Estimating the impact of COVID-19 on air travel in the medium and long term using neural network and Monte Carlo simulation
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DOI: 10.1016/j.jairtraman.2021.102126
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- Hu, Rong & Feng, Huilin & Witlox, Frank & Zhang, Junfeng & Connor, Kevin O., 2022. "Airport capacity constraints and air traffic demand in China," Journal of Air Transport Management, Elsevier, vol. 103(C).
- Elif Bozkaya & Levent Eriskin & Mumtaz Karatas, 2023. "Data analytics during pandemics: a transportation and location planning perspective," Annals of Operations Research, Springer, vol. 328(1), pages 193-244, September.
- Li, Siping & Xu, Gangyan & Zhou, Yaoming, 2023. "How air transport networks respond to long-lasting disruptive events like COVID-19: The first step toward long-term resilience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 177(C).
- Hanson, Daniel & Toru Delibasi, Tuba & Gatti, Matteo & Cohen, Shamai, 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, Elsevier, vol. 98(C).
- Truong, Dothang & Truong, My D., 2022. "How do customers change their purchasing behaviors during the COVID-19 pandemic?," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
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Keywords
COVID-19; Air travel; Daily travel; Neural network; Simulation;All these keywords.
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