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Strengthening air traffic safety management by moving from outcome-based towards risk-based evaluation of runway incursions

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  • Stroeve, Sybert H.
  • Som, Pradip
  • van Doorn, Bas A.
  • (Bert) Bakker, G.J.

Abstract

Current safety management of aerodrome operations uses judgements of severity categories to evaluate runway incursions. Incident data show a small minority of severe incursions and a large majority of less severe incursions. We show that these severity judgements are mainly based upon the outcomes of runway incursions, in particular on the closest distances attained. As such, the severity-based evaluation leads to coincidental safety management feedback, wherein causes and risk implications of runway incursions are not well considered. In this paper we present a new framework for the evaluation of runway incursions, which effectively uses all runway incursions, which judges same types of causes similarly, and which structures causes and risk implications. The framework is based on risks of scenarios associated with the initiation of runway incursions. As a basis an inventory of scenarios is provided, which can represent almost all runway incursions involving a conflict with an aircraft. A main step in the framework is the assessment of the conditional probability of a collision given a runway incursion scenario. This can be effectively achieved for large sets of scenarios by agent-based dynamic risk modelling. The results provide detailed feedback on risks of runway incursion scenarios, thus enabling effective safety management.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:reensy:v:147:y:2016:i:c:p:93-108
    DOI: 10.1016/j.ress.2015.11.003
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    References listed on IDEAS

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    1. Cooke, Roger M. & Goossens, Louis L.H.J., 2008. "TU Delft expert judgment data base," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 657-674.
    2. Saleh, Joseph H. & Saltmarsh, Elizabeth A. & Favarò, Francesca M. & Brevault, Loïc, 2013. "Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 148-154.
    3. 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.
    4. Ale, B.J.M. & Bellamy, L.J. & van der Boom, R. & Cooper, J. & Cooke, R.M. & Goossens, L.H.J. & Hale, A.R. & Kurowicka, D. & Morales, O. & Roelen, A.L.C. & Spouge, J., 2009. "Further development of a Causal model for Air Transport Safety (CATS): Building the mathematical heart," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1433-1441.
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    Cited by:

    1. Ewa DUDEK & Karolina KRZYKOWSKA-PIOTROWSKA & Mirosław SIERGIEJCZYK, 2020. "Risk Management In (Air) Transport With Exemplary Risk Analysis Based On The Tolerability Matrix," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 15(2), pages 143-156, June.
    2. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    3. Zhou, Di & Zhuang, Xiao & Zuo, Hongfu & Cai, Jing & Zhao, Xufeng & Xiang, Jiawei, 2022. "A model fusion strategy for identifying aircraft risk using CNN and Att-BiLSTM," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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