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Evaluation of emergency management capability for construction safety accidents based on FRAM-BN
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Zhijian LI1, 2, Jianjun SHE**, 1, 2, Cong LU1, 2, Zihao GUO1, 2, Yilun ZHOU3
China Safety Science Journal | 2026, 36(2) : 199 - 208
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China Safety Science Journal | 2026, 36(2): 199-208
Public Safety and Emergency Management
Evaluation of emergency management capability for construction safety accidents based on FRAM-BN
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Zhijian LI1, 2, Jianjun SHE**, 1, 2, Cong LU1, 2, Zihao GUO1, 2, Yilun ZHOU3
Affiliations
  • 1School of Civil Engineering, Nanjing Tech University, Nanjing Jiangsu 211816, China
  • 2CSCEC-Nanjing Tech University Smart Construction Research Center, Nanjing Jiangsu 211816, China
  • 3Nanjing China Construction Eighth Engineering Division Smart Technology Co., Ltd., Nanjing Jiangsu 211800, China
Published: 2026-02-28 doi: 10.16265/j.cnki.issn1003-3033.2026.02.1492
Outline
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To scientifically evaluate and enhance construction enterprises' emergency management capabilities for sudden safety incidents, a comprehensive model integrating qualitative analysis and qunatitative evaluation was proposed, addressing the limitations of traditional static assessment methods, which struggle to capture functional coupling and are easily influenced by subiective weighting. First, based on the theory of balanced emergency management throughout the entire process, a complete evaluation indicators system was established by dentifying 12 secondary indicators across four stages, including preparation and prevention, monitoring and early warning, response and disposal, and recovery and learning, and integrating the trajectory intersection theory and catastrophe theory. Subsequently, FRAM was employed to identify key functions and coupling paths among these indicators. An evaluation model was then developed by integrating an improved K-shell algorithm with BN. Finally, the model was applied to a practical engineering case and its effectiveness was validated through expert review and scenario simulations. The results demonstrate that the selected construction enterprise has a comprehensive emergency management capability of 81.682%, indicating its emergency mechanism can effectively respond to and handle various construction safety incidents. Among the capabilities, recovery and learning performs best (90.855%), while monitoring and early warning remains relatively weak (76.616%). Sensitivity analysis shows that professional team development (F3) and on-site command decision-making (F7) contributed most significantly to the overall capability.

functional resonance analysis method (FRAM)  /  Bayesian network (BN)  /  construction safety  /  emergency  /  emergency management capability  /  improved K-shell algorithm
Zhijian LI, Jianjun SHE, Cong LU, Zihao GUO, Yilun ZHOU. Evaluation of emergency management capability for construction safety accidents based on FRAM-BN[J]. China Safety Science Journal, 2026 , 36 (2) : 199 -208 . DOI: 10.16265/j.cnki.issn1003-3033.2026.02.1492
Year 2026 volume 36 Issue 2
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.02.1492
  • Receive Date:2025-10-14
  • Online Date:2026-07-08
  • Published:2026-02-28
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  • Received:2025-10-14
  • Revised:2025-12-23
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Affiliations
    1School of Civil Engineering, Nanjing Tech University, Nanjing Jiangsu 211816, China
    2CSCEC-Nanjing Tech University Smart Construction Research Center, Nanjing Jiangsu 211816, China
    3Nanjing China Construction Eighth Engineering Division Smart Technology Co., Ltd., Nanjing Jiangsu 211800, 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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