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.

中文翻译：

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过程工业中最先进的事故因果模型

根据事故因果模型的实施情况对研究文献进行全面审查，使贡献作者能够获得知识收入，从而推动事故因果关系方法学的进步，以管理事故的因果因素。为了实现这一目标，系统性文献回顾荟萃分析是通过评估与解决过程工业中影响因素最常用的因果关系方法相关的参数指标而开发的。本文实施了称为系统评价和荟萃分析的首选报告项目（PRISMA）的方法论审查过程，因为它能够整合系统评价和荟萃分析。这篇系统的文献综述通过彻底阅读 1980-2020 年间发表在 SCOPUS 学术数据库中的 387 篇过滤手稿，深入调查了 149 篇论文。此外，统计分析t检验用于识别研究结论产生的文献论文的同质性。建议在事故因果模型领域的未来改进是管理事故因果因素的相关性和相互依赖性值的进步。特别是对于量化的事故因果模型，不确定性分析的采用需要进一步发展为未来的研究建议。