2023
Sousa, R.; Gomes, J.; Gomes, J.; Arcipreste, M.; Guimarães, P.; Oliveira, D.; Machado, J.
COVID-19 Cases and Their Impact on Global Air Traffic Proceedings Article
Em: J.M., Peixoto H. Machado (Ed.): pp. 16-27, Springer Science and Business Media Deutschland GmbH, 2023, ISSN: 18678211, (cited By 0; Conference of 3rd International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities, AISCOVID-19 2022 ; Conference Date: 16 November 2022 Through 18 November 2022; Conference Code:298899).
Resumo | Links | BibTeX | Etiquetas: Air traffics; Air transport industry; Big data architecture; Case-studies; Covid-19 world impact; Data architectures; Data-source; GDP; Global air traffic; Survey analysis, Air transportation; Aviation; COVID-19; Metadata, Big data
@inproceedings{Sousa202316,
title = {COVID-19 Cases and Their Impact on Global Air Traffic},
author = {R. Sousa and J. Gomes and J. Gomes and M. Arcipreste and P. Guimarães and D. Oliveira and J. Machado},
editor = {Peixoto H. Machado J.M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172721784&doi=10.1007%2f978-3-031-38204-8_2&partnerID=40&md5=64a4cb6986ae3fc0935b9c82e33c5145},
doi = {10.1007/978-3-031-38204-8_2},
issn = {18678211},
year = {2023},
date = {2023-01-01},
journal = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},
volume = {485 LNICST},
pages = {16-27},
publisher = {Springer Science and Business Media Deutschland GmbH},
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). © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.},
note = {cited By 0; Conference of 3rd International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities, AISCOVID-19 2022 ; Conference Date: 16 November 2022 Through 18 November 2022; Conference Code:298899},
keywords = {Air traffics; Air transport industry; Big data architecture; Case-studies; Covid-19 world impact; Data architectures; Data-source; GDP; Global air traffic; Survey analysis, Air transportation; Aviation; COVID-19; Metadata, Big data},
pubstate = {published},
tppubtype = {inproceedings}
}
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). © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.