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Complexity on the rails: A systems-based approach to understanding safety management in rail transport

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  • Read, G.J.M.
  • Naweed, A.
  • Salmon, P.M.

Abstract

Rail transport is a complex, safety-critical system which experiences catastrophic events. Systems theory-based approaches have been applied to understand risk and safety management in a range of safety-critical domains, however in rail, systems approaches have tended to be applied for accident analysis, rather than to describe how risk and safety is proactively managed. This study involved the development of a control structure model of rail transport in Australia using the Systems Theoretic Accident Model and Processes (STAMP) method. The control structure identifies the actors involved in managing safety, and shows the control and feedback mechanisms that comprise the adaptive feedback function to maintain safety. The control structure was refined in a participative process involving subject matter experts. Insights identified for improving safety management included: a need to improve feedback mechanisms to better understand the effectiveness of control measures; a lack of formal controls at higher levels of the system; and a focus within current feedback mechanisms on failures rather than understanding and learning from normal performance. Opportunities for applying the model in industry practice are also explored.

Suggested Citation

  • Read, G.J.M. & Naweed, A. & Salmon, P.M., 2019. "Complexity on the rails: A systems-based approach to understanding safety management in rail transport," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 352-365.
  • Handle: RePEc:eee:reensy:v:188:y:2019:i:c:p:352-365
    DOI: 10.1016/j.ress.2019.03.038
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    References listed on IDEAS

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    1. Patriarca, Riccardo & Bergström, Johan & Di Gravio, Giulio, 2017. "Defining the functional resonance analysis space: Combining Abstraction Hierarchy and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 34-46.
    2. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    4. Raben, Ditte Caroline & Bogh, Søren Bie & Viskum, Birgit & Mikkelsen, Kim L. & Hollnagel, Erik, 2018. "Learn from what goes right: A demonstration of a new systematic method for identification of leading indicators in healthcare," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 187-198.
    5. Kontogiannis, Tom & Malakis, Stathis, 2012. "A systemic analysis of patterns of organizational breakdowns in accidents: A case from Helicopter Emergency Medical Service (HEMS) operations," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 193-208.
    6. Wróbel, Krzysztof & Montewka, Jakub & Kujala, Pentti, 2018. "Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 209-224.
    7. Leveson, Nancy, 2015. "A systems approach to risk management through leading safety indicators," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 17-34.
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