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

Author

Listed:
  • Coen van Gulijk
  • Peter Hughes
  • Miguel Figueres-Esteban
  • Rawia El-Rashidy
  • George Bearfield

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.

Suggested Citation

  • Coen van Gulijk & Peter Hughes & Miguel Figueres-Esteban & Rawia El-Rashidy & George Bearfield, 2018. "The case for IT transformation and big data for safety risk management on the GB railways," Journal of Risk and Reliability, , vol. 232(2), pages 151-163, April.
    • Handle: RePEc:sae:risrel:v:232:y:2018:i:2:p:151-163
    DOI: 10.1177/1748006X17728210
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    References listed on IDEAS

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    1. Garrett Grolemund & Hadley Wickham, 2014. "A Cognitive Interpretation of Data Analysis," International Statistical Review, International Statistical Institute, vol. 82(2), pages 184-204, August.
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    Cited by:

    1. Tan, Samson & Moinuddin, Khalid, 2019. "Systematic review of human and organizational risks for probabilistic risk analysis in high-rise buildings," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 233-250.

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