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Application of AHP and DEMATEL for Identifying Factors Influencing Coal Mine Practitioners’ Unsafe State

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  • Lei Chen

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an 710054, China
    School of Management, Henan Institute of Urban Construction, Pingdingshan 467000, China)

  • Hongxia Li

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an 710054, China
    School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Shuicheng Tian

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an 710054, China)

Abstract

Background: To effectively avoid accidents caused by practitioners’ unsafe state in the process of coal mine production processes, it is necessary to clarify the factors influencing the practitioners’ unsafe state, and take corresponding control measures accordingly. Methods: With the help of literature research and on-site interviews, grounded theory was used to construct the influencing factor index system of the coal mine practitioners’ unsafe state. The index system primary includes indices of four core categories, physiology, psychology, organization, and technology, and secondary indices of fourteen main categories. An AHP-DEMATEL model was constructed to calculate the comprehensive degree of influence of each influencing factor and rank it. Results: The results show that the main factors affecting the coal mine practitioners’ unsafe state are physical quality, degree of fatigue, safety attitude, safety awareness, safety culture, and vigilance. Physical quality and degree of fatigue are the key factors that affect the coal mine practitioners’ unsafe state, which is more consistent with the actual situation of coal mine practitioners. With the findings of this study, coal mine managers can take relevant countermeasures to intervene in coal mine practitioners’ unsafe state and reduce the occurrence of accidents.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14511-:d:963683
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    References listed on IDEAS

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    1. Zhaobo Chen & Gangzhu Qiao & Jianchao Zeng, 2019. "Study on the Relationship between Worker States and Unsafe Behaviours in Coal Mine Accidents Based on a Bayesian Networks Model," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
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    3. Ziwei Fa & Xinchun Li & Quanlong Liu & Zunxiang Qiu & Zhengyuan Zhai, 2021. "Correlation in Causality: A Progressive Study of Hierarchical Relations within Human and Organizational Factors in Coal Mine Accidents," IJERPH, MDPI, vol. 18(9), pages 1-16, May.
    4. Xue Yang & Yang Tian & Kai Feng & Juan Yang & Shu-hui Zhang & Shengnan Wang, 2020. "Signal Game Analysis on the Effectiveness of Coal Mine Safety Supervision Based on the Affective Events Theory," Complexity, Hindawi, vol. 2020, pages 1-9, June.
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    Cited by:

    1. Lin He & Dongliang Yuan & Lianwei Ren & Ming Huang & Wenyu Zhang & Jie Tan, 2023. "Evaluation Model Research of Coal Mine Intelligent Construction Based on FDEMATEL-ANP," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    2. 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.

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