While aviation safety management is best where hazards are named and available to be modeled and rehearsed, recent disruptions suggest that event size, coupling, and timing can fall outside planning parameters. This research revisits and narrows the focus on a multiple-case analysis of 10 aviation-relevant disruptions that occurred between 2001 and 2024 to explore the utility of the approach when the scenario catalogue is incomplete. Cases were coded through the utilization of public after-action material and pre-event artifacts, such as scenario catalogues, standard operating procedures, and exercise records when publicly accessible. For five cases, hazard-specific planning was not evidenced in the reviewed record; two were partially modeled and three were fully modeled. Across the sample, repeated response gaps included weak situational awareness, rigid command structures, single-point logistical dependencies, and slow interagency coordination. The analysis also identified three capability anchors for audit and future testing: rehearsed authority migration, rapid common-operating-picture formation, and pre-negotiated mutual aid; it did not test an anchor-versus-impact association. The resulting Scenario-Independent Readiness (SIR) checklist translates these anchors into audit-ready indicators that can be added to safety-management-system reviews without displacing scenario-specific controls. The findings support analytic rather than statistical generalization and should be tested through independent audits and simulations. The contribution is a safety-science framing of zero-day aviation preparedness as a sociotechnical capability at the interface of people, organizations, and digital infrastructures.
References
[1]
Glette-Iversen, I. and Aven, T. (2021) On the Meaning of and Relationship between Dragon-Kings, Black Swans and Related Concepts. ReliabilityEngineering&SystemSafety, 211, Article 107625. https://doi.org/10.1016/j.ress.2021.107625
[2]
Mentges, A., Halekotte, L., Schneider, M., Demmer, T. and Lichte, D. (2023) A Resilience Glossary Shaped by Context: Reviewing Resilience-Related Terms for Critical Infrastructures. InternationalJournalofDisasterRiskReduction, 96, Article 103893. https://doi.org/10.1016/j.ijdrr.2023.103893
[3]
Ranasinghe, U., Jefferies, M., Davis, P. and Pillay, M. (2020) Resilience Engineering Indicators and Safety Management: A Systematic Review. SafetyandHealthatWork, 11, 127-135. https://doi.org/10.1016/j.shaw.2020.03.009
[4]
Ketelaars, E., Gaudin, C., Flandin, S. and Poizat, G. (2024) Resilience Training for Critical Situation Management. An Umbrella and a Systematic Literature Review. SafetyScience, 170, Article 106311. https://doi.org/10.1016/j.ssci.2023.106311
[5]
Steen, R., Norman, J.E., Bergstr?m, J. and Damm, G.F. (2024) Dark Knights: Exploring Resilience and Hidden Workarounds in Commercial Aviation through Mixed Methods. SafetyScience, 175, Article 106498. https://doi.org/10.1016/j.ssci.2024.106498
[6]
Mezentseva, A., Gracia, F.J., Silla, I. and Martínez-Córcoles, M. (2023) The Role of Empowering Leadership, Safety Culture and Safety Climate in the Prediction of Mindful Organizing in an Air Traffic Management Company. SafetyScience, 168, Article 106321. https://doi.org/10.1016/j.ssci.2023.106321
[7]
Roud, E. (2021) Collective Improvisation in Emergency Response. SafetyScience, 135, Article 105104. https://doi.org/10.1016/j.ssci.2020.105104
[8]
Sun, X., Wandelt, S. and Zhang, A. (2022) COVID-19 Pandemic and Air Transportation: Summary of Recent Research, Policy Consideration and Future Research Directions. TransportationResearchInterdisciplinaryPerspectives, 16, Article 100718. https://doi.org/10.1016/j.trip.2022.100718
[9]
Bauranov, A., Parks, S., Jiang, X., Rakas, J. and González, M.C. (2021) Quantifying the Resilience of the U.S. Domestic Aviation Network during the COVID-19 Pandemic. FrontiersinBuiltEnvironment, 7, Article ID: 642295. https://doi.org/10.3389/fbuil.2021.642295
[10]
Guo, J., Yang, Z., Zhong, Q., Sun, X. and Wang, Y. (2023) A Novel Resilience Analysis Methodology for Airport Networks System from the Perspective of Different Epidemic Prevention and Control Policy Responses. PLOSONE, 18, e0281950. https://doi.org/10.1371/journal.pone.0281950
[11]
Mizrak, F. and Reyhan Akkartal, G. (2024) Prioritizing Cybersecurity Initiatives in Aviation: A DEMATEL-QSFS Methodology. Heliyon, 10, e35487. https://doi.org/10.1016/j.heliyon.2024.e35487
[12]
Ukwandu, E., Ben-Farah, M.A., Hindy, H., Bures, M., Atkinson, R., Tachtatzis, C., et al. (2022) Cyber-Security Challenges in Aviation Industry: A Review of Current and Future Trends. Information, 13, Article 146. https://doi.org/10.3390/info13030146
[13]
Piekert, F., Schaper, M., Stelkens-Kobsch, T.H., Predescu, A., Günther, Y. and Carstengerdes, N. (2024) Mitigation of Operational Impacts on Airports by Early Awareness of Malicious Events Impacting Linked Critical Infrastructures. JournaloftheAirTransportResearchSociety, 2, Article 100011. https://doi.org/10.1016/j.jatrs.2024.100011
[14]
Korkmaz, M., Zulfikar, A.C. and Demirkesen, S. (2024) Leveraging Digital Twins as a Common Operating Picture for Disaster Management: Case of Seismic Hazards. ISPRSInternationalJournalofGeo-Information, 13, Article 430. https://doi.org/10.3390/ijgi13120430
[15]
Quint?o, C., Andrade, P. and Almeida, F. (2020) How to Improve the Validity and Reliability of a Case Study Approach? JournalofInterdisciplinaryStudiesinEducation, 9, 273-284. https://doi.org/10.32674/jise.v9i2.2026
[16]
O’Connor, C. and Joffe, H. (2020) Intercoder Reliability in Qualitative Research: Debates and Practical Guidelines. InternationalJournalofQualitativeMethods, 19, 1-13.
[17]
Santos-Reyes, J. (2025) Planning for the Unexpected: Exploring the 2024 Global IT Outage (GITO) Impact on Critical Infrastructures. SustainableFutures, 9, Article 100480. https://doi.org/10.1016/j.sftr.2025.100480