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 and George Bearfield

Journal of Risk and Reliability, 2018, vol. 232, issue 2, 151-163

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.

Keywords: Railway risk; risk analysis; IT transformation; big data risk analysis; Safety Management Intelligence System (SMIS+) (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:232:y:2018:i:2:p:151-163

DOI: 10.1177/1748006X17728210

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