Human reliability analysis in deep excavation projects using a fuzzy Bayesian HEART-5M integrated method: case of a residential tower in north Tehran.

Objectives. Numerous labourers lose their lives or suffer from injuries and disabilities yearly due to the lack of safety enforcement in construction projects and accidents caused by excavation collapses. The identification and ranking of human errors have always been a central concern in civil engi...

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Publicado en:International Journal of Occupational Safety & Ergonomics Vol. 29; no. 3; pp. 1182 - 1196
Autores principales: Ghousi, Rouzbeh, Khanzadi, Mostafa, Esfahani, Mahdiyar Mokhlespour
Formato: algorithm equations & formulas research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Sep2023
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: International Journal of Occupational Safety & Ergonomics
      issn: 10803548
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      dt: Sep2023
      vid: 29
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/10803548.2022.2115227
        166103053
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        atl: Human reliability analysis in deep excavation projects using a fuzzy Bayesian HEART-5M integrated method: case of a residential tower in north Tehran.
      aug:
        au:
          Ghousi, Rouzbeh
          Khanzadi, Mostafa
          Esfahani, Mahdiyar Mokhlespour
        affil: Department of Industrial Engineering, Iran University of Science & Technology, Iran
      sug:
        subj:
          Construction Industry Iran
          Emergencies
          Human Error Evaluation
          Human Error Prevention and Control
          Task Performance and Analysis
          Models, Statistical Utilization
          Algorithms Utilization
          Human
          Iran
          Accidents, Occupational Prevention and Control
          Decision Support Techniques
          Decision Making Methods
          Drainage
          Electrical Safety
          Fire Safety
      ab: Objectives. Numerous labourers lose their lives or suffer from injuries and disabilities yearly due to the lack of safety enforcement in construction projects and accidents caused by excavation collapses. The identification and ranking of human errors have always been a central concern in civil engineering. Previous studies on excavation work and related risks have focused on retaining structure methods, while human errors may be a significant contributor to accidents and near misses. Methods. This study identified human errors in deep excavation projects using hierarchical task analysis (HTA) and a systematic human error reduction and prediction approach (SHERPA). Results. The fuzzy Bayesian human error assessment and reduction technique (HEART)-5M method was implemented to determine the human error probability (HEP) for all case-study tasks. Critical tasks were obtained as 'drainage system execution', 'water and wastewater pipes', 'gas pipes', 'checking cracks in surrounding buildings' and 'checking soil slippage' with probability levels of 0.46, 0.44, 0.44, 0.37 and 0.37, respectively. Finally, remedial measures were presented for crucial tasks. Conclusions. Six unbiased experts approved the model's desirability. The suggested approach can serve as a valuable guide for all project stakeholders in identifying, evaluating and taking corrective actions in similar projects.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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