Investigating the impacts of COVID-19 on aviation safety based on occurrences captured through flight data monitoring

References

• Agresti, A. 2002. Categorical Data Analysis. 2nd ed. New York: John Wiley & Sons, Inc.
   Google Scholar
• Ammons, R.B., R.G. Farr, E. Bloch, E. Neumann, M. Dey, R. Marion, and C.H. Ammons. 1958. “Long-Term Retention of Perceptual-Motor Skills.” Journal of Experimental Psychology 55 (4): 318–328. doi:10.1037/h0041893.
   PubMedGoogle Scholar
• Arthur, W., Jr, W. Bennett, Jr, P.L. Stanush, and T.L. McNelly. 1998. “Factors That Influence Skill Decay and Retention: A Quantitative Review and Analysis.” Human Performance 11 (1): 57–101. doi:10.1207/s15327043hup1101_3.
   Web of Science ®Google Scholar
• Barry, D.J. 2021. “Estimating Runway Veer-off Risk Using a Bayesian Network with Flight Data.” Transportation Research Part C: Emerging Technologies 128: 103180. doi:10.1016/j.trc.2021.103180.
   Web of Science ®Google Scholar
• Bromfield, M.A., and S.J. Landry. 2019. “Loss of Control in Flight – Time to Re-Define?” Aiaa Aviation 2019 Forum: American Institute of Aeronautics and Astronautics. doi:10.2514/6.2019-3612.
   Google Scholar
• CAA. 2021. “Safety Notice, Awareness of Skill Fade and Suggested Mitigations.” https://publicapps.caa.co.uk/docs/33/SafetyNotice2021011.pdf
   Google Scholar
• Casner, S.M., R.W. Geven, M.P. Recker, and J.W. Schooler. 2014. “The Retention of Manual Flying Skills in the Automated Cockpit.” Human Factors 56 (8): 1506–1516. doi:10.1177/0018720814535628.
   PubMed Web of Science ®Google Scholar
• Chaves, F. 2020. “Airline Safety Management System Issues: A Practitioner’s Perspective.” Aircraft Engineering and Aerospace Technology 92 (2): 117–127. doi:10.1108/AEAT-11-2018-0280.
   Web of Science ®Google Scholar
• Christidis, P., and A. Christodoulou. 2020. “The Predictive Capacity of Air Travel Patterns during the Global Spread of the Covid-19 Pandemic: Risk, Uncertainty and Randomness.” International Journal of Environmental Research and Public Health 17 (10): 3356. doi:10.3390/ijerph17103356.
   PubMed Web of Science ®Google Scholar
• de Courville, B. 2019. “Breaking Airlines Flight Data Monitoring Barriers: A Pilot’s Perspective.” Paper Presented at the 72nd Annual International Air Safety Summit, Taipei, Taiwan.
   Google Scholar
• Dehais, F., J. Behrend, V. Peysakhovich, M. Causse, and C.D. Wickens. 2017. “Pilot Flying and Pilot Monitoring’s Aircraft State Awareness during Go-around Execution in Aviation: A Behavioral and Eye Tracking Study.” The International Journal of Aerospace Psychology 27 (1–2): 15–28. doi:10.1080/10508414.2017.1366269.
   Web of Science ®Google Scholar
• Dekker, S., P. Cilliers, and J.-H. Hofmeyr. 2011. “The Complexity of Failure: Implications of Complexity Theory for Safety Investigations.” Safety Science 49 (6): 939–945. doi:10.1016/j.ssci.2011.01.008.
   Web of Science ®Google Scholar
• Drinkwater, J.L., and B.R.C. Molesworth. 2010. “Pilot See, Pilot Do: Examining the Predictors of Pilots’ Risk Management Behaviour.” Safety Science 48 (10): 1445–1451. doi:10.1016/j.ssci.2010.07.001.
