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A data-driven analysis of the aviation recovery from the COVID-19 pandemic.
Sun, Xiaoqian; Wandelt, Sebastian; Zhang, Anming.
  • Sun X; Beihang University, National Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, 100191 Beijing, China.
  • Wandelt S; Beihang University, National Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, 100191 Beijing, China.
  • Zhang A; Sauder School of Business, University of British Columbia, Vancouver, BC, Canada.
J Air Transp Manag ; 109: 102401, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-2304375
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Air Transp Manag Year: 2023 Document Type: Article Affiliation country: J.jairtraman.2023.102401

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Air Transp Manag Year: 2023 Document Type: Article Affiliation country: J.jairtraman.2023.102401