Risk and preventing of COVID-19 grounded aircraft-value, risks and resilience: an ongoing debate

References

• Abdelghany, A., & Guzhva, V. S. (2022). Exploratory analysis of air travel demand stimulation in first-time served markets. Journal of Air Transport Management, 98, 102162. https://doi.org/10.1016/j.jairtraman.2021.102162
   Web of Science ®Google Scholar
• Anees-Ur-Rehman, M., Wong, H. Y., & Hossain, M. (2016). The progression of brand orientation literature in twenty years: A systematic literature review. Journal of Brand Management, 23(6), 612–17. https://doi.org/10.1057/s41262-016-0008-2
   Web of Science ®Google Scholar
• Ania, A. E. D., & Joseph, A. A. (2021). COVID-19 and Africa’s aviation and tourism sectors: A new agenda for the future? Tourism Management Perspectives, 100840. https://doi.org/10.1016/j.tmp.2021.100840
   Google Scholar
• Barnhart, C., Boland, N. L., Clarke, L. W., Johnson, E. L., Nemhauser, G. L., & Shenoi, R. G. (1998). Flight string models for aircraft fleeting and routing. Transportation Science, 32(3), 208–220. https://doi.org/10.1287/trsc.32.3.208
   Web of Science ®Google Scholar
• Batenburg, R. (2015). Health workforce planning in Europe: Creating learning country clusters. Health Policy, 119(12), 1537–1544. https://doi.org/10.1016/j.healthpol.2015.10.001
   PubMed Web of Science ®Google Scholar
• Bozkaya, E., Eriskin, L., & Karatas, M. (2022). Data analytics during pandemics: A transportation and location planning perspective. Annals of Operations Research, 328(1), 1–52. https://doi.org/10.1007/s10479-022-04884-0
   Web of Science ®Google Scholar
• Chaisse, J., & Banik, N. (2020). Global Health Law & governance amidst the pandemic: Evidence, lessons, and reforms. Annals of Health Law & Life Sciences, 30(1), 207–269.
   Google Scholar
• Chaudhuri, A., Bhatia, M. S., Kayikci, Y., Fernandes, K. J., & Fosso-Wamba, S. (2021). Improving social sustainability and reducing supply chain risks through blockchain implementation: Role of outcome and behavioural mechanisms. Annals of Operations Research, 327(1), 1–33. https://doi.org/10.1007/s10479-021-04307-6
   Web of Science ®Google Scholar
• Choi, T. M. (2021). Fighting against COVID-19: What operations research can help and the sense-and-respond framework. Annals of Operations Research, 1–17. https://doi.org/10.1007/s10479-021-03973-w
   Web of Science ®Google Scholar
• Czerny, A. I., Fu, X., Lei, Z., & Oum, T. H. (2021). Post pandemic aviation market recovery: Experience and lessons from China. Journal of Air Transport Management, 90, 101971. https://doi.org/10.1016/j.jairtraman.2020.101971
   Web of Science ®Google Scholar
• da Silveira Pereira, D., & de Mello, J. C. C. S. (2021). Efficiency evaluation of Brazilian airlines operations considering the covid-19 outbreak. Journal of Air Transport Management, 91, 101976. https://doi.org/10.1016/j.jairtraman.2020.101976
   PubMed Web of Science ®Google Scholar
• Defossez, D. (2021). Proposed revisions of regulation 261/2004: Endangering passengers’ rights and going against the international trend? Journal of Air Transport Management, 91, 102008. https://doi.org/10.1016/j.jairtraman.2020.102008
   Web of Science ®Google Scholar
• de Oliveira, D. B., Coelho, J. N., Moraes, A. D. O., & Serafini, J. (2021). A simplified model to assess the influence of the configuration of commercial aircraft on boarding and deboarding. International Journal of Aerospace Engineering, 2021, 1–23. https://doi.org/10.1155/2021/8872992
   Web of Science ®Google Scholar
• Deveci, M., & Demirel, N. Ç. (2018). A survey of the literature on airline crew scheduling. Engineering Applications of Artificial Intelligence, 74, 54–69. https://doi.org/10.1016/j.engappai.2018.05.008
   Web of Science ®Google Scholar
• Dewi, D. S., & Septiana, T. (2015). Workforce scheduling considering physical and mental workload: A case study of domestic freight forwarding. Procedia Manufacturing, 4, 445–453. https://doi.org/10.1016/j.promfg.2015.11.061