   Web of Science ®Google Scholar
• EASA. 2016. “Developing Standardised FDM-Based Indicators.” https://www.easa.europa.eu/sites/default/files/dfu/EAFDM__standardised_FDM-based_indicators_v2_Ed2017.pdf
   Google Scholar
• EASA. 2019. “Guidances for the Implementation of FDM-Precursors.” https://www.easa.europa.eu/eofdm-wgb-guidance-implementation-fdm-precursors-revision-3
   Google Scholar
• EASA. 2020. “Safety Issue Report-Skills and Knowledge Degradation Due to Lack of Recent Practice.” https://ifairworthy.com/safety-issue-report-skills-and-knowledge-degradation-due-to-lack-of-recent-practice/
   Google Scholar
• EASA. 2021. Review of Aviation Safety Issues Arising from the Covid-19 Pandemic.” https://www.easa.europa.eu/downloads/127172/en
   Google Scholar
• Ebbatson, M., D. Harris, J. Huddlestone, and R. Sears. 2010. “The Relationship between Manual Handling Performance and Recent Flying Experience in Air Transport Pilots.” Ergonomics 53 (2): 268–277. doi:10.1080/00140130903342349.
   PubMed Web of Science ®Google Scholar
• Elliott, A., and W. Woodward. 2007. “Statistical Analysis Quick Reference Guidebook.” https://methods.sagepub.com/book/statistical-analysis-quick-reference-guidebook doi:10.4135/9781412985949.
   Google Scholar
• Federal Aviation Administration. 2019. “Safety Culture.” https://www.faa.gov/news/safety_briefing/2019/media/JulAug2019.pdf
   Google Scholar
• Fernández, A., D. Martínez, P. Hernández, S. Cristóbal, F. Schwaiger, J. María Nuñez, and J.M. Ruiz. 2019. “Flight Data Monitoring (FDM) Unknown Hazards Detection During Approach Phase Using Clustering Techniques and Autoencoders.” https://www.sesarju.eu/sites/default/files/documents/sid/2019/papers/SIDs_2019_paper_71.pdf
   Google Scholar
• Flight Safety International. 2014. “A Practical Guide for Improving Flight Path Monitoring.” https://flightsafety.org/files/flightpath/EPMG.pdf
   Google Scholar
• Haberman, S.J. 1973. “The Analysis of Residuals in Cross-Classified Tables.” Biometrics 29 (1): 205. doi:10.2307/2529686.
   Web of Science ®Google Scholar
• Hanusch, M. 2017. “Manual Flying Skills – Airline Procedures and Their Effect on Pilot Proficiency.” MSc Air Safety Management, City University of London.
   Google Scholar
• Harris, D., and N.A. Stanton. 2010. “Aviation as a System of Systems: Preface to the Special Issue of Human Factors in Aviation.” Ergonomics 53 (2): 145–148. doi:10.1080/00140130903521587.
   PubMed Web of Science ®Google Scholar
• Haslbeck, A., and H.-J. Hoermann. 2016. “Flying the Needles: Flight Deck Automation Erodes Fine-Motor Flying Skills among Airline Pilots.” Human Factors 58 (4): 533–545. doi:10.1177/0018720816640394.
   PubMed Web of Science ®Google Scholar
• Haslbeck, A., H.-J. Hoermann, and P. Gontar. 2018. “Stirring the Pot: Comparing Stick Input Patterns and Flight-Path Control Strategies in Airline Pilots.” The International Journal of Aerospace Psychology 28 (1–2): 15–30. doi:10.1080/24721840.2018.1481343.
   Web of Science ®Google Scholar
• Haslbeck, A., P. Kirchner, E. Schubert, and K. Bengler. 2014. “A Flight Simulator Study to Evaluate Manual Flying Skills of Airline Pilots.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58 (1): 11–15. doi:10.1177/1541931214581003.
   Google Scholar
• Hendrickson, S.M.L., T.E. Goldsmith, and P.J. Johnson. 2006. “Retention of Airline Pilots’ Knowledge and Skill.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50 (17): 1973–1976. doi:10.1177/154193120605001755.
   Google Scholar
• Hollnagel, E. 2017. Safety–I and Safety–II: The Past and Future of Safety Management. Boca Raton, FL: Routledge. doi:10.1201/9781315607511.
   Google Scholar
• Holtom, M. 2007. “FOQA – Flight Data Analysis of Aircraft for Flight Safety.” https://www.theairlinepilots.com/forumarchive/flightsafety/foqaflightdataanalysis.php
   Google Scholar
• IBM Corp. 2021. IBM SPSS Statistics for Windows (Version 28.0). Armonk, NY: IBM Corp.
