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Feature mining and causative analysis of fire accidents in ship repair and building enterprises
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Xian LI1, Yu JIAO1, **, Wentao CHEN2, Danda SHI1, Yutao KANG1
China Safety Science Journal | 2024, 34(3) : 29 - 38
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China Safety Science Journal | 2024, 34(3): 29-38
Safety social science and safety management
Feature mining and causative analysis of fire accidents in ship repair and building enterprises
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Xian LI1, Yu JIAO1, **, Wentao CHEN2, Danda SHI1, Yutao KANG1
Affiliations
  • 1 College of Ocean Science and Engineering,Shanghai Maritime University,Shanghai 201306,China
  • 2 Safety Development Research Center,Information Research Institute of Ministry of Emergency Management,Shanghai 201401,China
Published: 2024-03-28 doi: 10.16265/j.cnki.issn1003-3033.2024.03.0368
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To investigate the features and causation factors of fire accidents in SRBE,118 fire accidents were studied using method of mathematical statistics. Firstly,accident features were mined in terms of the temporal and spatial attributes of accidents,the three elements of fire and the severity of injuries. Then,based on the improved HFACS-SRBE accident causation model,methods such as Chi-square test,OR and Cramer's V were used to analyze the correlations and their strength between the causal factors. The results show that 14:00-16:00 is the most prone to fire accidents and casualties. The main location of fire accidents is in the ship area,accounting for 33.90%. 59.19% of the ignition source comes from the ignition operation. Ratio of no injuries,slight and minor injuries,serious injuries and deaths is 61:54:3. Through the test of correlations and their strength,it is determined that 15 groups of adjacent level causal factors are correlated,and 26 complete accident causation chains are obtained. Covers communication and coordination→inappropriate operation plans→bad psychological state→decision-making errors is the accident causation chain with the greatest strength of correlation leading to the occurrence of fire accidents in ship repair and building enterprises.

ship repair and building enterprises(SRBE)  /  fire accident  /  causation analysis  /  human factors analysis and classification system (HFACS) model  /  Chi-square test  /  odds ratio (OR)  /  Cramer's V
Xian LI, Yu JIAO, Wentao CHEN, Danda SHI, Yutao KANG. Feature mining and causative analysis of fire accidents in ship repair and building enterprises[J]. China Safety Science Journal, 2024 , 34 (3) : 29 -38 . DOI: 10.16265/j.cnki.issn1003-3033.2024.03.0368
Year 2024 volume 34 Issue 3
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.03.0368
  • Receive Date:2023-09-15
  • Online Date:2025-07-09
  • Published:2024-03-28
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  • Received:2023-09-15
  • Revised:2023-12-19
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Affiliations
    1 College of Ocean Science and Engineering,Shanghai Maritime University,Shanghai 201306,China
    2 Safety Development Research Center,Information Research Institute of Ministry of Emergency Management,Shanghai 201401,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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