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To improve the current situation of frequent disasters and accidents in coal mines, the game behaviors among various stakeholders in the dynamic governance of intelligent coal mine safety risks were investigated. A tripartite evolutionary game model was constructed involving the government, coal mine enterprises, and miners, to analyze the evolutionary stability among the three parties. Additionally, evolutionary game scenario simulations were employed to mimic the actual context of intelligent coal mine safety risk governance. Through this, the influence processes of factors such as governmental regulatory intensity and benefit-sharing ratio on the strategies of the gaming participants were revealed. The results indicate that governments should appropriately apply reward and punishment mechanisms during the regulation of enterprise safety governance. This approach can enhance corporate attention to safety risk management, reduce regulatory costs, and promote synergistic benefits between government and enterprises. High governance costs tend to reduce corporate enthusiasm for compliance and may encourage opportunistic behavior; therefore, incentive mechanisms and cost-sharing strategies are necessary to alleviate the burden on enterprises. Encouraging miner participation and reducing their involvement costs contribute to faster identification of potential safety risks and help prevent accidents.

, authors=Lipeng REN1, Ruipeng TONG**, 2, authorsList=Lipeng REN, Ruipeng TONG, authorCompany=null, correspAuthors=Ruipeng TONG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281616700143547185, articleId=1281616697933148972, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=智能化煤矿安全风险多主体动态治理演化博弈研究, columnId=1281608091288453145, journalTitle=中国安全科学学报, columnName=智能安全技术, runingTitle=null, highlight=null, articleAbstract=

为改善煤矿灾害事故多发的现状,分析智能化煤矿安全风险动态治理中各方主体的博弈行为,构建以政府、煤矿企业与矿工为主体的三方演化博弈模型,分析三方主体之间的演化博弈稳定性,利用演化博弈情境仿真模拟智能化煤矿安全风险治理情境,揭示政府监管力度、收益分摊比例系数等因素对博弈主体策略的影响过程。结果表明:政府部门在监管企业安全风险治理过程中,适当地运用奖惩机制提升企业对安全风险治理的重视程度,有助于节约政府监管成本,扩大政企协同收益;高治理成本会降低企业治理积极性、催生企业的投机行为,需采取激励机制与成本共担策略,减轻企业安全风险治理负担;激励矿工参与治理,降低其参与成本,有助于企业快速识别潜在安全风险,防止灾害事故的发生。

, authors=任利鹏1, 佟瑞鹏教授**, 2, authorsList=任利鹏, 佟瑞鹏教授, authorCompany=null, correspAuthors=佟瑞鹏教授, authorNote=

任利鹏(1998—),女,河南洛阳人,博士研究生,主要研究方向为公共安全与应急管理、政府治理等。E-mail:

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** 佟瑞鹏(1977—),男,黑龙江穆棱人,博士,教授,主要从事行为安全管理、职业心理健康、环境风险评估等方面的研究。E-mail:
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任利鹏(1998—),女,河南洛阳人,博士研究生,主要研究方向为公共安全与应急管理、政府治理等。E-mail:

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任利鹏(1998—),女,河南洛阳人,博士研究生,主要研究方向为公共安全与应急管理、政府治理等。E-mail:

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智能化煤矿安全风险多主体动态治理演化博弈研究
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任利鹏 1 , 佟瑞鹏教授 **, 2
中国安全科学学报 | 智能安全技术 2026,36(2): 253-261
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中国安全科学学报 |智能安全技术 2026 , 36 (2) : 253 -261
智能化煤矿安全风险多主体动态治理演化博弈研究
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任利鹏1 , 佟瑞鹏教授**, 2
作者信息
  • 1中国矿业大学(北京) 文法学院,北京 100083
  • 2中国矿业大学(北京) 应急管理与安全工程学院,北京 100083
通讯作者:
** 佟瑞鹏(1977—),男,黑龙江穆棱人,博士,教授,主要从事行为安全管理、职业心理健康、环境风险评估等方面的研究。E-mail:
作者简介:

