中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (8): 205-212.doi: 10.16265/j.cnki.issn1003-3033.2025.08.0376

• 公共安全 • 上一篇    下一篇

社区火灾风险因素耦合机制分析与防控策略研究

赵鹏霞1,2(), 李铁1,**(), 佟瑞鹏3, 代宝乾2   

  1. 1 北京科技大学 资源与安全工程学院, 北京 100083
    2 北京市科学技术研究院城市安全与环境科学研究所, 北京 100054
    3 中国矿业大学(北京) 应急管理与安全工程学院, 北京 100083
  • 收稿日期:2025-04-12 修回日期:2025-06-15 出版日期:2025-08-28
  • 通信作者:
    **李铁(1961—),男,天津人,博士,教授,主要从事安全科学与工程方面的研究。E-mail:
  • 作者简介:

    赵鹏霞 (1984—),女,山西运城人,博士研究生,副研究员,研究方向为城市安全风险评估与韧性提升等。E-mail:

    佟瑞鹏,教授

    代宝乾,研究员

  • 基金资助:
    北京市科技新星计划资助(20230484402)

Analysis of coupling mechanisms and prevention strategies for community fire risk factors

ZHAO Pengxia1,2(), LI Tie1,**(), TONG Ruipeng3, DAI Baoqian2   

  1. 1 School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
    2 Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China
    3 School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing, Beijing 100083, China
  • Received:2025-04-12 Revised:2025-06-15 Published:2025-08-28

摘要:

为建立有效且契合社区风险特征的火灾防控体系,以105起社区火灾案例为样本,将风险因素归纳为人的不安全行为、物的不安全状态和不良环境条件及管理缺陷,构建社会网络分析(SNA)/N-K模型,通过计算风险耦合值与网络中心性指标,以耦合值修正亲近中心性的出度值,识别关键风险因素。研究结果表明:管理缺陷风险因素是驱动风险耦合的主导维度;耦合因素数量增多会显著影响社区火灾风险水平;排名前3的关键风险因素依次为:未按要求开展社区火灾隐患巡查,居民安全意识、知识与素养薄弱,没有定期向居民普及消防知识。基于此提出的“3维4阶”社区火灾防控模型,可从制度优化、技术赋能与行为干预3个维度,构建涵盖预防、预警、处置、恢复全周期的社区火灾风险耦合断链策略。

关键词: 社区火灾, 风险因素, 社会网络分析/N-K(SNA/N-K)模型, 风险耦合, 火灾防控

Abstract:

Community fires exhibit high incidence rates and interconnected risk factors. To establish an effective fire prevention and control system aligned with community risk profiles, a hybrid SNA/N-K model was constructed to calculate risk coupling values and network centrality metrics. By adjusting the out-degree values of closeness centrality using coupling values, critical risk factors were identified, providing evidence-based decision-making insights for community fire prevention. Key findings reveal that management deficiencies dominate risk coupling dynamics. An increase coupling factors significantly elevates community fire risk levels. The top three critical risk factors are failure to investigate fire hazards as required, inadequate safety awareness and knowledge of residents and absence of regular fire safety education. Based on this research, a "three-dimensional four-stage" community fire safety management model is proposed. From the dimensions of institutional optimization, technological empowerment and behavioral intervention, a comprehensive strategy is formulated to decouple and interrupt risk coupling chains in community fire prevention and control, encompassing the full cycle of prevention, early warning, response, and recovery. This study contributes a theoretical framework and empirical intervention pathways for community fire risk mitigation, offering actionable guidance for policymakers and practitioners.

Key words: community fire, risk factors, social network analysis/N-K(SNA/N-K) model, coupling, fire prevention and control

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