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Abstract
It can be difficult to select from available safety preventative measures, especially where there is limited evidence of effectiveness in different contexts. This paper describes application of a method to identify and evaluate wide-ranging preventative measures for rail suicide and trespass fatalities. Evidence from literature and industry sources was collated and reviewed in a two stage process to achieve consensus among experts on the likely effects of the measures and factors influencing their implementation. Multiple evaluation criteria were used to examine the measures from different perspectives. Fencing, awareness campaigns and different types of organisational initiatives were recommended for further testing. This is the first time evidence has been collected internationally across such a range of preventative measures. Commentary is provided on using this type of approach to select safety measures from a pool of prevention options, including how re-framing the scope of the exercise could identify alternative options for prevention. Practitioner summary: The findings give insight to how different measures work in different ways and how industry can consider this in strategic initiatives. The method could be used in future studies with different frames of reference (e.g. different timescales, level of ambition and safety context e.g. railway crossings or highway fatalities). Abbreviation: RESTRAIL: REduction of Suicides and Trespasses on RAILway property.
Original document
The different versions of the original document can be found in:
- https://doi.org/10.1080/00140139.2018.1485970,
- http://www.scopus.com/inward/record.url?scp=85055719389&partnerID=8YFLogxK
- https://hal.archives-ouvertes.fr/hal-02066849/document,
- https://hal.archives-ouvertes.fr/hal-02066849/file/doc00030270.pdf
- https://pubmed.ncbi.nlm.nih.gov/29884104,
- https://www.ncbi.nlm.nih.gov/pubmed/29884104,
- http://eprints.nottingham.ac.uk/52191,
- https://cris.vtt.fi/en/publications/collecting-evidence-from-distributed-sources-to-evaluate-railway--2,
- https://epub.ub.uni-muenchen.de/63158/index.html,
- https://academic.microsoft.com/#/detail/2805040983
Document information
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1080/00140139.2018.1485970
Licence: CC BY-NC-SA license
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