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AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities. Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings

Research Article

COVID-19 Cases and Their Impact on Global Air Traffic

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-38204-8_2,
        author={Regina Sousa and Jo\"{a}o Gomes and Jos\^{e} Gomes and M\^{a}rio Arcipreste and Pedro Guimar\"{a}es and Daniela Oliveira and Jos\^{e} Machado},
        title={COVID-19 Cases and Their Impact on Global Air Traffic},
        proceedings={AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities. Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings},
        proceedings_a={AISCOVID-19},
        year={2023},
        month={7},
        keywords={Covid-19 World Impact GDP Big Data Architecture Air Traffic},
        doi={10.1007/978-3-031-38204-8_2}
    }
    
  • Regina Sousa
    João Gomes
    José Gomes
    Mário Arcipreste
    Pedro Guimarães
    Daniela Oliveira
    José Machado
    Year: 2023
    COVID-19 Cases and Their Impact on Global Air Traffic
    AISCOVID-19
    Springer
    DOI: 10.1007/978-3-031-38204-8_2
Regina Sousa1,*, João Gomes, José Gomes, Mário Arcipreste, Pedro Guimarães, Daniela Oliveira1, José Machado1
  • 1: ALGORITMI/LASI
*Contact email: regina.sousa@algoritmi.uminho.pt

Abstract

The air transport industry has marked unprecedented changes throughout the pandemic period of Covid-19 infection. Mostly in the number of flights canceled, liquidation of airlines and disconnection between points worldwide. The existing documentation relating to air traffic, in the specific period of this study, can be extracted, processed and visualized through tools widely used to support case study assumptions, especially in the context of Big Data. This document addresses to the use of a Big Data architecture to survey, analyze and explore different data sources and consequent loading, transformation and visual representation of the results obtained in order to verify the impact of the number of cases of infection by Covid-19 in air traffic. Based on the results obtained through the described methodology, it can be stated that the number of cases of infection by Covid-19 presents a significant impact on the number of flights that occurred ever since (around 50% less flights).

Keywords
Covid-19 World Impact GDP Big Data Architecture Air Traffic
Published
2023-07-30
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-38204-8_2
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