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Analysis on characteristics and severity of major work safety accidents in China
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Yu JIAO1, Yulei MA1, Xian LI1, Hongliang MA2, Yutao KANG1
China Safety Science Journal | 2024, 34(2) : 94 - 102
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China Safety Science Journal | 2024, 34(2): 94-102
Safety social science and safety management
Analysis on characteristics and severity of major work safety accidents in China
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Yu JIAO1, Yulei MA1, Xian LI1, Hongliang MA2, Yutao KANG1
Affiliations
  • 1 College of Ocean Science and Engineering,Shanghai Maritime University,Shanghai 201306,China
  • 2 China Occupational Safety and Health Association,Beijing 100029
Published: 2024-02-28 doi: 10.16265/j.cnki.issn1003-3033.2024.02.0946
Outline
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A comprehensive database of MWSA was established to facilitate the data management to reduce the frequency and severity of accidents in China. From 2010 to 2022,a total of 278 records,supervised by the State Council Security Committee,were collected and stored in the MWSA database. The distribution of accident characteristics was explored for the dimensions of accident time,space,industry and type,which were examined in this study. Using a comprehensive quantitative index,a quantile regression model was developed to identify factors that significantly influenced accident severity. The results show that in terms of spatial and temporal distribution,the number of accidents and deaths from June to September is at the peak,and the number of accidents and deaths on sunny days (7:00-18:00) accounts for as much as two-thirds. There are fewer accident records in Beijing,Tianjin,Jiangsu,Zhejiang,Shanghai and Fujian. Explosions and vehicle injuries notably stand out as the primary accident types. At a significance level of 0.05,the accident severity is correlated with various factors,including accident type,date,season,sunlight,weather,average temperature,company staff size and company establishment time. Weather and average temperature emerge as pivotal factors influencing low-severity accidents. Moreover,enterprises with less than 100 employees are more prone to severe accidents.

major work safety accidents(MWSA)  /  accident severity  /  accident characteristics  /  quantile regression  /  heterogeneity  /  database
Yu JIAO, Yulei MA, Xian LI, Hongliang MA, Yutao KANG. Analysis on characteristics and severity of major work safety accidents in China[J]. China Safety Science Journal, 2024 , 34 (2) : 94 -102 . DOI: 10.16265/j.cnki.issn1003-3033.2024.02.0946
Year 2024 volume 34 Issue 2
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.02.0946
  • Receive Date:2023-08-11
  • Online Date:2025-07-09
  • Published:2024-02-28
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  • Received:2023-08-11
  • Revised:2023-11-18
Affiliations
    1 College of Ocean Science and Engineering,Shanghai Maritime University,Shanghai 201306,China
    2 China Occupational Safety and Health Association,Beijing 100029
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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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