The impact of COVID-19 on the worldwide air transportation network

Author:

Bao Xiaoge1,Ji Peng12ORCID,Lin Wei23ORCID,Perc Matjaž456ORCID,Kurths Jürgen789ORCID

Affiliation:

1. Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, People’s Republic of China

2. Research Institute of Intelligent Complex Systems and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, People's Republic of China

3. School of Mathematical Sciences, LMNS, and SCMS, Fudan University, Shanghai 200433, People's Republic of China

4. Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000 Maribor, Slovenia

5. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan

6. Complexity Science Hub Vienna, Josefstädterstraße 39, 1080 Vienna, Austria

7. Potsdam Institute for Climate Impact Research (PIK), 14473 Potsdam, Germany

8. Department of Physics, Humboldt University, 12489 Berlin, Germany

9. Centre for Analysis of Complex Systems, World-Class Research Center “Digital biodesign and personalized healthcare”, Sechenov First Moscow State Medical University, Moscow, 119991, Russia

Abstract

Air travel has been one of the hardest hit industries of COVID-19, with many flight cancellations and airport closures as a consequence. By analysing structural characteristics of the Official Aviation Guide flight data, we show that this resulted in an increased average distance between airports, and in an increased number of long-range routes. Based on our study of network robustness, we uncover that this disruption is consistent with the impact of a mixture of targeted and random global attack on the worldwide air transportation network. By considering the individual functional evolution of airports, we identify anomalous airports with high centrality but low degree, which further enables us to reveal the underlying transitions among airport-specific representations in terms of both geographical and geopolitical factors. During the evolution of the air transportation network, we also observe how the network attempted to cope by shifting centralities between different airports around the world. Since these shifts are not aligned with optimal strategies for minimizing delays and disconnects, we conclude that they are consistent with politics trumping science from the viewpoint of epidemic containment and transport.

Funder

Shanghai Municipal Science and Technology Major Project

Slovenian Research Agency

National Natural Science Foundation of China

Publisher

The Royal Society

Subject

Multidisciplinary

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