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Analysis of coupling mechanisms and prevention strategies for community fire risk factors
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Pengxia ZHAO1, 2, Tie LI**, 1, Ruipeng TONG3, Baoqian DAI2
China Safety Science Journal | 2025, 35(8) : 205 - 212
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China Safety Science Journal | 2025, 35(8): 205-212
Public safety
Analysis of coupling mechanisms and prevention strategies for community fire risk factors
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Pengxia ZHAO1, 2, Tie LI**, 1, Ruipeng TONG3, Baoqian DAI2
Affiliations
  • 1School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • 2Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China
  • 3School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing, Beijing 100083, China
Published: 2025-08-28 doi: 10.16265/j.cnki.issn1003-3033.2025.08.0376
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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.

community fire  /  risk factors  /  social network analysis/N-K(SNA/N-K) model  /  coupling  /  fire prevention and control
Pengxia ZHAO, Tie LI, Ruipeng TONG, Baoqian DAI. Analysis of coupling mechanisms and prevention strategies for community fire risk factors[J]. China Safety Science Journal, 2025 , 35 (8) : 205 -212 . DOI: 10.16265/j.cnki.issn1003-3033.2025.08.0376
Year 2025 volume 35 Issue 8
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doi: 10.16265/j.cnki.issn1003-3033.2025.08.0376
  • Receive Date:2025-04-12
  • Online Date:2026-07-09
  • Published:2025-08-28
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  • Received:2025-04-12
  • Revised:2025-06-15
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Affiliations
    1School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
    2Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China
    3School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing, Beijing 100083, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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