tetano
Editor, Senior Moderator
Transp Policy (Oxf)
. 2022 Apr 29.
doi: 10.1016/j.tranpol.2022.04.016. Online ahead of print.
Impact of COVID-19 on domestic air transportation in China
Yongling Li[SUP] 1 2 [/SUP], Jiaoe Wang[SUP] 1 2 [/SUP], Jie Huang[SUP] 1 [/SUP], Zhuo Chen[SUP] 1 [/SUP], Yongling Li[SUP] 1 2 [/SUP]
Affiliations
Abstract
Assessing the impact of the coronavirus disease 2019 (COVID-19) on air transportation is essential for policymakers and airlines to prevent their widespread shutdown. The panel data observed from January 20, 2020, to April 30, 2020, were used to identify the impact of COVID-19 and the relevant control measures adopted on China's domestic air transportation. Hybrid models within negative binomial models were employed to separate the temporal and spatial effects of COVID-19. Temporal effects show that the number of new confirmed cases and the control measures significantly affect the number of operated flights. Spatial effects show that the network effect of COVID-19 cases in destination cities, lockdown, and adjustment to Level I in the early stages have a negative impact on the operated flights. Adjustment to Level II or Level III both has positive temporal and spatial effects. This indicates that the control measures adopted during the early stage of the pandemic positively impact the restoration of the aviation industry and other industries in the later stage.
Keywords: Air transportation; COVID-19; China; Hybrid model; Panel data.
. 2022 Apr 29.
doi: 10.1016/j.tranpol.2022.04.016. Online ahead of print.
Impact of COVID-19 on domestic air transportation in China
Yongling Li[SUP] 1 2 [/SUP], Jiaoe Wang[SUP] 1 2 [/SUP], Jie Huang[SUP] 1 [/SUP], Zhuo Chen[SUP] 1 [/SUP], Yongling Li[SUP] 1 2 [/SUP]
Affiliations
- PMID: 35505907
- PMCID: PMC9050863
- DOI: 10.1016/j.tranpol.2022.04.016
Abstract
Assessing the impact of the coronavirus disease 2019 (COVID-19) on air transportation is essential for policymakers and airlines to prevent their widespread shutdown. The panel data observed from January 20, 2020, to April 30, 2020, were used to identify the impact of COVID-19 and the relevant control measures adopted on China's domestic air transportation. Hybrid models within negative binomial models were employed to separate the temporal and spatial effects of COVID-19. Temporal effects show that the number of new confirmed cases and the control measures significantly affect the number of operated flights. Spatial effects show that the network effect of COVID-19 cases in destination cities, lockdown, and adjustment to Level I in the early stages have a negative impact on the operated flights. Adjustment to Level II or Level III both has positive temporal and spatial effects. This indicates that the control measures adopted during the early stage of the pandemic positively impact the restoration of the aviation industry and other industries in the later stage.
Keywords: Air transportation; COVID-19; China; Hybrid model; Panel data.