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Title: A comparison of three systemic accident analysis methods using 46 SPAD (Signals Passed at Danger) incidents
Authors: Dixon, Kate
Waterson, Patrick
Barnes, Jo
Keywords: Human factors
Complex systems
Railway
Signals passed at danger
SPAD
Incident analysis
Reporting
Issue Date: 2017
Publisher: © Springer
Citation: DIXON, K., WATERSON, P. and BARNES, J., 2017. A comparison of three systemic accident analysis methods using 46 SPAD (Signals Passed at Danger) incidents. In: Stanton N. (eds) Advances in Human Aspects of Transportation. AHFE 2017, Springer, Cham, pp. 1097-1108.
Series/Report no.: Advances in Intelligent Systems and Computing; Vol 597
Abstract: During the period 1996-2003 there were five fatal accidents on the UK railway network, three of which were Signals Passed at Danger (SPAD) events (Watford Junction, 1996; Southall, 1997; Ladbroke Grove, 1999). SPAD events vary in severity and whilst most are not fatal there is the potential to cause serious injuries to passengers and train staff and damage to railway infra-structure. This paper investigates how the current system accident analysis tool used within the railway, the Incident Factor Classification System (IFCS) identifies and analyses causal factors of SPAD events. To evaluate the effectiveness IFCS was used to analysis SPAD incident reports (n=46) and the outputs were compared with two systemic accident analysis methods and relevant outputs (the Human Factors Analysis and Classification System – HFACS and Acci-Maps). The initial reporting process proved to hinder all systemic accident analysis methods in the extraction of causal factors. However, once extracted, all system accident analysis methods were successful in categorizing causal factors and demonstrated various outputs to illustrate the findings.
Description: This paper was presented at the 8th International Conference on Applied Human Factors and Ergonomics (AHFE), Los Angeles, 17-21th July. This paper is in closed access until 27th June 2018.
Version: Accepted for publication
DOI: 10.1007/978-3-319-60441-1_103
URI: https://dspace.lboro.ac.uk/2134/24654
Publisher Link: https://doi.org/10.1007/978-3-319-60441-1_103
ISBN: 9783319632926
ISSN: 2194-5357
Appears in Collections:Closed Access (Design School)

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