任利鹏(1998—),女,河南洛阳人,博士研究生,主要研究方向为公共安全与应急管理、政府治理等。E-mail:

Evolutionary game research on multi-body dynamic governance of intelligent coal mine safety risks
Lipeng REN1 , Ruipeng TONG**, 2
Affiliations
  • 1School of Law and Humanities, China University of Mining and Technology-Beijing, Beijing 100083, China
  • 2School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
出版时间: 2026-02-28 doi: 10.16265/j.cnki.issn1003-3033.2026.02.0247
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为改善煤矿灾害事故多发的现状,分析智能化煤矿安全风险动态治理中各方主体的博弈行为,构建以政府、煤矿企业与矿工为主体的三方演化博弈模型,分析三方主体之间的演化博弈稳定性,利用演化博弈情境仿真模拟智能化煤矿安全风险治理情境,揭示政府监管力度、收益分摊比例系数等因素对博弈主体策略的影响过程。结果表明:政府部门在监管企业安全风险治理过程中,适当地运用奖惩机制提升企业对安全风险治理的重视程度,有助于节约政府监管成本,扩大政企协同收益;高治理成本会降低企业治理积极性、催生企业的投机行为,需采取激励机制与成本共担策略,减轻企业安全风险治理负担;激励矿工参与治理,降低其参与成本,有助于企业快速识别潜在安全风险,防止灾害事故的发生。

智能化煤矿  /  煤矿安全风险  /  动态治理  /  演化博弈  /  情境仿真

To improve the current situation of frequent disasters and accidents in coal mines, the game behaviors among various stakeholders in the dynamic governance of intelligent coal mine safety risks were investigated. A tripartite evolutionary game model was constructed involving the government, coal mine enterprises, and miners, to analyze the evolutionary stability among the three parties. Additionally, evolutionary game scenario simulations were employed to mimic the actual context of intelligent coal mine safety risk governance. Through this, the influence processes of factors such as governmental regulatory intensity and benefit-sharing ratio on the strategies of the gaming participants were revealed. The results indicate that governments should appropriately apply reward and punishment mechanisms during the regulation of enterprise safety governance. This approach can enhance corporate attention to safety risk management, reduce regulatory costs, and promote synergistic benefits between government and enterprises. High governance costs tend to reduce corporate enthusiasm for compliance and may encourage opportunistic behavior; therefore, incentive mechanisms and cost-sharing strategies are necessary to alleviate the burden on enterprises. Encouraging miner participation and reducing their involvement costs contribute to faster identification of potential safety risks and help prevent accidents.

intelligent coal mine  /  coal mine safety risk  /  dynamic governance  /  evolutionary game  /  scenario simulation
任利鹏, 佟瑞鹏教授. 智能化煤矿安全风险多主体动态治理演化博弈研究. 中国安全科学学报, 2026 , 36 (2) : 253 -261 . DOI: 10.16265/j.cnki.issn1003-3033.2026.02.0247
Lipeng REN, Ruipeng TONG. Evolutionary game research on multi-body dynamic governance of intelligent coal mine safety risks[J]. China Safety Science Journal, 2026 , 36 (2) : 253 -261 . DOI: 10.16265/j.cnki.issn1003-3033.2026.02.0247
  • 国家自然科学基金资助(52074302)
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doi: 10.16265/j.cnki.issn1003-3033.2026.02.0247
  • 接收时间:2025-09-05
  • 首发时间:2026-07-08
  • 出版时间:2026-02-28
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  • 收稿日期:2025-09-05
  • 修回日期:2025-12-08
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国家自然科学基金资助(52074302)
作者信息
    1中国矿业大学(北京) 文法学院,北京 100083
    2中国矿业大学(北京) 应急管理与安全工程学院,北京 100083

通讯作者:

** 佟瑞鹏(1977—),男,黑龙江穆棱人,博士,教授,主要从事行为安全管理、职业心理健康、环境风险评估等方面的研究。E-mail:
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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