   Google Scholar
• International Air Transport Association. 2013. Evidence-Based Training Implementation Guide. 1st ed. https://pdf4pro.com/view/evidence-based-training-implementation-guide-iata-5b2a29.html
   Google Scholar
• International Air Transport Association. 2020. Guidance for Flight Operations During and Post Pandemic. 3rd ed. https://www.iata.org/en/programs/covid-19-resources-guidelines/
   Google Scholar
• International Air Transport Association. 2021. “Safety Report 2020.” https://www.iata.org/en/publications/safety-report/
   Google Scholar
• Jarry, G., D. Delahaye, and E. Feron. 2021. “Flight Safety during Covid-19: A Study of Charles de Gaulle Airport Atypical Energy Approaches.” Transportation Research Interdisciplinary Perspectives 9: 100327. doi:10.1016/j.trip.2021.100327.
   PubMedGoogle Scholar
• Lager, E., and M. Melin. 2022. “Proactive Flight Safety – A Feasibility Study on Optimal Use of Flight Data Monitoring and Incident Reports in an Airline.” International Journal of Occupational Safety and Ergonomics : JOSE 28 (2): 1311–1315. doi:10.1080/10803548.2021.1899608.
   PubMed Web of Science ®Google Scholar
• Leva, M.C., J. Cahill, A.M. Kay, G. Losa, and N. McDonald. 2010. “The Advancement of a New Human Factors Report – ‘The Unique Report’ – Facilitating Flight Crew Auditing of Performance/Operations as Part of an Airline’s Safety Management System.” Ergonomics 53 (2): 164–183. doi:10.1080/00140130903437131.
   PubMed Web of Science ®Google Scholar
• Li, L., R.J. Hansman, R. Palacios, and R. Welsch. 2016. “Anomaly Detection via a Gaussian Mixture Model for Flight Operation and Safety Monitoring.” Transportation Research Part C: Emerging Technologies 64: 45–57. doi:10.1016/j.trc.2016.01.007.
   Web of Science ®Google Scholar
• Li, W.-C., G. Braithwaite, T. Wang, M. Yung, and P. Kearney. 2020. “The Benefits of Integrated Eye Tracking with Airborne Image Recorders in the Flight Deck: A Rejected Landing Case Study.” International Journal of Industrial Ergonomics 78: 102982. doi:10.1016/j.ergon.2020.102982.
   Web of Science ®Google Scholar
• Li, W.-C., D. Harris, and C.-S. Yu. 2008. “Routes to Failure: Analysis of 41 Civil Aviation Accidents from the Republic of china Using the Human Factors Analysis and Classification System.” Accident; Analysis and Prevention 40 (2): 426–434. doi:10.1016/j.aap.2007.07.011.
   PubMed Web of Science ®Google Scholar
• Lyall, B., and C.D. Wickens. 2005. “Mixed Fleet Flying between Two Commercial Aircraft Types: An Empirical Evaluation of the Role of Negative Transfer.” Paper Presented at the Human Factors and Ergonomics Society Annual Meeting, Orlando, Florida.
   Google Scholar
• Maille, N. 2015. “On the Use of Flight Operating Procedures for the Analysis of FOQA Data.” Paper Presented at the 6th European Conference for Aeronautics and Space Sciences (EUCASS), Krakow, Poland.
   Google Scholar
• Matthews, B., S. Das, K. Bhaduri, K. Das, R. Martin, and N. Oza. 2014. “Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.” Journal of Aerospace Information Systems 11 (7): 482–482. doi:10.2514/1.I010211.
   Web of Science ®Google Scholar
• Miller, C.J. 2020. “Six Months into the Pandemic, It’s Even Worse for Airlines than We Thought – The Air Current.” https://theaircurrent.com/analysis/six-months-into-the-pandemic-its-even-worse-for-airlines-than-we-thought/
   Google Scholar
• O'Leary, M. 2002. “The British Airways Human Factors Reporting Programme.” Reliability Engineering & System Safety 75 (2): 245–255. (01)00098-9. doi:10.1016/S0951-8320.
