IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v239y2025i3p630-644.html

Analysis of coal mining accident risk factors based on text mining

Author

Listed:
  • Yiman He
  • Jizu Li

Abstract

Frequently occurring coal mine safety accidents have caused great casualties and economic losses. Coal mine intelligence is the core technical support for the high-quality development of the coal industry. The deep integration of coal mining safety production management and Artificial Intelligence (AI) technology is practically significant to achieve accident prevention. To efficiently identify mining accident risk factors and explore mechanism of coupling between risk factors, this study mined 400 reported cases of mining accidents in Shanxi Province and identified 64 accident risk factors through custom, stopword, synonym dictionary construction, keyword extraction and keyword correlation analysis. Then, this study constructed association rules and a Bayesian causal network. The major risk factors are identified using a comprehensive high-frequency, sensitivity, strength and key path analysis of the Bayesian causal network. The following seven risk factors are found to play a major role in the occurrence of mine accidents: inadequate safety supervision, disordered safety management, illegal organization of production, inadequate staff safety education and training, operation against rules, command against rules and weak safety consciousness among the staff. Finally, a case study is conducted to validate the reliability of the results. This study solves the problem of incomplete extraction of key feature information in coal mine reports and the lack of analyses of coupling mechanisms between coal mine risk factors in traditional accident analysis methods, providing the methodological support for the effective use of unstructured coal mine safety production data for risk analysis.

