The case for IT transformation and big data for safety risk management on the GB railways

Coen Van Gulijk, Peter Hughes, Miguel Figueres Esteban, Rawia El Rashidy, George Bearfield

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This article presents the case for IT transformation and big data for safety risk management on the GB railways. This article explains why the interest in data-driven safety solutions is very high in the railways by describing the drivers that shape risk management for the railways. A brief overview of research projects in the big data risk analysis programme supports the case and helps understand the research agenda for the transformation of safety and risk on the GB railways. The drivers and the projects provide insight in the current research needs for the transformation and explains why safety researchers have to broaden their skill set to include digital skills and potentially even programming. The case for IT transformation of risk management systems is compelling, and this article describes just the tip of the iceberg of opportunities opening up for safety analysis that, after all, depends on data.

Original languageEnglish
Pages (from-to)151-163
Number of pages13
JournalProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Volume232
Issue number2
Early online date28 Mar 2018
DOIs
Publication statusPublished - 1 Apr 2018

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