   Web of Science ®Google Scholar
• Oehling, J., and D.J. Barry. 2019. “Using Machine Learning Methods in Airline Flight Data Monitoring to Generate New Operational Safety Knowledge from Existing Data.” Safety Science 114: 89–104. doi:10.1016/j.ssci.2018.12.018.
   Web of Science ®Google Scholar
• Olaganathan, R., and R.A.H. Amihan. 2021. “Impact of Covid-19 on Pilot Proficiency – A Risk Analysis.” Global Journal of Engineering and Technology Advances 6 (3): 001–013. doi:10.30574/gjeta.2021.6.3.0023.
   Google Scholar
• Orasanu, J., U. Fischer, and J. Davison. 2002. “Risk Perception: A Critical Element of Aviation Safety.” IFAC Proceedings Volumes 35 (1): 49–58. doi:10.3182/20020721-6-ES-1901.01639.
   Google Scholar
• Rasmussen, J. 1983. “Skills, Rules, and Knowledge; Signals, Signs, and Symbols, and Other Distinctions in Human Performance Models.” IEEE Transactions on Systems, Man, and Cybernetics SMC-13 (3): 257–266. doi:10.1109/TSMC.1983.6313160.
   Web of Science ®Google Scholar
• Reason, J. 1990. Human Error. Cambridge: Cambridge University Press.
   Google Scholar
• Reason, J. 2016. Managing the Risks of Organizational Accidents. London: Routledge.
   Google Scholar
• Schultz, M., S. Lorenz, R. Schmitz, and L. Delgado. 2018. “Weather Impact on Airport Performance.” Aerospace 5 (4): 109. doi:10.3390/aerospace5040109.
   Web of Science ®Google Scholar
• Sikora, I., B.L. Hari, and M. Hanusch. 2020. “Human Factors Approaches and Models in LOC-I Accident Analysis and Prevention: Flight Crew Resource Management Techniques as a Risk Mitigation Tool.” International Journal of Safety and Security Engineering 10 (3): 301–310. doi:10.18280/ijsse.100301.
   Google Scholar
• Smart, E., D. Brown, and J. Denman. 2012. “A Two-Phase Method of Detecting Abnormalities in Aircraft Flight Data and Ranking Their Impact on Individual Flights.” IEEE Transactions on Intelligent Transportation Systems 13 (3): 1253–1265. doi:10.1109/TITS.2012.2188391.
   Web of Science ®Google Scholar
• Soo, K., T.J. Mavin, and W.-M. Roth. 2016. “Mixed-Fleet Flying in Commercial Aviation: A Joint Cognitive Systems Perspective.” Cognition, Technology & Work 18 (3): 449–463. doi:10.1007/s10111-016-0381-3.
   Web of Science ®Google Scholar
• Stogsdill, M. 2022. “When Outcomes Are Not Enough: An Examination of Abductive and Deductive Logical Approaches to Risk Analysis in Aviation.” Risk Analysis 42 (8): 1806–1814. doi:10.1111/risa.13681.
   PubMed Web of Science ®Google Scholar
• Sumwalt, R., D. Cross, and D. Lessard. 2015. “Examining How Breakdowns in Pilot Monitoring of the Aircraft Flight Path.” International Journal of Aviation, Aeronautics, and Aerospace 2 (3): 1063. doi:10.15394/ijaaa.2015.1063.
   Google Scholar
• Walker, G. 2017. “Redefining the Incidents to Learn from: Safety Science Insights Acquired on the Journey from Black Boxes to Flight Data Monitoring.” Safety Science 99: 14–22. doi:10.1016/j.ssci.2017.05.010.
   Web of Science ®Google Scholar
• Wang, L., J. Zhang, C. Dong, H. Sun, and Y. Ren. 2019. “A Method of Applying Flight Data to Evaluate Landing Operation Performance.” Ergonomics 62 (2): 171–180. doi:10.1080/00140139.2018.1502806.
   PubMed Web of Science ®Google Scholar
• Werfelman, L. 2021. “Unpracticed. Flight Safety Foundation.” https://flightsafety.org/asw-article/unpracticed/
   Google Scholar