   Google Scholar
• Dixit, A., & Jakhar, S. K. (2021). Airport capacity management: A review and bibliometric analysis. Journal of Air Transport Management, 91, 102010. https://doi.org/10.1016/j.jairtraman.2020.102010
   Web of Science ®Google Scholar
• Dray, L., & Schäfer, A. W. (2021). Initial long-term scenarios for COVID-19’s impact on aviation and implications for climate policy. Transportation Research Record: Journal of the Transportation Research Board, 204–218. https://doi.org/10.1177/03611981211045067 2677 4
   PubMed Web of Science ®Google Scholar
• Ellis, D., & Jimenez, E. (2022). A comparative strategic analysis of China airlines and EVA Air. Transportation Research Procedia, 65, 283–292. https://doi.org/10.1016/j.trpro.2022.11.033
   Google Scholar
• Epicentre Health Research (HER). (2021). COVID-19 variants explained - what is a new ‘strain’ of COVID-19. https://www.who.int/activities/tracking-SARS-CoV-2-variants
   Google Scholar
• Excoffier, M., Gicquel, C., & Jouini, O. (2016). A joint chance-constrained programming approach for call center workforce scheduling under uncertain call arrival forecasts. Computers & Industrial Engineering, 96, 16–30. https://doi.org/10.1016/j.cie.2016.03.013
   Web of Science ®Google Scholar
• Faust, O., Gönsch, J., & Klein, R. (2017). Demand-oriented integrated scheduling for point-to-point airlines. Transportation Science, 51(1), 196–213. https://doi.org/10.1287/trsc.2016.0693
   Web of Science ®Google Scholar
• Foroudi, P., Akarsu, T. N., Marvi, R., & Balakrishnan, J. (2021). Intellectual evolution of social innovation: A bibliometric analysis and avenues for future research trends. Industrial Marketing Management, 93, 446–465. https://doi.org/10.1016/j.indmarman.2020.03.026
   Web of Science ®Google Scholar
• Fota, N., Everdij, M. H. C., Stroeve, S. H., Kråkenes, T., Herrera, I., Quiñones, J. & Manzo, A. (2014). Using dynamic risk modelling in single European sky air traffic Management Research (SESAR)’. In European Safety and Reliability Conference ESREL, At Wroclaw, Poland.
   Google Scholar
• Gansterer, M., Hartl, R. F., & Wieser, S. (2021). Assignment constraints in shared transportation services. Annals of Operations Research, 305(1), 513–539. https://doi.org/10.1007/s10479-020-03522-x
   PubMed Web of Science ®Google Scholar
• Gopalan, R., & Talluri, K. T. (1998). The aircraft maintenance routing problem. Operations Research, 46(2), 260–271. https://doi.org/10.1287/opre.46.2.260
   Web of Science ®Google Scholar
• Gudmundsson, S. V., Cattaneo, M., & Redondi, R. (2021). Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19. Journal of Air Transport Management, 91, 102007. https://doi.org/10.1016/j.jairtraman.2020.102007
   PubMed Web of Science ®Google Scholar
• Gwynne, S. M. V., Yapa, U. S., Codrington, L., Thomas, J. R., Jennings, S., Thompson, A. J. L., & Grewal, A. (2018). Small-scale trials on passenger microbehaviours during aircraft boarding and deplaning procedures. Journal of Air Transport Management, 67, 115–133. https://doi.org/10.1016/j.jairtraman.2017.11.008
   Web of Science ®Google Scholar
• Hamdan, S., Jouini, O., Cheaitou, A., Jemai, Z., & Granberg, T. A. (2022). On the binary formulation of air traffic flow management problems. Annals of Operations Research, 321(1–2), 1–13. https://doi.org/10.1007/s10479-022-04740-1
   Web of Science ®Google Scholar
• Hanson, D., Delibasi, T. T., Gatti, M., & Cohen, S. (2022). How do changes in economic activity affect air passenger traffic? The use of state-dependent income elasticities to improve aviation forecasts. Journal of Air Transport Management, 98, 102147. https://doi.org/10.1016/j.jairtraman.2021.102147
   Web of Science ®Google Scholar
• Hasegawa, T. (2022). Effects of Novel coronavirus (COVID‐19) on civil aviation: Economic impact analysis. https://www.icao.int/sustainability/Documents/COVID-19/ICAO_Coronavirus_Econ_Impact.pdf
