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<p>External Floating Roof Tanks (EFRTs) are prone to fire and explosion due to the convergence of human error, technical failure, and weak emergency response. Existing models often use ranking-based methods that fail to reflect systemic interdependencies. This study aimed to develop and validate a structural model that explains the latent constructs underlying EFRT hazards using a theory-informed, data-driven approach. A structured checklist with 71 indicators across 11 domains was developed through expert input and literature review. Data from 285 professionals were analysed using Exploratory Factor Analysis (EFA) to identify key dimensions, followed by Confirmatory Factor Analysis (CFA) and path analysis for model validation. EFA extracted 11 factors explaining 72% of the total variance. CFA showed strong fit indices (CFI = 0.915, RMSEA = 0.048). Path analysis confirmed significant causal relationships, including those from operational error to technical failure and fire suppression breakdown. A real-world case study involving 11 EFRTs demonstrated that model-predicted high-risk tanks aligned closely with expert evaluations. The final model provides a multidimensional and statistically validated framework for understanding EFRT risks, integrating human, technical, and organizational domains. This model offers practical guidance for safety engineers to identify high-leverage intervention points. It supports the development of predictive safety tools and can be adapted for integration into intelligent fire prevention systems across storage infrastructures.</p>

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A structural framework for fire and explosion risk in EFRTs: empirical validation using EFA, CFA, and path analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月3日

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  • Parisa Moshashaei,
  • Omid Akbarzadeh,
  • Mohammad Asghari-Jafarabadi,
  • Leila Khazini,
  • Seyed Shamseddin Alizadeh

摘要

External Floating Roof Tanks (EFRTs) are prone to fire and explosion due to the convergence of human error, technical failure, and weak emergency response. Existing models often use ranking-based methods that fail to reflect systemic interdependencies. This study aimed to develop and validate a structural model that explains the latent constructs underlying EFRT hazards using a theory-informed, data-driven approach. A structured checklist with 71 indicators across 11 domains was developed through expert input and literature review. Data from 285 professionals were analysed using Exploratory Factor Analysis (EFA) to identify key dimensions, followed by Confirmatory Factor Analysis (CFA) and path analysis for model validation. EFA extracted 11 factors explaining 72% of the total variance. CFA showed strong fit indices (CFI = 0.915, RMSEA = 0.048). Path analysis confirmed significant causal relationships, including those from operational error to technical failure and fire suppression breakdown. A real-world case study involving 11 EFRTs demonstrated that model-predicted high-risk tanks aligned closely with expert evaluations. The final model provides a multidimensional and statistically validated framework for understanding EFRT risks, integrating human, technical, and organizational domains. This model offers practical guidance for safety engineers to identify high-leverage intervention points. It supports the development of predictive safety tools and can be adapted for integration into intelligent fire prevention systems across storage infrastructures.