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A review of research on risk and safety modelling in civil aviation

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  • Netjasov, Fedja
  • Janic, Milan

Abstract

Safety is considered as some of the most important operational characteristics of contemporary civil aviation. An extensive regulatory structure has been established to supplement the private airline, airport and air navigation systems, incentives to limit the risks of flying. This paper reviews the research on risk and safety modelling in civil aviation. In such a context, the basic concepts and definitions of risk, safety and their evaluation are described. The review focuses on four categories of models for safety assessment: causal for aircraft and air traffic control/management operations, collision risk, human factor error and third-party risk.

Suggested Citation

  • Netjasov, Fedja & Janic, Milan, 2008. "A review of research on risk and safety modelling in civil aviation," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 213-220.
  • Handle: RePEc:eee:jaitra:v:14:y:2008:i:4:p:213-220
    DOI: 10.1016/j.jairtraman.2008.04.008
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    Cited by:

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    5. M Baldauf & K Benedict & S Fischer & F Motz & J-U Schröder-Hinrichs, 2011. "Collision avoidance systems in air and maritime traffic," Journal of Risk and Reliability, , vol. 225(3), pages 333-343, September.
    6. Oster, Clinton V. & Strong, John S. & Zorn, C. Kurt, 2013. "Analyzing aviation safety: Problems, challenges, opportunities," Research in Transportation Economics, Elsevier, vol. 43(1), pages 148-164.
    7. Ivano Bongiovanni & Cameron Newton, 2019. "Toward an Epidemiology of Safety and Security Risks: An Organizational Vulnerability Assessment in International Airports," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1281-1297, June.
    8. Fox, Sarah, 2014. "Safety and security: The influence of 9/11 to the EU framework for air carriers and aircraft operators," Research in Transportation Economics, Elsevier, vol. 45(C), pages 24-33.
    9. Bauranov, Aleksandar & Rakas, Jasenka, 2024. "Bayesian network model of aviation safety: Impact of new communication technologies on mid-air collisions," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
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    11. Anders la Cour‐Harbo & Henrik Schiøler, 2019. "Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2499-2513, November.
    12. Naybour, Matthew & Remenyte-Prescott, Rasa & Boyd, Matthew J., 2019. "Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 258-268.
    13. Wang, Lijing & Wang, Yanlong & Chen, Yingchun & Pan, Xing & Zhang, Wenjin & Zhu, Yanzhi, 2020. "Methodology for assessing dependencies between factors influencing airline pilot performance reliability: A case of taxiing tasks," Journal of Air Transport Management, Elsevier, vol. 89(C).
    14. Monika Blišťanová & Michaela Tirpáková & Jozef Galanda, 2022. "Proposal of Risk Identification Methodology Using the Prompt List on the Example of an Air Carrier," Sustainability, MDPI, vol. 14(15), pages 1-20, July.
    15. Fox, Sarah Jane, 2020. "The ‘risk’ of disruptive technology today (A case study of aviation – Enter the drone)," Technology in Society, Elsevier, vol. 62(C).
    16. Pacheco, Ricardo Rodrigues & Fernandes, Elton & Domingos, Eduardo Marques, 2014. "Airport airside safety index," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 86-92.
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