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<p>Coal mine hazards are a significant contributor to accidents, highlighting the need for effective hazard control in safety management and accident prevention. This study presents a novel methodology combining Latent Dirichlet Allocation (LDA) and DEMATEL-ISM to identify key factors contributing to coal mine hazards, complemented by a case study analysis. The LDA model is initially used to extract relevant topics from a corpus of coal mine hazard reports, providing insight into the common hazard-related themes. Following this, the DEMATLE-ISM method is applied to construct a network of relationships among these identified topics, enabling a deeper analysis of their interconnections. The results identify seven key hazard topics: behavior, equipment condition, maintenance, location, management, information, and environment. The hierarchical analysis of these topics reveals that behavior and safety management play central roles in determining the overall safety of the system, while equipment failures and inadequate maintenance are identified as significant contributors to coal mine hazards. This study introduces a fresh perspective by focusing on the daily hazard records and safety behaviors rather than accident reports, providing an innovative angle for understanding coal mine hazards. It offers valuable insights into how improved behavior, maintenance quality, and safety management can reduce safety risks, thus contributing to enhanced coal mine safety.</p>

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A Deep Dive into Coal Mine Hazards: Uncovering Root Causes Through LDA and DEMATEL-ISM

  • 期刊论文

  • 发表日期：

    2025年4月4日

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  • Xiangchun Li,
  • Shuhao Zhang,
  • Chunli Yang,
  • Yuzhen Long,
  • Yaoyu Shi,
  • Jianhua Zeng,
  • Xiaowei Li,
  • Baisheng Nie

摘要

Coal mine hazards are a significant contributor to accidents, highlighting the need for effective hazard control in safety management and accident prevention. This study presents a novel methodology combining Latent Dirichlet Allocation (LDA) and DEMATEL-ISM to identify key factors contributing to coal mine hazards, complemented by a case study analysis. The LDA model is initially used to extract relevant topics from a corpus of coal mine hazard reports, providing insight into the common hazard-related themes. Following this, the DEMATLE-ISM method is applied to construct a network of relationships among these identified topics, enabling a deeper analysis of their interconnections. The results identify seven key hazard topics: behavior, equipment condition, maintenance, location, management, information, and environment. The hierarchical analysis of these topics reveals that behavior and safety management play central roles in determining the overall safety of the system, while equipment failures and inadequate maintenance are identified as significant contributors to coal mine hazards. This study introduces a fresh perspective by focusing on the daily hazard records and safety behaviors rather than accident reports, providing an innovative angle for understanding coal mine hazards. It offers valuable insights into how improved behavior, maintenance quality, and safety management can reduce safety risks, thus contributing to enhanced coal mine safety.