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Systemic approaches to incident analysis in coal mines: Comparison of the STAMP, FRAM and “2–4” models

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  • Qiao, Wanguan
  • Li, Xinchun
  • Liu, Quanlong

Abstract

Coal mine accidents are often caused by the coupling of multiple factors rather than by a single factor. Therefore, explaining the nonlinear and coupling characteristics in accidents by using traditional accident theory is hard. To cope with the safety challenges caused by the extensive use of digital components and the construction of complex systems, incorporating the idea of system engineering into accident analysis is deemed effective. First, this paper introduces the basic principles and analysis steps of the Systems-Theoretic Accident Model and Processes (STAMP), Functional Resonance Analysis Method (FRAM) and “2–4” models and then applies the three models to the eight coal mine accidents. Finally, the three models are compared based on their characteristics, analysis processes and analysis results. The results show that the accident causes identified by the three methods cover the main causes in the accident investigation report, and new causes were identified. However, the results of the STAMP and FRAM models are more comprehensive and systematic, but the model characteristics and analysis processes are more complex, whereas the results of the “2–4” model analysis are relatively broad, but the analysis process is simple and easy to understand. Therefore, the study suggests that although the choice of accident causing model depends on the user's knowledge level or accident type, the STAMP and FRAM models are more suitable for analyzing a small number of complex coal mine accidents, while the “2–4” model is more advantageous in the analysis of large number of accidents.

Suggested Citation

  • Qiao, Wanguan & Li, Xinchun & Liu, Quanlong, 2019. "Systemic approaches to incident analysis in coal mines: Comparison of the STAMP, FRAM and “2–4” models," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    • Handle: RePEc:eee:jrpoli:v:63:y:2019:i:c:27
    DOI: 10.1016/j.resourpol.2019.101453
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    References listed on IDEAS

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    1. Herrera, I.A. & Woltjer, R., 2010. "Comparing a multi-linear (STEP) and systemic (FRAM) method for accident analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1269-1275.
    2. Bjerga, Torbjørn & Aven, Terje & Zio, Enrico, 2016. "Uncertainty treatment in risk analysis of complex systems: The cases of STAMP and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 203-209.
    3. Liu, Quanlong & Li, Xinchun & Qiao, Wanguan & Meng, Xianfei & Li, Xiangong & Shi, Tian, 2017. "Analysis of embedded non-safety regulation games in China's two types of coal mines through safety performance disparity, 1980–2014," Resources Policy, Elsevier, vol. 51(C), pages 265-271.
    4. Wang, Wensheng & Zhang, Chengyi, 2018. "Evaluation of relative technological innovation capability: Model and case study for China's coal mine," Resources Policy, Elsevier, vol. 58(C), pages 144-149.
    5. 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:

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    4. Wei Jiang & Yun Li & Jiankai Zhou & Zhishun Huang & Zonghao Wu, 2021. "Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

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