航空
中心性
航空旅行
航空运输
2019年冠状病毒病(COVID-19)
稳健性(进化)
运输工程
网络科学
空中交通管制
航程(航空)
流量网络
计算机科学
运筹学
经济地理学
业务
复杂网络
地理
工程类
航空航天工程
统计
数学
医学
疾病
生物化学
传染病(医学专业)
病理
基因
数学优化
万维网
化学
作者
Xiaoge Bao,Peng Ji,Wei Lin,Matjaž Perc,Jürgen Kurths
摘要
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.
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