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Characteristic Analysis of Unsafe Behavior by Coal Miners: Multi-Dimensional Description of the Pan-Scene Data

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Listed:
  • Ruipeng Tong

    (School of Resources & Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Yanwei Zhang

    (School of Resources & Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Pengcheng Cui

    (School of Resources & Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Cunli Zhai

    (School of Resources & Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Meng Shi

    (Sustainable Minerals Institute, University of Queensland, St Lucia, Brisbane, QLD 4072, Australia)

  • Surui Xu

    (School of Safety Engineering, China University of Labor Relations, Beijing 100048, China)

Abstract

As a high-risk occupation, coal mining has many accidents, primarily due to the unsafe behavior of coal miners. Based on the research of analysis of unsafe behavior and pan-scenario data of miners, a theoretical framework for the analysis of unsafe behavior characteristics was proposed in this paper. The collected data were divided into realistic scenes and abstract scenes according to different manifestations; the pan-scene data were described from the eight dimensions of time, behavioral trace, location, behavioral property, behavioral individual, degree, unsafe action, and specialty using a quantitative method for the structure conversion; and the rules were discovered through cluster analysis and association analysis. A total of 225 coal mine gas explosion accidents were used for analysis, and the pan-scene data description and structure conversion of unsafe behavior that caused these accidents were realized. In a certain cluster, the distribution rules of dimensions and the interaction between different dimensions of unsafe behavior were explored after analysis. The results show that the proposed eight dimensions can fully explain the basic characteristics and attributes of the unsafe behavior of coal miners. The structure conversion can reduce the workload of managers and effectively improve the safety data processing capabilities, and the result of data analysis can provide data support and a management basis for safety management. A new method and thought for the data analysis of miners’ unsafe behavior is provided.

Suggested Citation

  • Ruipeng Tong & Yanwei Zhang & Pengcheng Cui & Cunli Zhai & Meng Shi & Surui Xu, 2018. "Characteristic Analysis of Unsafe Behavior by Coal Miners: Multi-Dimensional Description of the Pan-Scene Data," IJERPH, MDPI, vol. 15(8), pages 1-18, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1608-:d:160615
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    References listed on IDEAS

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    1. Henry H. Willis, 2007. "Guiding Resource Allocations Based on Terrorism Risk," Risk Analysis, John Wiley & Sons, vol. 27(3), pages 597-606, June.
    2. Chen, Sen-Sen & Xu, Jin-Hua & Fan, Ying, 2015. "Evaluating the effect of coal mine safety supervision system policy in China's coal mining industry: A two-phase analysis," Resources Policy, Elsevier, vol. 46(P2), pages 12-21.
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    Cited by:

    1. Ruipeng Tong & Yunyun Yang & Xiaofei Ma & Yanwei Zhang & Shian Li & Hongqing Yang, 2019. "Risk Assessment of Miners’ Unsafe Behaviors: A Case Study of Gas Explosion Accidents in Coal Mine, China," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    2. Ruipeng Tong & Yanwei Zhang & Yunyun Yang & Qingli Jia & Xiaofei Ma & Guohua Shao, 2019. "Evaluating Targeted Intervention on Coal Miners’ Unsafe Behavior," IJERPH, MDPI, vol. 16(3), pages 1-16, February.
    3. Shu Zhang & Xinyu Hua & Ganghai Huang & Xiuzhi Shi, 2022. "How Does Leadership in Safety Management Affect Employees’ Safety Performance? A Case Study from Mining Enterprises in China," IJERPH, MDPI, vol. 19(10), pages 1-19, May.

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