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Contrasting safety assessments of a runway incursion scenario: Event sequence analysis versus multi-agent dynamic risk modelling

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  • Stroeve, Sybert H.
  • Blom, Henk A.P.
  • Bakker, G.J. (Bert)

Abstract

In the safety literature it has been argued, that in a complex socio-technical system safety cannot be well analysed by event sequence based approaches, but requires to capture the complex interactions and performance variability of the socio-technical system. In order to evaluate the quantitative and practical consequences of these arguments, this study compares two approaches to assess accident risk of an example safety critical sociotechnical system. It contrasts an event sequence based assessment with a multi-agent dynamic risk model (MA-DRM) based assessment, both of which are performed for a particular runway incursion scenario. The event sequence analysis uses the well-known event tree modelling formalism and the MA-DRM based approach combines agent based modelling, hybrid Petri nets and rare event Monte Carlo simulation. The comparison addresses qualitative and quantitative differences in the methods, attained risk levels, and in the prime factors influencing the safety of the operation. The assessments show considerable differences in the accident risk implications of the performance of human operators and technical systems in the runway incursion scenario. In contrast with the event sequence based results, the MA-DRM based results show that the accident risk is not manifest from the performance of and relations between individual human operators and technical systems. Instead, the safety risk emerges from the totality of the performance and interactions in the agent based model of the safety critical operation considered, which coincides very well with the argumentation in the safety literature.

Suggested Citation

  • Stroeve, Sybert H. & Blom, Henk A.P. & Bakker, G.J. (Bert), 2013. "Contrasting safety assessments of a runway incursion scenario: Event sequence analysis versus multi-agent dynamic risk modelling," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 133-149.
  • Handle: RePEc:eee:reensy:v:109:y:2013:i:c:p:133-149
    DOI: 10.1016/j.ress.2012.07.002
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    References listed on IDEAS

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    1. Sadou, Nabil & Demmou, Hamid, 2009. "Reliability analysis of discrete event dynamic systems with Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1848-1861.
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    5. Bouali, Mohamed & Barger, Pavol & Schon, Walter, 2012. "Backward reachability of Colored Petri Nets for systems diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 1-14.
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    Cited by:

    1. Rae, Andrew & Alexander, Rob & McDermid, John, 2014. "Fixing the cracks in the crystal ball: A maturity model for quantitative risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 67-81.
    2. Skorupski, Jacek, 2015. "The risk of an air accident as a result of a serious incident of the hybrid type," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 37-52.
    3. Delgado, Luis & Gurtner, Gérald & Mazzarisi, Piero & Zaoli, Silvia & Valput, Damir & Cook, Andrew & Lillo, Fabrizio, 2021. "Network-wide assessment of ATM mechanisms using an agent-based model," Journal of Air Transport Management, Elsevier, vol. 95(C).
    4. Ke Niu & Wenbo Liu & Jia Zhang & Mengxuan Liang & Huimin Li & Yaqiong Zhang & Yihang Du, 2023. "A Task Complexity Analysis Method to Study the Emergency Situation under Automated Metro System," IJERPH, MDPI, vol. 20(3), pages 1-19, January.
    5. Stroeve, Sybert H. & Som, Pradip & van Doorn, Bas A. & (Bert) Bakker, G.J., 2016. "Strengthening air traffic safety management by moving from outcome-based towards risk-based evaluation of runway incursions," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 93-108.
    6. Lai, Hsueh-Yi & Chen, Chun-Hsien & Zheng, Pai & Khoo, Li Pheng, 2020. "Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    7. Gholamizadeh, Kamran & Zarei, Esmaeil & Yazdi, Mohammad & Ramezanifar, Ehsan & Aliabadi, Mostafa Mirzaei, 2024. "A hybrid model for dynamic analysis of domino effects in chemical process industries," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Bris, Radim & Medonos, Sava & Wilkins, Chris & Zdráhala, Adam, 2014. "Time-dependent risk modeling of accidental events and responses in process industries," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 54-66.
    9. Chen, Chao & Reniers, Genserik & Khakzad, Nima, 2021. "A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    10. Chikha, Paulina & Skorupski, Jacek, 2022. "The risk of an airport traffic accident in the context of the ground handling personnel performance," Journal of Air Transport Management, Elsevier, vol. 105(C).

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