He Yiman, Li Jizu, Yu Min, Guo Yanyu
College of Economics and Management, Taiyuan University of Technology, China.
Int J Occup Saf Ergon. 2025 Mar;31(1):45-58. doi: 10.1080/10803548.2024.2403276. Epub 2024 Oct 21.
Coal mine accidents seriously affect China's coal safety production and sustainable development. The present study aimed to reveal the risk factors in coal mine accidents and explore the causal relationship among risk factors.
This study utilized text mining to analyse 450 coal mine accident reports, identifying 50 risk factors and efficiently mapping them into the 24Model. The association rule algorithm was then used to mine the strong association rules among the risk factors within the 24Model, establishing the interaction mechanism among them. Based on the strong association rules, related hypotheses were proposed. Finally, the hierarchical and logical relationships of risk factors within the 24Model were analysed, and the causal and mediating effects were tested by path analysis.
The safety management system has a direct effect on unsafe acts, unsafe conditions, habitual behaviour and organizational safety culture. Moreover, external influence has an effect on unsafe acts, organizational safety culture and habitual behaviour through the mediating effect of the safety management system.
Based on the results obtained, this study proposes a series of specific measures to prevent risks in coal mines, providing a new perspective for the analysis and prevention of accidents.
煤矿事故严重影响我国煤炭安全生产和可持续发展。本研究旨在揭示煤矿事故中的风险因素，并探究风险因素之间的因果关系。
本研究利用文本挖掘技术分析450份煤矿事故报告，识别出50个风险因素并将其有效映射到24模型中。然后使用关联规则算法挖掘24模型内风险因素之间的强关联规则，建立它们之间的相互作用机制。基于强关联规则，提出相关假设。最后，分析24模型内风险因素的层次和逻辑关系，并通过路径分析检验因果和中介效应。
安全管理体系对不安全行为、不安全状况、习惯性行为和组织安全文化有直接影响。此外，外部影响通过安全管理体系的中介作用对不安全行为、组织安全文化和习惯性行为产生影响。
基于所得结果，本研究提出了一系列预防煤矿风险的具体措施，为事故分析和预防提供了新视角。
