Using HFACS to understand human error in railway dispatcher performance: a study of proactive safety inspection records.

This study analyzes 4,095 proactive safety inspection records obtained from a large dispatching centre by utilising the HFACS framework. These proactive safety inspection records offer comprehensive documentation of incidents, capturing major accidents and numerous minor discrepancies and lapses tha...

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Publicado en:Ergonomics Vol. 68; no. 1; pp. 37 - 51
Autores principales: Guo, Zizheng, Pang, Huishan, Zhang, Jingyu, Zhang, Jun, Wang, Jiazhe, He, Chuanning, Li, Chengen
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jan2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2025
      vid: 68
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      pub: Taylor & Francis Ltd
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        10.1080/00140139.2023.2287975
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        atl: Using HFACS to understand human error in railway dispatcher performance: a study of proactive safety inspection records.
      aug:
        au:
          Guo, Zizheng
          Pang, Huishan
          Zhang, Jingyu
          Zhang, Jun
          Wang, Jiazhe
          He, Chuanning
          Li, Chengen
        affil: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China
      sug:
        subj:
          Human Error Prevention and Control
          Accidents, Occupational Prevention and Control
          Railroads
          Occupational Safety
          Task Performance and Analysis
          Human
          Path Analysis
          Decision Making
          Documentation
          Adverse Health Care Event
          Teamwork
          Clinical Supervision
          Conceptual Framework
          Occupational Health
          Descriptive Statistics
          Funding Source
      ab: This study analyzes 4,095 proactive safety inspection records obtained from a large dispatching centre by utilising the HFACS framework. These proactive safety inspection records offer comprehensive documentation of incidents, capturing major accidents and numerous minor discrepancies and lapses that often go unnoticed in accident reports. The analysis revealed that most incidents were attributed to unsafe actions, primarily skill-based errors and poor decision-making. Additionally, contributing factors such as adverse mental states, personal readiness, and crew resource management were found to play a significant role as preconditions for unsafe acts. Path analyses further established a significant correlation between factors such as unsafe supervision, preconditions for unsafe acts, and the occurrence of unsafe acts. In our discussion, we critically evaluate the strengths and limitations of proactive safety inspection records in safety research. Moreover, we emphasise these findings' potential to enhance safety within the railway industry. PRACTITIONER SUMMARY: Based on a substantial dataset comprising proactive safety inspection records of railway dispatchers rather than the incident reports utilised in prior studies, this paper presents a causal model of human error among railway dispatchers in combination with HFACS and critically evaluates the strengths and limitations of active safety inspection records.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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