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Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study

The COVID-19 pandemic and associated travel restrictions have created an unprecedented challenge for the air transport industry, which before the pandemic was facing almost the exact opposite set of problems. Instead of the growing demand and need for capacity expansion warring against environmental...

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Autores principales: Manca, Francesco, Sivakumar, Aruna, Pawlak, Jacek, Brodzinski, Norbert J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149510/
https://www.ncbi.nlm.nih.gov/pubmed/37153184
http://dx.doi.org/10.1177/03611981211025287
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author Manca, Francesco
Sivakumar, Aruna
Pawlak, Jacek
Brodzinski, Norbert J
author_facet Manca, Francesco
Sivakumar, Aruna
Pawlak, Jacek
Brodzinski, Norbert J
author_sort Manca, Francesco
collection PubMed
description The COVID-19 pandemic and associated travel restrictions have created an unprecedented challenge for the air transport industry, which before the pandemic was facing almost the exact opposite set of problems. Instead of the growing demand and need for capacity expansion warring against environmental concerns, the sector is now facing a slump in demand and the continuing uncertainty about the impacts of the pandemic on people’s willingness to fly. To shed light on consumer attitudes toward air travel during and post the pandemic, this study presents an analysis that draws on recently collected survey data (April–July 2020), including both revealed and stated preference components, of 388 respondents who traveled from one of the six London, U.K., airports in 2019. Several travel scenarios considering the circumstances and attitudes related to COVID-19 are explored. The data is analyzed using a hybrid choice model to integrate latent constructs related to attitudinal characteristics. The analysis confirms the impact of consumers’ health concerns on their willingness to travel, as a function of travel characteristics, that is, cost and number of transfers. It also provides insights into preference heterogeneity as a function of sociodemographic characteristics. However, no significant effects are observed concerning perceptions of safety arising from wearing a mask, or concerns over the necessity to quarantine. Results also suggest that some respondents may perceive virtual substitutes for business travel, for example video calls and similar software, as only a temporary measure, and seek to return to traveling as soon as it is possible to do so safely.
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spelling pubmed-101495102023-05-03 Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study Manca, Francesco Sivakumar, Aruna Pawlak, Jacek Brodzinski, Norbert J Transp Res Rec COVID-19 and Transportation The COVID-19 pandemic and associated travel restrictions have created an unprecedented challenge for the air transport industry, which before the pandemic was facing almost the exact opposite set of problems. Instead of the growing demand and need for capacity expansion warring against environmental concerns, the sector is now facing a slump in demand and the continuing uncertainty about the impacts of the pandemic on people’s willingness to fly. To shed light on consumer attitudes toward air travel during and post the pandemic, this study presents an analysis that draws on recently collected survey data (April–July 2020), including both revealed and stated preference components, of 388 respondents who traveled from one of the six London, U.K., airports in 2019. Several travel scenarios considering the circumstances and attitudes related to COVID-19 are explored. The data is analyzed using a hybrid choice model to integrate latent constructs related to attitudinal characteristics. The analysis confirms the impact of consumers’ health concerns on their willingness to travel, as a function of travel characteristics, that is, cost and number of transfers. It also provides insights into preference heterogeneity as a function of sociodemographic characteristics. However, no significant effects are observed concerning perceptions of safety arising from wearing a mask, or concerns over the necessity to quarantine. Results also suggest that some respondents may perceive virtual substitutes for business travel, for example video calls and similar software, as only a temporary measure, and seek to return to traveling as soon as it is possible to do so safely. SAGE Publications 2021-07-14 2023-04 /pmc/articles/PMC10149510/ /pubmed/37153184 http://dx.doi.org/10.1177/03611981211025287 Text en © National Academy of Sciences: Transportation Research Board 2021 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 COVID-19 and Transportation
Manca, Francesco
Sivakumar, Aruna
Pawlak, Jacek
Brodzinski, Norbert J
Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study
title Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study
title_full Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study
title_fullStr Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study
title_full_unstemmed Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study
title_short Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study
title_sort will we fly again? modeling air travel demand in light of covid-19 through a london case study
topic COVID-19 and Transportation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149510/
https://www.ncbi.nlm.nih.gov/pubmed/37153184
http://dx.doi.org/10.1177/03611981211025287
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