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Research on risk analysis and prevention policy of coal mine workers' group behavior based on evolutionary game

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  • You, Qi
  • Yu, Kai
  • Zhou, Lujie
  • Zhang, Jing
  • Lv, Maoyun
  • Wang, Jiansheng

Abstract

The analysis and prevention of behavior risk is one of the important measures to reduce accidents. This research adopts the game method to study group safety behavior, and applies the research to behavioral risk prevention in the daily safety management of coal mining enterprises. First, the influencing factors and quantitative relationship of group behavior were determined through investigation. Then, the dynamic game matrix was constructed, and the dynamic game evolution model of "formal group--informal group" was established. The evolution law of group safety behavior was discussed and analyzed from 3 aspects, i.e., management decision, environment, and manager. Finally, the research was applied to coal mine enterprises, and its effectiveness was verified by summarizing and analyzing the behavior violation data for 2 years. It was found that under the influence of management decisions, the level of safe behavior increased by 21.875% in formal groups, and increased by 21.467% in informal groups. In addition, under the influence of the group environment, the level of safe behavior decreased by 79.875% and 86.667% in formal groups and informal groups, respectively. The research explains the dynamic evolution law of coal mine workers and provides a theoretical basis and reference for the management and control of coal mine workers' unsafe behavior.

Suggested Citation

  • You, Qi & Yu, Kai & Zhou, Lujie & Zhang, Jing & Lv, Maoyun & Wang, Jiansheng, 2023. "Research on risk analysis and prevention policy of coal mine workers' group behavior based on evolutionary game," Resources Policy, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s030142072200705x
    DOI: 10.1016/j.resourpol.2022.103262
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    References listed on IDEAS

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    1. Jifeng Lu & Weihua Liu & Kai Yu & Lujie Zhou, 2022. "The Dynamic Evolution Law of Coal Mine Workers’ Behavior Risk Based on Game Theory," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
    2. Kai Yu & Lujie Zhou & Pingping Liu & Jing Chen & Dejun Miao & Jiansheng Wang, 2022. "Research on a Risk Early Warning Mathematical Model Based on Data Mining in China’s Coal Mine Management," Mathematics, MDPI, vol. 10(21), pages 1-20, October.
    3. Rongwu Lu & Xinhua Wang & Hao Yu & Dan Li, 2018. "Multiparty Evolutionary Game Model in Coal Mine Safety Management and Its Application," Complexity, Hindawi, vol. 2018, pages 1-10, March.
    4. Kai Yu & Sai Zhang & Pingping Liu & Lujie Zhou & Jing Chen, 2022. "Research on Simulation and Decision-Making of Coal Mine Workers’ Behavior Risk," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
    5. You, Mengjie & Li, Shuang & Li, Dingwei & Cao, Qingren & Xu, Feng, 2020. "Evolutionary game analysis of coal-mine enterprise internal safety inspection system in China based on system dynamics," Resources Policy, Elsevier, vol. 67(C).
    6. Kai Yu & Nannan Qu & Jifeng Lu & Lujie Zhou, 2022. "Determining Subway Emergency Evacuation Efficiency Using Hybrid System Dynamics and Multiple Agents," Mathematics, MDPI, vol. 10(19), pages 1-18, October.
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    1. Li, Wanzhen & Zhou, Lujie & Hao, Jian & Yu, Kai & Chen, Jing & Liu, Pingping & Feng, Rui, 2023. "Dynamic simulation and control strategy exploration of the unsafe behavior of coal mine employees," Resources Policy, Elsevier, vol. 86(PA).
    2. Xiong, Yachao & Qi, Hui & Li, Zequan & Zhang, Qiuhan, 2023. "Where risk, where capability? Building the emergency management capability structure of coal mining enterprises based on risk matching perspective," Resources Policy, Elsevier, vol. 83(C).
    3. Na Yu & Meilin Lu, 2024. "Analysis of the Dynamic Evolution Game of Government, Enterprise and the Public to Control Industrial Pollution," Sustainability, MDPI, vol. 16(7), pages 1-20, March.

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