   Google Scholar
• Hoffman, K. L., & Padberg, M. (1993). Solving airline crew scheduling problems by branch-and-cut. Management Science, 39(6), 657–682. https://doi.org/10.1287/mnsc.39.6.657
   Web of Science ®Google Scholar
• Huang, C. N., Liou, J. J., Lo, H. W., & Chang, F. J. (2021). Building an assessment model for measuring airport resilience. Journal of Air Transport Management, 95, 102101. https://doi.org/10.1016/j.jairtraman.2021.102101
   Web of Science ®Google Scholar
• Jorge, D., Ribeiro, N. A., & Antunes, A. P. (2021). Towards a decision-support tool for airport slot allocation: Application to Guarulhos (Sao Paulo, Brazil). Journal of Air Transport Management, 93, 102048. https://doi.org/10.1016/j.jairtraman.2021.102048
   Web of Science ®Google Scholar
• Kabadurmus, O., & Erdogan, M. S. (2020). Sustainable, multimodal and reliable supply chain design. Annals of Operations Research, 292(1), 47–70. https://doi.org/10.1007/s10479-020-03654-0
   Web of Science ®Google Scholar
• Kim, M., & Sohn, J. (2022). Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea. Journal of Air Transport Management, 98, 102144. https://doi.org/10.1016/j.jairtraman.2021.102144
   PubMed Web of Science ®Google Scholar
• Kletzander, L., Musliu, N., & Smith-Miles, K. (2021). Instance space analysis for a personnel scheduling problem. Annals of Mathematics and Artificial Intelligence, 89(7), 617–637. https://doi.org/10.1007/s10472-020-09695-2
   Web of Science ®Google Scholar
• Laing, T. (2020). The economic impact of the coronavirus 2019 (covid-2019): Implications for the mining industry. The Extractive Industries and Society, 7(2), 580–582. https://doi.org/10.1016/j.exis.2020.04.003
   PubMedGoogle Scholar
• Law, K. L., & Narayan, R. (2022). Reducing environmental plastic pollution by designing polymer materials for managed end-of-life. Nature Reviews Materials, 7(2), 104–116. https://doi.org/10.1038/s41578-021-00382-0
   Web of Science ®Google Scholar
• Leandro, F., Andrade, A. R., & Kalakou, S. (2021). Designing aviation networks under public service Obligations (PSO): A case study in Greece. Journal of Air Transport Management, 93, 102042. https://doi.org/10.1016/j.jairtraman.2021.102042
   Web of Science ®Google Scholar
• Liang, Z., & Chaovalitwongse, W. A. (2012). A multicast problem with shared risk cost. Optimization Letters, 6(3), 571–584. https://doi.org/10.1007/s11590-011-0283-5
   Web of Science ®Google Scholar
• Lohatepanont, M., & Barnhart, C. (2004). Airline schedule planning: Integrated models and algorithms for schedule design and fleet assignment. Transportation Science, 38(1), 19–32. https://doi.org/10.1287/trsc.1030.0026
   Web of Science ®Google Scholar
• Mai, D. T. T. (2021). Revising the EU ETS and CORSIA in times of the COVID-19 pandemic: Challenges for reducing global aviation emissions. Climate Policy, 21(10), 1357–1367. https://doi.org/10.1080/14693062.2021.1966358
   Web of Science ®Google Scholar
• Merkert, R. (2023). The impact of engine standardization on the cost efficiency of airlines. Research in Transportation Business & Management, 46, 100797. https://doi.org/10.1016/j.rtbm.2022.100797
   Web of Science ®Google Scholar
• Merkert, R., & Swidan, H. (2019). Flying with(out) a safety net: Financial hedging in the airline industry. Transportation Research Part E, 127, 206–219. https://doi.org/10.1016/j.tre.2019.05.012
   Google Scholar
• Mhlanga, O. (2019). Impacts of the macro environment on airline performances in southern Africa: Management perspectives. Tourism and Hospitality Research, 19(4), 439–451. https://doi.org/10.1177/1467358418771442
   Web of Science ®Google Scholar
• Ng, D. T. K., Su, J., & Ng, R. C. W. (2023). Fostering non-aviation undergraduates’ aviation literacy in an online aviation laboratory: Effects on students’ perceptions, motivation, industry optimism. Journal of Computing in Higher Education, 35(2), 1–28. https://doi.org/10.1007/s12528-023-09367-0
