Analyzing multiple COVID-19 outbreak impacts: A case study based on Chinese national air passenger flow

Jinghua Wang; Zhao Zhang; Guangquan Lu; Bin Yu; Chengyu Zhan; Jingsong Cai

doi:10.1016/j.tra.2023.103586

Analyzing multiple COVID-19 outbreak impacts: A case study based on Chinese national air passenger flow

Transp Res Part A Policy Pract. 2023 Mar:169:103586. doi: 10.1016/j.tra.2023.103586. Epub 2023 Jan 17.

Authors

Jinghua Wang¹, Zhao Zhang¹, Guangquan Lu¹, Bin Yu¹, Chengyu Zhan¹, Jingsong Cai¹

Affiliation

¹ School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.

Abstract

The spread of COVID-19 results in a significant drop in traffic levels worldwide. Quantifying the impact of multiple COVID-19 outbreaks on traffic systems is critical to developing differentiated policies in the future. This paper proposes a novel COVID-19 multiple outbreak analysis method (NCMOA), dividing the impact scope and degree under multiple COVID-19 disturbances, and using the recovery rate and accumulated loss to quantify the impacts on air passenger flow. A case study based on Chinese national air traffic flow is executed, and the recovery patterns and the differentiated disturbances are analyzed. Results show that air passenger flow recovers with a similar pattern after the first outbreak, and subsequent outbreaks cause local effects and cannot affect the overall recovery pattern. Further, the heterogeneous influence factors and trends on the epi-centers (EC) and the nation are analyzed. In addition, the methods and results of this paper quantify the impact of COVID-19 on air passenger flow at a more detailed level under multiple disturbances. They could provide a basis for differentiated policy formulation of airlines and government in the future.

Keywords: Accumulated loss; Air passenger flow; COVID-19; Multiple disturbances; Recovery rate.