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Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations
Pandemic waves are worldwide disasters that can create long-term disruptions in critical industries. Airline transportation is a crucial industry for the US economy. We empirically study how vital industries such as airlines adapt in response to massive disasters like COVID-19. This paper investigat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061402/ http://dx.doi.org/10.1007/s43069-023-00210-x |
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author | Kammerdiner, Alla Semenov, Alexander Pasiliao, Eduardo L. |
author_facet | Kammerdiner, Alla Semenov, Alexander Pasiliao, Eduardo L. |
author_sort | Kammerdiner, Alla |
collection | PubMed |
description | Pandemic waves are worldwide disasters that can create long-term disruptions in critical industries. Airline transportation is a crucial industry for the US economy. We empirically study how vital industries such as airlines adapt in response to massive disasters like COVID-19. This paper investigates the changes in the network of the US domestic flights caused by the start of the COVID-19 epidemic. Using a novel dataset, we examine the epidemic-induced network adaptations in the US airline industry and quantify the strength of the flight network’s response to the epidemic network activation. We find that the overall disruption in the flight network is large in size. When considering a natural multilayer structure of the flight network represented by airlines, we find that the COVID-19 epidemic changes the multilayer structure, and some layers are more resilient than others. |
format | Online Article Text |
id | pubmed-10061402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-100614022023-03-30 Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations Kammerdiner, Alla Semenov, Alexander Pasiliao, Eduardo L. Oper. Res. Forum Original Research Pandemic waves are worldwide disasters that can create long-term disruptions in critical industries. Airline transportation is a crucial industry for the US economy. We empirically study how vital industries such as airlines adapt in response to massive disasters like COVID-19. This paper investigates the changes in the network of the US domestic flights caused by the start of the COVID-19 epidemic. Using a novel dataset, we examine the epidemic-induced network adaptations in the US airline industry and quantify the strength of the flight network’s response to the epidemic network activation. We find that the overall disruption in the flight network is large in size. When considering a natural multilayer structure of the flight network represented by airlines, we find that the COVID-19 epidemic changes the multilayer structure, and some layers are more resilient than others. Springer International Publishing 2023-03-30 2023 /pmc/articles/PMC10061402/ http://dx.doi.org/10.1007/s43069-023-00210-x Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Kammerdiner, Alla Semenov, Alexander Pasiliao, Eduardo L. Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations |
title | Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations |
title_full | Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations |
title_fullStr | Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations |
title_full_unstemmed | Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations |
title_short | Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations |
title_sort | flight from covid-19: multiscale and multilayer analyses of the epidemic-induced network adaptations |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061402/ http://dx.doi.org/10.1007/s43069-023-00210-x |
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