   PubMed Web of Science ®Google Scholar
• Nguyen, T. P. (2020). Evaluation of network reliability for stochastic-flow air transportation network considering discounted fares from airlines. Annals of Operations Research, 311(1), 1–21. https://doi.org/10.1007/s10479-019-03509-3
   Web of Science ®Google Scholar
• Papadakos, N. (2009). Integrated airline scheduling. Computers & Operations Research, 36(1), 176–195. https://doi.org/10.1016/j.cor.2007.08.002
   Web of Science ®Google Scholar
• Pushparaj, K., Ky, G., Ayeni, A. J., Alam, S., & Duong, V. N. (2021). A quantum-inspired model for human-automation trust in air traffic controllers derived from functional Magnetic Resonance imaging and correlated with behavioural indicators. Journal of Air Transport Management, 97, 102143. https://doi.org/10.1016/j.jairtraman.2021.102143
   Web of Science ®Google Scholar
• Qi, X., Bard, J. F., & Yu, G. (2004). Class scheduling for pilot training. Operations Research, 52(1), 148–162. https://doi.org/10.1287/opre.1030.0076
   Web of Science ®Google Scholar
• Ripoll-Zarraga, A. E., & Lozano, S. (2020). A centralised DEA approach to resource reallocation in Spanish airports. Annals of Operations Research, 288(2), 701–732. https://doi.org/10.1007/s10479-019-03271-6
   Web of Science ®Google Scholar
• Santos, K., & Delina, L. (2021). Soaring sustainably: Promoting the uptake of sustainable aviation fuels during and post-pandemic. Energy Research & Social Science, 77, 102074. https://doi.org/10.1016/j.erss.2021.102074
   Web of Science ®Google Scholar
• Scardaoni, M. P., Magnacca, F., Massai, A., & Cipolla, V. (2021). Aircraft turnaround time estimation in early design phases: Simulation tools development and application to the case of box-wing architecture. Journal of Air Transport Management, 96, 102122. https://doi.org/10.1016/j.jairtraman.2021.102122
   Web of Science ®Google Scholar
• Schultz, M. (2017). The seat interference potential as an indicator for the aircraft boarding progress. SAE Technical Paper, 01–2113. https://doi.org/10.4271/2017-01-2113
   Google Scholar
• Sharma, G. D., Thomas, A., & Paul, J. (2021). Reviving tourism industry post-COVID-19: A resilience-based framework. Tourism Management Perspectives, 37, 100786. https://doi.org/10.1016/j.tmp.2020.100786
   PubMed Web of Science ®Google Scholar
• Sherali, H. D., Bish, E. K., & Zhu, X. (2006). Airline fleet assignment concepts, models, and algorithms. European Journal of Operational Research, 172(1), 1–30. https://doi.org/10.1016/j.ejor.2005.01.056
   Web of Science ®Google Scholar
• Shin, Y., Lee, E. J., & Hur, W. M. (2022). Supervisor incivility, job insecurity, and service performance among flight attendants: The buffering role of co-worker support. Current Issues in Tourism, 25(6), 901–918. https://doi.org/10.1080/13683500.2021.1905618
   Web of Science ®Google Scholar
• Sing, S. (2020). Airlines expected to lose $84.3 billion in 2020 due to COVID-19: Industry body. https://www.ndtv.com/business/coronavirus-crisis-airlines-expected-to-lose-84-3-billion-due-to-covid-19-says-industry-body-iata-2243659
   Google Scholar
• Singh, J., Rana, S., Abdul Hamid, A. B., & Gupta, P. (2023). Who should hold the baton of aviation sustainability? Social Responsibility Journal, 19(7), 1161–1177. https://doi.org/10.1108/SRJ-05-2021-0181
   Web of Science ®Google Scholar
• Stamolampros, P., & Korfiatis, N. (2019). Airline service quality and economic factors: An ARDL approach on US airlines. Journal of Air Transport Management, 77, 14–31. https://doi.org/10.1016/j.jairtraman.2019.03.002
   Web of Science ®Google Scholar
• Suau-Sanchez, P., Voltes-Dorta, A., & Cugueró-Escofet, N. (2020). An early assessment of the impact of COVID-19 on air transport: Just another crisis or the end of aviation as we know it? Journal of Transport Geography, 86, 102749. https://doi.org/10.1016/j.jtrangeo.2020.102749
