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How did COVID-19 impact air transportation? A first peek through the lens of complex networks
The current outbreak of COVID-19 is an unprecedented event in air transportation. This is probably the first time that global aviation contributed to the planet-wide spread of a pandemic, with casualties in over two hundred countries. As of August 23rd, 2020, the number of infected cases has topped...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486886/ https://www.ncbi.nlm.nih.gov/pubmed/32952320 http://dx.doi.org/10.1016/j.jairtraman.2020.101928 |
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author | Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming |
author_facet | Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming |
author_sort | Sun, Xiaoqian |
collection | PubMed |
description | The current outbreak of COVID-19 is an unprecedented event in air transportation. This is probably the first time that global aviation contributed to the planet-wide spread of a pandemic, with casualties in over two hundred countries. As of August 23rd, 2020, the number of infected cases has topped 23 million, reportedly relating to more than 800,000 deaths worldwide. However, there is also a second side of the pandemic: it has led to an unmatched singularity in the global air transportation system. In what could be considered a highly uncoordinated, almost chaotic manner, countries have closed their borders, and people are reluctant/unable to travel due to country-specific lock-down measures. Accordingly, aviation is one of the industries that has been suffering most due to the consequences of the pandemic outbreak, despite probably being one of its largest initial drivers. In this study, we investigate the impact of COVID-19 on global air transportation at different scales, ranging from worldwide airport networks where airports are nodes and links between airports exist when direct flights exist, to international country networks where countries are contracted as nodes, and to domestic airport networks for representative countries/regions. We focus on the spatial-temporal evolutionary dynamics of COVID-19 in air transportation networks. Our study provides a comprehensive empirical analysis on the impact of the COVID-19 pandemic on aviation from a complex system perspective using network science tools. |
format | Online Article Text |
id | pubmed-7486886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74868862020-09-14 How did COVID-19 impact air transportation? A first peek through the lens of complex networks Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming J Air Transp Manag Article The current outbreak of COVID-19 is an unprecedented event in air transportation. This is probably the first time that global aviation contributed to the planet-wide spread of a pandemic, with casualties in over two hundred countries. As of August 23rd, 2020, the number of infected cases has topped 23 million, reportedly relating to more than 800,000 deaths worldwide. However, there is also a second side of the pandemic: it has led to an unmatched singularity in the global air transportation system. In what could be considered a highly uncoordinated, almost chaotic manner, countries have closed their borders, and people are reluctant/unable to travel due to country-specific lock-down measures. Accordingly, aviation is one of the industries that has been suffering most due to the consequences of the pandemic outbreak, despite probably being one of its largest initial drivers. In this study, we investigate the impact of COVID-19 on global air transportation at different scales, ranging from worldwide airport networks where airports are nodes and links between airports exist when direct flights exist, to international country networks where countries are contracted as nodes, and to domestic airport networks for representative countries/regions. We focus on the spatial-temporal evolutionary dynamics of COVID-19 in air transportation networks. Our study provides a comprehensive empirical analysis on the impact of the COVID-19 pandemic on aviation from a complex system perspective using network science tools. Elsevier Ltd. 2020-10 2020-09-12 /pmc/articles/PMC7486886/ /pubmed/32952320 http://dx.doi.org/10.1016/j.jairtraman.2020.101928 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming How did COVID-19 impact air transportation? A first peek through the lens of complex networks |
title | How did COVID-19 impact air transportation? A first peek through the lens of complex networks |
title_full | How did COVID-19 impact air transportation? A first peek through the lens of complex networks |
title_fullStr | How did COVID-19 impact air transportation? A first peek through the lens of complex networks |
title_full_unstemmed | How did COVID-19 impact air transportation? A first peek through the lens of complex networks |
title_short | How did COVID-19 impact air transportation? A first peek through the lens of complex networks |
title_sort | how did covid-19 impact air transportation? a first peek through the lens of complex networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486886/ https://www.ncbi.nlm.nih.gov/pubmed/32952320 http://dx.doi.org/10.1016/j.jairtraman.2020.101928 |
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