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Multiparty Evolutionary Game Model in Coal Mine Safety Management and Its Application

Author

Listed:
  • Rongwu Lu
  • Xinhua Wang
  • Hao Yu
  • Dan Li

Abstract

Coal mine safety management involves many interested parties and there are complex relationships between them. According to game theory, a multiparty evolutionary game model is established to analyze the selection of strategies. Then, a simplified three-party model is taken as an example to carry out detailed analysis and solution. Based on stability theory of dynamics system and phase diagram analysis, this article studies replicator dynamics of the evolutionary model to make an optimization analysis of the behaviors of those interested parties and the adjustment mechanism of safety management policies and decisions. The results show how the charge of supervision of government department and inspection of coal mine enterprise impact the efficiency of safety management and the effect of constraint measures and incentive and other measures in safety management.

Suggested Citation

  • 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.
    • Handle: RePEc:hin:complx:9620142
    DOI: 10.1155/2018/9620142
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    References listed on IDEAS

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    Cited by:

    1. Xinhua Wang & Rongwu Lu & Hao Yu & Dan Li, 2019. "Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management," Complexity, Hindawi, vol. 2019, pages 1-14, February.
    2. 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.
    3. Li, Shuang & Yang, Qifeng & Zhang, Yuhang & Liu, Jiao, 2022. "Multi-agent evolutionary game analysis of the coal mine on-site regulatory mode," Resources Policy, Elsevier, vol. 77(C).
    4. 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).
    5. 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).
    6. Weiwei Liu & Jianing Yang, 2018. "The Evolutionary Game Theoretic Analysis for Sustainable Cooperation Relationship of Collaborative Innovation Network in Strategic Emerging Industries," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    7. Collins, Benjamin C. & Kumral, Mustafa, 2020. "Game theory for analyzing and improving environmental management in the mining industry," Resources Policy, Elsevier, vol. 69(C).
    8. Xin, Baogui & Peng, Wei & Kwon, Yekyung, 2020. "A discrete fractional-order Cournot duopoly game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    9. Wenjun Hu & Haiyan Tian & Gang Zhang, 2019. "Bifurcation Analysis of Three-Strategy Imitative Dynamics with Mutations," Complexity, Hindawi, vol. 2019, pages 1-8, October.
    10. 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.

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