   PubMed Web of Science ®Google Scholar
• Sun, X., Wandelt, S., & Zhang, A. (2021). Technological and educational challenges towards pandemic-resilient aviation. Transport Policy, 114, 104–115. https://doi.org/10.1016/j.tranpol.2021.09.010
   PubMed Web of Science ®Google Scholar
• Sun, X., Wandelt, S., Zheng, C., & Zhang, A. (2021). COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane. Journal of Air Transport Management, 94, 102062. https://doi.org/10.1016/j.jairtraman.2021.102062
   PubMed Web of Science ®Google Scholar
• Tabares, D. A. (2021). An airport operations proposal for a pandemic-free air travel. Journal of Air Transport Management, 90, 101943. https://doi.org/10.1016/j.jairtraman.2020.101943
   PubMed Web of Science ®Google Scholar
• Tabares, D. A., Mora-Camino, F., & Drouin, A. (2021). A multi-time scale management structure for airport ground handling automation. Journal of Air Transport Management, 90, 101959. https://doi.org/10.1016/j.jairtraman.2020.101959
   Web of Science ®Google Scholar
• Tang, T. Q., Yang, S. P., Ou, H., Chen, L., & Huang, H. J. (2018). An aircraft boarding model with the group behavior and the quantity of luggage. Transportation Research Part C Emerging Technologies, 93, 115–127. https://doi.org/10.1016/j.trc.2018.05.029
   Web of Science ®Google Scholar
• Tanida, S., & Niari, K. (2021). Arranging the order of passengers on the boarding bridge to reduce the boarding time for single-aisle aircraft. arXiv preprint arXiv:2109.13431.
   Google Scholar
• Thams, A., Zech, N., Rempel, D., & Ayia-Koi, A. (2020). An initial assessment of economic impacts and operational challenges for the tourism & hospitality industry due to COVID-19 (no. 2/2020). IUBH Discussion Papers-Tourismus & Hospitality.
   Google Scholar
• Thummala, V., & Hiremath, R. B. (2022). Green aviation in India: Airline’s implementation for achieving sustainability. Cleaner and Responsible Consumption, 7, 100082. https://doi.org/10.1016/j.clrc.2022.100082
   Google Scholar
• Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
   Web of Science ®Google Scholar
• Tsui, H. P., Hsue, A. W. J., & Hung, J. C. (2022). Introduction of Taiwan Society of Electrical Machining Engineering. International Journal of Electrical Machining, 27, 1. https://doi.org/10.2526/ijem.27.1
   Google Scholar
• Warnock-Smith, D., Graham, A., O’Connell, J. F., & Efthymiou, M. (2021). Impact of COVID-19 on air transport passenger markets: Examining evidence from the Chinese market. Journal of Air Transport Management, 94, 102085. https://doi.org/10.1016/j.jairtraman.2021.102085
   PubMed Web of Science ®Google Scholar
• Wibowo, S. S., & Fadilah, S. R. (2018). Queuing analysis using viswalk for check-in counter: Case study of Lombok Praya international airport. In MATEC Web of Conferences (Vol. 181, p. 02006). EDP Sciences. https://doi.org/10.1051/matecconf/201818102006
   Google Scholar
• Willis, G., Cave, S., & Kunc, M. (2018). Strategic workforce planning in healthcare: A multi-methodology approach. European Journal of Operational Research, 267(1), 250–263. https://doi.org/10.1016/j.ejor.2017.11.008
   Web of Science ®Google Scholar
• Wren-Lewis, S. (2020). The economic effects of a pandemic. Economics in the Time of COVID-19, 109–112.
   Google Scholar
• Yiu, C. Y., Ng, K. K., Simon, C. M., & Yu, C. W. (2022). Sustaining aviation workforce after the pandemic: Evidence from Hong Kong aviation students toward skills, specialised training, and career prospects through a mixed-method approach. Transport Policy, 128, 179–192. https://doi.org/10.1016/j.tranpol.2022.09.020
   PubMed Web of Science ®Google Scholar
• Zhao, G., Cui, Y., & Cheng, S. (2021). Dynamic pricing of ancillary services based on passenger choice behavior. Journal of Air Transport Management, 94, 102058. https://doi.org/10.1016/j.jairtraman.2021.102058
   Web of Science ®Google Scholar