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A tool to predict environmental risk to UK rail infrastructure

A tool to predict environmental risk to UK rail infrastructure
A tool to predict environmental risk to UK rail infrastructure
Researchers from the University of Southampton have collaborated with the rail industry's independent safety body RSSB on a pilot project for a geospatial risk model. The aim was to use the model to analyse and map derailments, suicides and slip, trip and fall risks across the UK rail network, initially in the Wessex region. The research has been extended to incorporate the impact of historic and real-time environmental data on rail risk. This paper presents a detailed description of the investigations, the resulting methodology and a prototype toolkit. The toolkit incorporates environmental conditions combined with rail incident data to help model and predict increased risk in real time.
115-124
Sadler, Jason
857a8e67-cfe3-489b-9f3a-3ccbc0d3930f
Kit, Oleksandr
48dd3a17-16ef-4682-82c8-24950abc0681
Austin, Jeremy
569a0f9b-8129-4649-93f2-b2f09516f53a
Griffin, David
a6313fab-8543-4837-9a84-1993e75528db
Sadler, Jason
857a8e67-cfe3-489b-9f3a-3ccbc0d3930f
Kit, Oleksandr
48dd3a17-16ef-4682-82c8-24950abc0681
Austin, Jeremy
569a0f9b-8129-4649-93f2-b2f09516f53a
Griffin, David
a6313fab-8543-4837-9a84-1993e75528db

Sadler, Jason, Kit, Oleksandr, Austin, Jeremy and Griffin, David (2018) A tool to predict environmental risk to UK rail infrastructure. Proceedings of the Institution of Civil Engineers - Transport, 171 (2), 115-124. (doi:10.1680/jtran.16.00027).

Record type: Article

Abstract

Researchers from the University of Southampton have collaborated with the rail industry's independent safety body RSSB on a pilot project for a geospatial risk model. The aim was to use the model to analyse and map derailments, suicides and slip, trip and fall risks across the UK rail network, initially in the Wessex region. The research has been extended to incorporate the impact of historic and real-time environmental data on rail risk. This paper presents a detailed description of the investigations, the resulting methodology and a prototype toolkit. The toolkit incorporates environmental conditions combined with rail incident data to help model and predict increased risk in real time.

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GeoData_EnvironmentalRisk_Final_v3 - Accepted Manuscript
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Accepted/In Press date: 22 March 2017
e-pub ahead of print date: 10 May 2017
Published date: April 2018

Identifiers

Local EPrints ID: 412247
URI: http://eprints.soton.ac.uk/id/eprint/412247
PURE UUID: 30ab9263-940b-4d4b-8afe-07e528257506
ORCID for Jason Sadler: ORCID iD orcid.org/0000-0001-8260-6812

Catalogue record

Date deposited: 14 Jul 2017 16:30
Last modified: 18 Feb 2021 16:41

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