Suggested Citation

  • Yiman He & Jizu Li, 2025. "Analysis of coal mining accident risk factors based on text mining," Journal of Risk and Reliability, , vol. 239(3), pages 630-644, June.
    • Handle: RePEc:sae:risrel:v:239:y:2025:i:3:p:630-644
    DOI: 10.1177/1748006X241245579
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X241245579
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X241245579?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhaobo Chen & Gangzhu Qiao & Jianchao Zeng, 2019. "Study on the Relationship between Worker States and Unsafe Behaviours in Coal Mine Accidents Based on a Bayesian Networks Model," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    2. Fa, Ziwei & Li, Xinchun & Qiu, Zunxiang & Liu, Quanlong & Zhai, Zhengyuan, 2021. "From correlation to causality: Path analysis of accident-causing factors in coal mines from the perspective of human, machinery, environment and management," Resources Policy, Elsevier, vol. 73(C).
    3. Xiaofang Wo & Guichen Li & Yuantian Sun & Jinghua Li & Sen Yang & Haoran Hao, 2022. "The Changing Tendency and Association Analysis of Intelligent Coal Mines in China: A Policy Text Mining Study," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    4. You, Mengjie & Li, Shuang & Li, Dingwei & Cao, Qingren & Xu, Feng, 2020. "Evolutionary game analysis of coal-mine enterprise internal safety inspection system in China based on system dynamics," Resources Policy, Elsevier, vol. 67(C).
    5. Wang, Huanxin & Liu, Zhengjiang & Wang, Xinjian & Graham, Tony & Wang, Jin, 2021. "An analysis of factors affecting the severity of marine accidents," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    6. Arif Emre Dursun, 2020. "Statistical analysis of methane explosions in Turkey’s underground coal mines and some recommendations for the prevention of these accidents: 2010–2017," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 329-351, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li Yang & Xue Wang & Junqi Zhu & Liyan Sun & Zhiyuan Qin, 2022. "Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD," IJERPH, MDPI, vol. 19(17), pages 1-29, August.
    2. Inmaculada Silla & Francisco J. Gracia & José M. Peiró, 2020. "Upward Voice: Participative Decision Making, Trust in Leadership and Safety Climate Matter," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    3. Dugan, Spencer August & Utne, Ingrid Bouwer, 2025. "Improved identification of maritime risk-influencing factors using AIS data in regression analysis," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
    4. Hongxia Li & Yiru Zhang & Wanli Yang, 2023. "Gas explosion early warning method in coal mines by intelligent mining system and multivariate data analysis," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-19, November.
    5. Zhang, Jinfeng & Jin, Mei & Wan, Chengpeng & Dong, Zhijie & Wu, Xiaohong, 2024. "A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. Donghun Lee & Hyungju Kim & Kwiyeon Koo & Sooyeon Kwon, 2024. "Human Reliability Analysis for Fishing Vessels in Korea Using Cognitive Reliability and Error Analysis Method (CREAM)," Sustainability, MDPI, vol. 16(9), pages 1-26, April.
    7. Ye, Congliang & Zhang, Qi, 2022. "Chain explosion behaviors induced by discontinuous methane/air distribution," Energy, Elsevier, vol. 252(C).
    8. Shitao Gong & Xin Gao & Zhou Li & Linyan Chen, 2021. "Developing a Dynamic Supervision Mechanism to Improve Construction Safety Investment Supervision Efficiency in China: Theoretical Simulation of Evolutionary Game Process," IJERPH, MDPI, vol. 18(7), pages 1-29, March.
    9. Liu, Lu & Zhao, Qiuhong & Bi, Yanlin, 2020. "Why rent-seeking behavior may exist in Chinese mining safety production inspection system and how to alleviate it: A tripartite game analysis," Resources Policy, Elsevier, vol. 69(C).
    10. Wenxin Su & Xin Gao & Yukun Jiang & Jinrong Li, 2021. "Developing a Construction Safety Standard System to Enhance Safety Supervision Efficiency in China: A Theoretical Simulation of the Evolutionary Game Process," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
    11. Liu, Zhichen & Li, Ying & Zhang, Zhaoyi & Yu, Wenbo, 2022. "A new evacuation accessibility analysis approach based on spatial information," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    12. Hendalianpour, Ayad & Liu, Peide & Amirghodsi, Sirous & Hamzehlou, Mohammad, 2022. "Designing a System Dynamics model to simulate criteria affecting oil and gas development contracts," Resources Policy, Elsevier, vol. 78(C).
    13. Jinjia Zhang & Yiping Zeng & Genserik Reniers & Jie Liu, 2022. "Analysis of the Interaction Mechanism of the Risk Factors of Gas Explosions in Chinese Underground Coal Mines," IJERPH, MDPI, vol. 19(2), pages 1-18, January.
    14. Li, Huanhuan & Ren, Xujie & Yang, Zaili, 2023. "Data-driven Bayesian network for risk analysis of global maritime accidents," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    15. Juan Wang & Xin Wan & Ruide Tu, 2022. "Game Analysis of the Evolution of Local Government’s River Chief System Implementation Strategy," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    16. Panagiotis Panagiotidis & Kyriakos Giannakis & Nikolaos Angelopoulos & Angelos Liapis, 2021. "Shipping Accidents Dataset: Data-Driven Directions for Assessing Accident’s Impact and Improving Safety Onboard," Data, MDPI, vol. 6(12), pages 1-19, December.
    17. Siddhartha Roy & Devi Prasad Mishra & Ram Madhab Bhattacharjee & Hemant Agrawal, 2022. "Genetic programming for prediction of heat stress hazard in underground coal mine environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2527-2543, December.
    18. Chen, Tianyi & Wang, Hua & Cai, Yutong & Liang, Maohan & Meng, Qiang, 2025. "Exploring key factors for long-term vessel incident risk prediction," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    19. Munim, Ziaul Haque & Sørli, Michael André & Kim, Hyungju & Alon, Ilan, 2024. "Predicting maritime accident risk using Automated Machine Learning," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    20. Baskoro, Firly Rachmaditya & Takahashi, Katsuhiko & Morikawa, Katsumi & Nagasawa, Keisuke, 2021. "System dynamics approach in determining coal utilization scenario in Indonesia," Resources Policy, Elsevier, vol. 73(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:239:y:2025:i:3:p:630-644. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.