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Applying systems thinking approach to accident analysis in China: Case study of '7.23' Yong-Tai-Wen High-Speed train accident

机译:在中国事故分析中运用系统思维方法:以“ 7.23” Yong台温高速列车事故为例

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摘要

Learning from accidents contributes to improvement of safety and prevention of unwanted events. How much we can learn depends on how deeply we analyze the accident phenomenon. Traditional causal analysis tools have limitations when analyzing the dynamic complexity of major incidents from a linear cause and effect perspective. By contrast, systems thinking is an approach of "seeing the forest for the trees" which emphasizes the circular nature of complex systems and can create a clearer picture of the dynamic systematic structures which have contributed to the occurrence of a major incident. The "7.23" Yong-Tai-Wen railway accident is considered to be the most serious railway accident in Chinese railway history and this research analyzed the accident using the systems thinking approach. From the national accident investigation report, the system elements were identified and the causal loop diagram was developed, based on the system archetype of "shifting the burden". For the problem symptoms in the accident report, the causal loop diagram not only illustrated their symptomatic solutions, but also identified their fundamental solutions. Disclosing how an underlying systemic structure finally resulted in a major accident assists the reader to prevent such accidents by starting from fundamentals. (C) 2015 Elsevier Ltd. All rights reserved.
机译:从事故中学习有助于提高安全性并防止意外事件发生。我们可以学到多少取决于我们对事故现象的分析深度。从线性因果关系角度分析重大事件的动态复杂性时,传统的因果分析工具存在局限性。相比之下,系统思考是一种“以树木为森林”的方法,它强调了复杂系统的循环性质,并且可以为造成重大事件发生的动态系统结构创建更清晰的图景。 7.2台温铁路“ 7.23”事故被认为是中国铁路史上最严重的铁路事故,本研究运用系统思维方法对事故进行了分析。从国家事故调查报告中,根据“转移负担”的系统原型,确定了系统要素并制定了因果关系图。对于事故报告中的问题症状,因果关系图不仅说明了它们的症状解决方案,还确定了其基本解决方案。揭示底层系统结构最终如何导致重大事故的方法,有助于读者从根本上防止此类事故的发生。 (C)2015 Elsevier Ltd.保留所有权利。

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