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Accident injuries model of ship repair and building enterprises based on binary Logistic regression
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Xian LI1, Yu JIAO1, **, Danda SHI1, Jianjun WU2, Yutao KANG1
China Safety Science Journal | 2024, 34(12) : 120 - 128
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China Safety Science Journal | 2024, 34(12): 120-128
Safety engineering technology
Accident injuries model of ship repair and building enterprises based on binary Logistic regression
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Xian LI1, Yu JIAO1, **, Danda SHI1, Jianjun WU2, Yutao KANG1
Affiliations
  • 1 College of Ocean Science and Engineering,Shanghai Maritime University,Shanghai 201306,China
  • 2 Research and Development Center,Shanghai Shipbuilding Technology Research Institute,Shanghai 200032,China
Published: 2024-12-28 doi: 10.16265/j.cnki.issn1003-3033.2024.12.0350
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In order to explore the factors influencing accident injuries in SRBE,a binary LR model was constructed based on data from 1 411 accidents from a Chinese shipbuilding group. OR were used to quantify the impact of factors such as enterprise,time,location,personnel,environment,and accident types to accident injuries. The result identifies 11 significant factors influencing accident injuries. Non-contract workers face significantly higher risks of injury compared to contract workers. Non-approved hazardous operations pose 3.246 times the risk of accident injuries compared to approved hazardous operations. Male perpetrators present a significantly higher risk of causing accident injuries than female perpetrators. The education level of the workers is predominantly at junior high school,and higher education levels are associated with a lower risk of causing accident injuries compared to those with junior high school education. Accident injuries exhibit seasonal characteristics,with accidents occurring frequently in the second quarter,while relatively fewer and less risky in the first quarter. Peak working hours and workdays significantly increase injury risks compared to off-peak hours and non-working days. Object strikes are the primary type of accidents,and mechanical injuries significantly increase the risk of accident injuries. Ships and workshops are the most likely locations for accident injuries within the shipyards. Longer years of service reduce the risk of accident injuries,while higher temperatures increase it.

Logistic regression (LR)  /  ship repair and building enterprises (SRBE)  /  accident injuries  /  influencing factor  /  odds ratio (OR)
Xian LI, Yu JIAO, Danda SHI, Jianjun WU, Yutao KANG. Accident injuries model of ship repair and building enterprises based on binary Logistic regression[J]. China Safety Science Journal, 2024 , 34 (12) : 120 -128 . DOI: 10.16265/j.cnki.issn1003-3033.2024.12.0350
Year 2024 volume 34 Issue 12
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.12.0350
  • Receive Date:2024-07-14
  • Online Date:2025-07-09
  • Published:2024-12-28
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  • Received:2024-07-14
  • Revised:2024-09-18
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Affiliations
    1 College of Ocean Science and Engineering,Shanghai Maritime University,Shanghai 201306,China
    2 Research and Development Center,Shanghai Shipbuilding Technology Research Institute,Shanghai 200032,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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