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From correlation to causality: Path analysis of accident-causing factors in coal mines from the perspective of human, machinery, environment and management

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  • Fa, Ziwei
  • Li, Xinchun
  • Qiu, Zunxiang
  • Liu, Quanlong
  • Zhai, Zhengyuan

Abstract

Coal mine industry is one of the typical high-risk industries with frequent accidents and numerous incentives. In order to expose the accident-causing factors in the process of coal mine production and explore their internal causal relationship, this paper took 883 coal mine accident reports in China from 2011 to 2020 as the original data. Firstly, driven by data, with the help of text mining technique and Apriori algorithm, a modified Human Factors Analysis and Classification System (HFACS) for coal mines was established and the strong association rules among the contributing factors were extracted. Then, the related hypotheses were put forward according to the frequent patterns within the elements. Finally, under the guidance of the theory-driven approach, hierarchical structure relationships in HFACS-CM framework were identified and analyzed from the perspective of human, machinery, environment and management. The results indicated that machinery and equipment factors, physical environment factors, and unsafe preconditions could directly affect employees' unsafe behaviors, while outside influences, organizational influences and unsafe supervision and could only exert influences on unsafe acts through other intermediary variables. Moreover, the unsafe preconditions had the greatest direct effect on unsafe acts; as for indirect effect and overall effect, the unsafe supervision was the most impactful factor.

Suggested Citation

  • Fa, Ziwei & Li, Xinchun & Qiu, Zunxiang & Liu, Quanlong & Zhai, Zhengyuan, 2021. "From correlation to causality: Path analysis of accident-causing factors in coal mines from the perspective of human, machinery, environment and management," Resources Policy, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001719
    DOI: 10.1016/j.resourpol.2021.102157
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    References listed on IDEAS

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    1. Kyebambe, Moses Ntanda & Cheng, Ge & Huang, Yunqing & He, Chunhui & Zhang, Zhenyu, 2017. "Forecasting emerging technologies: A supervised learning approach through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 236-244.
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    Cited by:

    1. Li Yang & Xue Wang & Junqi Zhu & Liyan Sun & Zhiyuan Qin, 2022. "Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD," IJERPH, MDPI, vol. 19(17), pages 1-29, August.
    2. Gu, Shuang & Li, Keping & Feng, Tao & Yan, Dongyang & Liu, Yanyan, 2022. "The prediction of potential risk path in railway traffic events," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    3. Xinchun Li & Xiaolin Zhang & Quanlong Liu & Yueqian Zhang & Xiao Gu & Zunxiang Qiu, 2022. "Research on Coal Mine Building Compliance Inspection System Based on Accident Causation and BIM in China," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    4. Olga A. Chernova, 2022. "Stressful Factors of Sustainable Development of the Russian Coal Industry," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 21(1), pages 49-78.
    5. Lixia Niu & Xiaotong Li & Xiaomeng Li & Jie Liu, 2022. "The Effects of Job Demands and Job Resources on Miners’ Unsafe Behavior—The Mediating and Moderating Role of a Sense of Calling," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    6. Kun Xu & Shuang Li & Jiao Liu & Cheng Lu & Guangzhe Xue & Zhengquan Xu & Chao He, 2022. "Evaluation Cloud Model of Spontaneous Combustion Fire Risk in Coal Mines by Fusing Interval Gray Number and DEMATEL," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    7. Yuxin, Wang & Gui, Fu & Qian, Lyu & Jingru, Wu & Yali, Wu & Meng, Han & Yuxuan, Lu & Xuecai, Xie, 2024. "Accident case-driven study on the causal modeling and prevention strategies of coal-mine gas-explosion accidents: A systematic analysis of coal-mine accidents in China," Resources Policy, Elsevier, vol. 88(C).

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