ risk perception. The variables of safety culture, safety management style, and safety attitude had the most significant impact, and the variables of personal protective equipment and risk aversion had the smallest impact on workers’ risk perception. The present study’s findings can be used as a guideline to provide effective solutions for managers and workers in improving safety risk perception, subsequently reducing unsafe behaviors and increasing the safety status of underground coal mines.

Suggested Citation

  • Mitra Hannani & Marc Bascompta & Mojtaba Gerami Sabzevar & Hesam Dehghani & Ali Asghar Khajevandi, 2023. "Causal Analysis of Safety Risk Perception of Iranian Coal Mining Workers Using Fuzzy Delphi and DEMATEL," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14277-:d:1248815
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    References listed on IDEAS

    as
    1. Iraj Mohammadfam & Ali Asghar Khajevandi & Hesam Dehghani & Mohammad Babamiri & Maryam Farhadian, 2022. "Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    2. Fink, A. & Kosecoff, J. & Chassin, M. & Brook, R.H., 1984. "Consensus methods: Characteristics and guidelines for use," American Journal of Public Health, American Public Health Association, vol. 74(9), pages 979-983.
    3. Biaoan Shan & Xiaoju Liu & Anwei Gu & Runxuan Zhao, 2022. "The Effect of Occupational Health Risk Perception on Job Satisfaction," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
    4. Griffith, Candice D. & Mahadevan, Sankaran, 2015. "Human reliability under sleep deprivation: Derivation of performance shaping factor multipliers from empirical data," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 23-34.
    5. Margaret Chan, 2011. "Fatigue: the most critical accident risk in oil and gas construction," Construction Management and Economics, Taylor & Francis Journals, vol. 29(4), pages 341-353.
    6. Lei Chen & Hongxia Li & Shuicheng Tian, 2022. "Application of AHP and DEMATEL for Identifying Factors Influencing Coal Mine Practitioners’ Unsafe State," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    7. Hesam Dehghani & Marc Bascompta & Ali Asghar Khajevandi & Kiana Afshar Farnia, 2023. "A Mimic Model Approach for Impact Assessment of Mining Activities on Sustainable Development Indicators," Sustainability, MDPI, vol. 15(3), pages 1-15, February.
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