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The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China

This paper applies a three-step framework to quantify COVID-19’s impacts on China’s domestic and international air travel demand and to evaluate how the impacts evolve from January 2020 to January 2022. Time series techniques and combination forecasting are tested to identify the best-performing mod...

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Detalles Bibliográficos
Autores principales: Wu, Xi, Blake, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895287/
https://www.ncbi.nlm.nih.gov/pubmed/36751691
http://dx.doi.org/10.1177/21582440231152444
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author Wu, Xi
Blake, Adam
author_facet Wu, Xi
Blake, Adam
author_sort Wu, Xi
collection PubMed
description This paper applies a three-step framework to quantify COVID-19’s impacts on China’s domestic and international air travel demand and to evaluate how the impacts evolve from January 2020 to January 2022. Time series techniques and combination forecasting are tested to identify the best-performing model to generate baseline forecasts, with which actual demands are compared to assess the impact of COVID-19. The results demonstrate that during the period under study, China’s domestic aviation sector experienced two V-shape recoveries, while its international counterpart was devastated and showed no sign of revival. It suggests that to mitigate the impact of COVID-19, containing virus spread and removing mobility controls are essential; and when travel restrictions are lifted or loosened, governments play important roles in accelerating the rate of demand recovery.
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spelling pubmed-98952872023-02-03 The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China Wu, Xi Blake, Adam Sage Open Article This paper applies a three-step framework to quantify COVID-19’s impacts on China’s domestic and international air travel demand and to evaluate how the impacts evolve from January 2020 to January 2022. Time series techniques and combination forecasting are tested to identify the best-performing model to generate baseline forecasts, with which actual demands are compared to assess the impact of COVID-19. The results demonstrate that during the period under study, China’s domestic aviation sector experienced two V-shape recoveries, while its international counterpart was devastated and showed no sign of revival. It suggests that to mitigate the impact of COVID-19, containing virus spread and removing mobility controls are essential; and when travel restrictions are lifted or loosened, governments play important roles in accelerating the rate of demand recovery. SAGE Publications 2023-01-30 /pmc/articles/PMC9895287/ /pubmed/36751691 http://dx.doi.org/10.1177/21582440231152444 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Wu, Xi
Blake, Adam
The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China
title The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China
title_full The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China
title_fullStr The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China
title_full_unstemmed The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China
title_short The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China
title_sort impact of the covid-19 crisis on air travel demand: some evidence from china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895287/
https://www.ncbi.nlm.nih.gov/pubmed/36751691
http://dx.doi.org/10.1177/21582440231152444
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