2019
DOI: 10.1016/j.ssci.2018.12.002
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Four studies, two methods, one accident – An examination of the reliability and validity of Accimap and STAMP for accident analysis

Abstract: The validity and reliability of human factors and safety science methods are some of the important criteria for judging their appropriateness and utility for accident analysis, however these are rarely assessed. The aim of this study is to take a closer look at the validity and reliability of two systemic accident analysis methods (Accimap and STAMP) by comparing the results of four studies which analysed the same accident (the South Korea Sewol Ferry accident) using two methods. Studies 1 and 2 used Accimap w… Show more

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Cited by 71 publications
(20 citation statements)
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References 39 publications
(56 reference statements)
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“…For example, the “Five Whys” technique is described as a Root Cause Analysis method, despite being more about the investigation (if using Waterson and colleague's distinction), and the Accimap is often referred to in terms of its support for contributory factor identification (hence, investigation; see e.g., Hamim et al, 2020a; Salmon et al, 2020). The confusion between the two concepts is highlighted in the following phrase from an article authored by, among others, Waterson; “the degree to which the accident analysis method successfully identifies the causes of an accident ” (Goncalves Filho et al, 2019, our own emphasis). Although this topic likely merits greater attention than we can give it here, it is sufficient to argue the combination of Accimaps and the whys to be useful to both investigation and analysis, if such a dichotomy exists, as the benefit primarily comes in the structure it gives to creative thinking in the context of causal factor identification and consideration.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the “Five Whys” technique is described as a Root Cause Analysis method, despite being more about the investigation (if using Waterson and colleague's distinction), and the Accimap is often referred to in terms of its support for contributory factor identification (hence, investigation; see e.g., Hamim et al, 2020a; Salmon et al, 2020). The confusion between the two concepts is highlighted in the following phrase from an article authored by, among others, Waterson; “the degree to which the accident analysis method successfully identifies the causes of an accident ” (Goncalves Filho et al, 2019, our own emphasis). Although this topic likely merits greater attention than we can give it here, it is sufficient to argue the combination of Accimaps and the whys to be useful to both investigation and analysis, if such a dichotomy exists, as the benefit primarily comes in the structure it gives to creative thinking in the context of causal factor identification and consideration.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, HFACS was the only method used in this research. While this research was practical, it might be helpful to compare different analytical methods such as 2-4 Model [47], AcciMap [48], STAMP [49], and FRAM [50].…”
Section: Limitationsmentioning
confidence: 99%
“…Accimap is a generic approach and does not use taxonomies (that is different than that of the STPA [2,9]) of failures across the different levels of considered [41]. The Accimap produces less reliable accident analysis results compared to STAMP [42].…”
Section: Accident Modelsmentioning
confidence: 99%
“…Systemic approaches related to complex sociotechnical systems have their own strengths. For one such system, it is better to adopt multiple approaches which supplement each other, even though STAMP is considered much more effective and reliable in understanding accidents and hazard analysis [10,41,42].…”
Section: Accident Modelsmentioning
confidence: 99%