Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 258511-226450-1293
- Type
- D - Journal article
- DOI
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10.1016/j.aap.2016.08.023
- Title of journal
- Accident Analysis and Prevention
- Article number
- -
- First page
- 122
- Volume
- 97
- Issue
- -
- ISSN
- 0001-4575
- Open access status
- Technical exception
- Month of publication
- September
- Year of publication
- 2016
- URL
-
https://doi.org/10.1016/j.aap.2016.08.023
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Minor railway safety of the line (SotL) incidents cause significant disruption and indicate more serious safety risks. SotL events are underexamined, however, in comparison to major rail accidents. This paper takes a systematic approach to analysing 78 SotL events using the HFACS (Human Factors Accident Classification System) methodology. The paper is significant in that it identifies causal mechanisms behind SotL events and highlights issues with rail SotL reporting. The work extends the widely-used HFACS method, and offers guidance on rigorous HFACS inter-rater reliability. The generated knowledge contributed to the Rail Accident Investigation Branch class investigation of signaller performance.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -