2019
DOI: 10.1016/j.apergo.2018.12.011
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A hybrid human and organisational analysis method for railway accidents based on STAMP-HFACS and human information processing

Abstract: Safety is a constant priority for the railway industry and there are numerous hazards in and around the rail system which may result in damage to train and environment, human injury and fatalities. Low levels of human and organisational performance have been shown to be a prime cause of railway accidents and a number of accident models and methods have been developed in order to probe deeper into the role played by organisational factors in accident causation. The Systems-Theoretical Accident Modelling and Pro… Show more

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Cited by 72 publications
(28 citation statements)
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“…To date, there have been numerous projects studying human error in accidents, such as those by [9][10][11] and [12]. At present, the Human Factors Analysis and Classification System (HFACS) is a human error analysis method that is able to assist investigators in the identification of human and organisational factors [13].…”
Section: Introductionmentioning
confidence: 99%
“…To date, there have been numerous projects studying human error in accidents, such as those by [9][10][11] and [12]. At present, the Human Factors Analysis and Classification System (HFACS) is a human error analysis method that is able to assist investigators in the identification of human and organisational factors [13].…”
Section: Introductionmentioning
confidence: 99%
“…e most important is that the STAMP model concerns the interactions of components and systems. As the tower crane safety system is a complex system [30,31]. STPA is utilized for system hazard analysis, whereas CAST is utilized for accident cause analysis [32].…”
Section: Hazard Analysismentioning
confidence: 99%
“…The idea of classification and stratification of HOFs was very popular in various industries and made Reason's SCM of practical significance. HFACS is widely used in accident investigations in many industries, with some transformations to make it consistent with the characteristics and actual conditions of various industries, such as the aviation industry [19,20], construction industry [21], railway industry [22,23], shipping industry [24][25][26], oil and gas industry [27], and mining industry [28,29].…”
Section: Literature Reviewmentioning
confidence: 99%