A state of the art of the accident causation models in the process industries

Abstract

The comprehensive review of research literature in accordance with the implementations of the accident causation models enables knowledge incomes for the contributing authors towards the advancement of the accident causation methodologies for administering the accidents' causal factors. For obtaining this objective, the systematic literature review meta‐analysis are developed by evaluating the parameter indicator linked to the most utilized causation methods in addressing the contributing factors in process industries. The methodological review process called preferred reporting items for systematic reviews and meta‐analyses (PRISMA) is implemented in this paper due to its capability to integrate both systematic reviews and meta‐analysis. This systematic literature review deeply investigates 149 papers by a thorough reading from the filtered 387 manuscripts published in the academic SCOPUS databases during 1980–2020. Additionally, the statistical analysis t test is performed to identify the homogeneity of literature papers resulting from research conclusions. The suggested future improvement in the domain of accident causation models is the advancement of administering the accident causal factors' values of correlations and interdependencies. While particularly for quantified accident causation models, the adoption of uncertainty analysis needs to further developed as a research suggestion in the future.