Submitting Campus
Daytona Beach
Department
School of Graduate Studies
Document Type
Article
Publication/Presentation Date
6-20-2022
Abstract/Description
COVID-19 has significant impacts on air transportation. This paper aims to predict domestic and international transportation volumes during the pandemic. Daily trips by distance are novel variables in the prediction. Additionally, COVID-19 severity, vaccination, and economic index are other predictors. Artificial Neural Networks and Monte Carlo simulations were used to develop and validate the predictive models using data from various sources in 2021. The findings confirm the importance of daily trips by distance and vaccination as significant predictors. Airlines can use the models to predict air transportation volumes and formulate appropriate strategies to meet the air travel demand and improve profitability.
Publication Title
AIAA AVIATION 2022 Forum
DOI
https://doi.org/10.2514/6.2022-3223
Publisher
American Institute of Aeronautics and Astronautics
Sponsorship/Conference/Institution
AIAA AVIATION 2022 Forum
Location
Chicago, IL & Virtual
Scholarly Commons Citation
Truong, D. (2022). Predicting the Impact of COVID-19 on Air Transportation Volumes. AIAA AVIATION 2022 Forum, (). https://doi.org/10.2514/6.2022-3223
