Exploration of dataset COVID-19’s impact on airport traffic

Mingjun Yuan; Yuanzhe Zheng; Chiwei Chen; Linkang Zhan

doi:10.1117/12.2628224

18 February 2022 Exploration of dataset COVID-19’s impact on airport traffic

Mingjun Yuan, Yuanzhe Zheng, Chiwei Chen, Linkang Zhan

Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 1216219 (2022) https://doi.org/10.1117/12.2628224
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China

Abstract

Coronavirus Disease 2019 (COVID-19) pandemic has had a huge impact on airport traffic, but few works have researched about this field. In order to have a further understanding of the influence, this paper studied the dataset Covid Impact on Airport Traffic. By exploratory data analysis and visualization of the dataset, this paper has a clear insight of how the airport traffic was influenced by COVID-19. This paper also analyzed the correlation of the data with confirmed covid-19 cases using an auxiliary dataset Time series summary of global confirmed covid-19 cases and forecasted the how would the data in Covid Impact on Airport Traffic change with the number of confirmed covid-19 cases. And finally, this paper estimated the financial loss of airports. The result of this paper showed the influence of COVID-19 from multiple aspects and it has instructive significance in some degree.

Citation Download Citation

Mingjun Yuan, Yuanzhe Zheng, Chiwei Chen, and Linkang Zhan "Exploration of dataset COVID-19’s impact on airport traffic", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 1216219 (18 February 2022); https://doi.org/10.1117/12.2628224

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