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The impact of COVID-19 on flight networks

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10.1109/BigData50022.2020.9378218
 
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hdl:2117/345264

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Suzumura, Toyotaro
Kanezashi, Hiroki
Dholakia, Mishal
Ishii, Euma
Álvarez Napagao, SergioMés informacióMés informacióMés informació
Pérez Arnal, Raquel LeandraMés informacióMés informacióMés informació
García Gasulla, Dario
Document typeConference report
Defense date2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among these countries, resulting in extensive social and economic costs. To better understand the situation in a quantitative manner, we analyzed the OpenSky Network data to clarify flight patterns and flight densities around the world. Then we observed relationships between flight numbers with new infection cases and the economy (the unemployment rate) in Barcelona. We found that the number of daily flights gradually decreased and then suddenly dropped 64% during the second half of March in 2020 after the United States and Europe enacted travel restrictions. We also observed a 51% decrease in the global flight network density decreased during this period. Regarding new COVID-19 cases, the United States had an unexpected surge regardless of travel restrictions. Finally, the layoffs for temporary workers in the tourism and airplane business increased by 4.3 fold in the weeks following Spain’s decision to close its borders.
CitationSuzumura, T. [et al.]. The impact of COVID-19 on flight networks. A: IEEE International Conference on Big Data. "2020 IEEE International Conference on Big Data: Dec 10-Dec 13, 2020, virtual event: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 2443-2452. ISBN 978-1-7281-6251-5. DOI 10.1109/BigData50022.2020.9378218. 
URIhttp://hdl.handle.net/2117/345264
DOI10.1109/BigData50022.2020.9378218
ISBN978-1-7281-6251-5
Publisher versionhttps://ieeexplore.ieee.org/document/9378218
Collections
  • COVID-19 - Col·lecció especial COVID-19 [582]
  • Departament de Ciències de la Computació - Ponències/Comunicacions de congressos [1.235]
  • Computer Sciences - Ponències/Comunicacions de congressos [507]
  • KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic - Ponències/Comunicacions de congressos [110]
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