China Safety Science Journal ›› 2024, Vol. 34 ›› Issue (3): 29-38.doi: 10.16265/j.cnki.issn1003-3033.2024.03.0368

• Safety social science and safety management • Previous Articles     Next Articles

Feature mining and causative analysis of fire accidents in ship repair and building enterprises

LI Xian1(), JIAO Yu1,**(), CHEN Wentao2, SHI Danda1, KANG Yutao1   

  1. 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
  • Received:2023-09-15 Revised:2023-12-19 Online:2024-03-28 Published:2024-09-28
  • Contact: JIAO Yu


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.

Key words: 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

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