A data-driven analysis of the aviation recovery from the COVID-19 pandemic

In Summer 2022, after a lean COVID-19 spell of almost three years, many airlines reported profits and some airlines even outperformed their pre-pandemic records. In context of the perceived recovery, it is interesting to understand how different markets have gone through the pandemic challenges. In...

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Detalles Bibliográficos
Autores principales: Sun, Xiaoqian, Wandelt, Sebastian, Zhang, Anming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073593/
https://www.ncbi.nlm.nih.gov/pubmed/37034457
http://dx.doi.org/10.1016/j.jairtraman.2023.102401
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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 In Summer 2022, after a lean COVID-19 spell of almost three years, many airlines reported profits and some airlines even outperformed their pre-pandemic records. In context of the perceived recovery, it is interesting to understand how different markets have gone through the pandemic challenges. In this study, we perform a spatial and temporal dissection of the recovery process the global aviation system went through since May 2020. At the heart of this study, we investigate the patterns underlying market entry decisions during the recovery phase. We identify a rather heterogeneous type of recovery as well as its underlying drivers. We believe that our work is a timely contribution to the research on COVID-19 and aviation, complementary to the existing studies in the literature.
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spelling pubmed-100735932023-04-05 A data-driven analysis of the aviation recovery from the COVID-19 pandemic Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming J Air Transp Manag Article In Summer 2022, after a lean COVID-19 spell of almost three years, many airlines reported profits and some airlines even outperformed their pre-pandemic records. In context of the perceived recovery, it is interesting to understand how different markets have gone through the pandemic challenges. In this study, we perform a spatial and temporal dissection of the recovery process the global aviation system went through since May 2020. At the heart of this study, we investigate the patterns underlying market entry decisions during the recovery phase. We identify a rather heterogeneous type of recovery as well as its underlying drivers. We believe that our work is a timely contribution to the research on COVID-19 and aviation, complementary to the existing studies in the literature. The Author(s). Published by Elsevier Ltd. 2023-06 2023-04-05 /pmc/articles/PMC10073593/ /pubmed/37034457 http://dx.doi.org/10.1016/j.jairtraman.2023.102401 Text en © 2023 The Author(s) 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
A data-driven analysis of the aviation recovery from the COVID-19 pandemic
title A data-driven analysis of the aviation recovery from the COVID-19 pandemic
title_full A data-driven analysis of the aviation recovery from the COVID-19 pandemic
title_fullStr A data-driven analysis of the aviation recovery from the COVID-19 pandemic
title_full_unstemmed A data-driven analysis of the aviation recovery from the COVID-19 pandemic
title_short A data-driven analysis of the aviation recovery from the COVID-19 pandemic
title_sort data-driven analysis of the aviation recovery from the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073593/
https://www.ncbi.nlm.nih.gov/pubmed/37034457
http://dx.doi.org/10.1016/j.jairtraman.2023.102401
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