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

被引:18
|
作者
Sun, Xiaoqian [1 ]
Wandelt, Sebastian [1 ]
Zhang, Anming [2 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Natl Key Lab CNS ATM, Beijing 100191, Peoples R China
[2] Univ British Columbia, Sauder Sch Business, Vancouver, BC, Canada
基金
中国国家自然科学基金;
关键词
Aviation; COVID-19; Recovery; Markets;
D O I
10.1016/j.jairtraman.2023.102401
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
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.
引用
收藏
页数:13
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