The COVID-19 pandemic has profoundly affected the air transportation system, its structure, its reliability, and its dynamics. Passengers have in turn significantly adapted their behavior. Through a case study at Paris-Charles de Gaulle airport, the present paper examines the new traffic network, the fact that delays remain high despite a drop in flight volume, the significant decrease in aircraft load factors and the change in passenger behavior at the airport.
|Original language||English (US)|
|Title of host publication||2021 IEEE International Conference on Big Data (Big Data)|
|Number of pages||11|
|State||Published - Dec 15 2021|
Bibliographical noteKAUST Repository Item: Exported on 2022-03-09
Acknowledgements: The authors would like to thank Paris-Charles De Gaulle airport for providing the data and for their willingness to share their knowledge and expertise. The authors are thankful to the TRANSIT project, the European community and King Abdullah University of Science and Technology for their financial support.