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采用混合方法进行碰撞调查:AcciMap、STAMP-CAST 和 PCM。

Taking a mixed-methods approach to collision investigation: AcciMap, STAMP-CAST and PCM.

机构信息

Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.

Accident Research Institute, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.

出版信息

Appl Ergon. 2022 Apr;100:103650. doi: 10.1016/j.apergo.2021.103650. Epub 2021 Nov 19.

DOI:10.1016/j.apergo.2021.103650
PMID:34808534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8793940/
Abstract

Recently, ergonomics and safety researchers have turned their attention towards applying combinations of sociotechnical methods rather than using single methods in isolation. In the current research, a mixed-method approach combining two systems-based methods, Accimaps and the Systems Theoretic Accident Model and Process - Causal Analysis using Systems Theory (STAMP-CAST), and one cognitive approach, the Perceptual Cycle Model (PCM), were employed in analysing a rail-level crossing incident in Bangladesh. Each method was applied individually to investigate the collision, and interventions were proposed corresponding to incident events at different risk management framework levels. The three methods provided different perspectives of the whole picture, together identifying an array of contributory factors. The complementary nature of these methods aided in proposing a comprehensive set of safety recommendations, thereby demonstrating the benefit of a mixed-method approach for collision investigation in low-income settings.

摘要

最近,工效学和安全研究人员将注意力转向应用组合的社会技术方法,而不是单独使用单一方法。在当前的研究中,采用了一种混合方法,结合了两种基于系统的方法,Accimaps 和系统理论事故模型和过程 - 使用系统理论的因果分析(STAMP-CAST),以及一种认知方法,即感知循环模型(PCM),用于分析孟加拉国的一起铁路道口事故。每种方法都单独应用于调查碰撞事件,并针对不同风险管理框架级别的事件提出了干预措施。这三种方法从不同的角度提供了事故的全貌,共同确定了一系列促成因素。这些方法的互补性有助于提出一套全面的安全建议,从而证明了混合方法在低收入环境中进行碰撞调查的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/266c/8793940/42bc95fd7f5c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/266c/8793940/42bc95fd7f5c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/266c/8793940/42bc95fd7f5c/gr1.jpg

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