COVID-19 impact in the Brazilian Multiplex Air Transportation Network

Authors

Keywords:

Complex networks, Multiplex networks, Air transportation, Airports concession, COVID-19

Abstract

The Brazilian Air Transportation Network has been changing in the last years, due to an economic recession since 2016, the concession of the main airports and the impact of the COVID-19 pandemic. Air transportation is a complex infrastructure system, in which each airline represents a different layer. Adding the weight of interactions combined with a multilayer approach can make the network description even more detailed than a single-layer analysis, because important network features emerge from the multilayer character. The multilayer approach for complex networks is yet new in the literature. As far as the authors know, there are no studies yet applying multiplex network to analyze domestic and international Brazilian air network to improve the understanding of complex systems and investigate macroeconomic effects of the economic recession and COVID-19 pandemic in the air network. The objective of this paper is to evaluate changes in the Brazilian Air Transportation network from 2019 to 2020, before and during the COVID-19 pandemic, using topology measures for network characterization. We compared the network topology and evaluated COVID-19 impact on airports under concession and on regional aviation, also comparing with the aggregated approach. Results show a network concentration during this period in hub airports, reduced connectivity and reduced density resulting in a sparser network. The airlines strategies were different over this period and the multilayer approach changed the importance ranking of airports compared with the aggregated approach. These analyses indicate an opportunity to improve regional air transportation and the need to enhance regional airport’s versatility.

Downloads

Download data is not yet available.

Author Biographies

Fernanda Toledo, Federal University of Rio de Janeiro

Fernanda S. Toledo received a B.S. in Civil Engineering from Federal University of Triangulo Mineiro, Brazil, in 2016, an M.S. degree in Transportation Engineering from the Military Institute of Engineering, Rio de Janeiro, Brazil, in 2018 and is a Ph.D. candidate in Civil Engineering in the Federal University of Rio de Janeiro, Brazil. Her research focuses on airports’ productive efficiency, complex networks applied to air transportation, and discussion on public management and airport concessions.

Nelson Ebecken, Federal University of Rio de Janeiro

Nelson F. F. Ebecken received the M.S. and Ph.D. degrees in civil engineering from Universidade Federal do Rio de Janeiro, Brazil, in 1973 and 1977, respectively. Currently, he is the Professor of Computational Systems at the Engineering Graduated Center (COPPE), Universidade Federal do Rio de Janeiro, Brazil. He has published more than 200 papers in journals and conference proceedings. His research focuses on basic methodologies for modeling and extracting knowledge from data and their application across different disciplines. He develops and integrates ideas and computational tools from statistics and information theory with artificial intelligence paradigms. Dr. Ebecken started the International Conference on Data Mining, Rio de Janeiro, Brazil, in 1998. In 2005, he was awarded a membership of the Brazilian Academy of Sciences.

References

I. M. Oliveira, L. C. Carpi, and A. Atman, “The multiplex efficiency index: unveiling the brazilian air transportation multiplex network—batmn,” Scientific reports, vol. 10, no. 1, p. 13339, 2020, https://doi.org/10.1038/s41598-020-69974-0.

D.-D. Han, J.-H. Qian, and J.-G. Liu, “Network topology and correlation features affiliated with european airline companies,” Physica A:

Statistical Mechanics and its Applications, vol. 388, no. 1, pp. 71–81, 2009, https://doi.org/10.1016/j.physa.2008.09.021

M. De Domenico, A. Solé-Ribalta, E. Omodei, S. Gómez, and A. Arenas, “Ranking in interconnected multilayer networks reveals versatile nodes,” Nature communications, vol. 6, no. 1, p. 6868, 2015, https://doi.org/10.1038/ncomms7868.

Y. Zhou, S. Li, T. Kundu, X. Bai, and W. Qin, “The impact of network topology on air transportation robustness to pandemics,” IEEE Transactions on Network Science and Engineering, vol. 8, no. 3, pp. 2249–2261, 2021, DOI: 10.1109/TNSE.2021.3085818.

K. Demertzis, D. Tsiotas, and L. Magafas, “Modeling and forecasting the covid-19 temporal spread in greece: An exploratory approach

based on complex network defined splines,” International Journal of Environmental Research and Public Health, vol. 17, no. 13, p. 4693,

, https://doi.org/10.3390/ijerph17134693.

S. P. Ribeiro, A. C. e Silva, W. Dáttilo, A. B. Reis, A. Góes-Neto, L. C. J. Alcantara, M. Giovanetti, W. Coura-Vital, G. W. Fernandes, and

V. A. C. Azevedo, “Severe airport sanitarian control could slow down the spreading of covid-19 pandemics in brazil,” PeerJ, vol. 8, p. e9446,

, https://doi.org/10.7717/peerj.9446.

X. Sun, S. Wandelt, and A. Zhang, “How did covid-19 impact air transportation? a first peek through the lens of complex networks,”

Journal of Air Transport Management, vol. 89, p. 101928, 2020, https://doi.org/10.1016

A. Cardillo, J. Gómez-Gardenes, M. Zanin, M. Romance, D. Papo, F. d. Pozo, and S. Boccaletti, “Emergence of network features

from multiplexity,” Scientific reports, vol. 3, no. 1, p. 1344, 2013, https://doi.org/10.1038/srep01344.

D. D. S. PEREIRA, J. C. C. B. S. DE, et al., “Brazilian airports network evaluation,” Brazilian Journal Of Operations & Production Management, vol. 17, no. 1, pp. 1–10, 2020, https://doi.org/10.14488/BJOPM.2020.008.

D. D. S. Pereira, J. C. C. B. S. De, et al., “Comparative evaluation of the brazilian air transport system centrality,” Case Studies on Transport Policy, vol. 9, no. 4, pp. 1672–1676, 2021, https://doi.org/10.1016/j.cstp.2021.08.012.

M. De Domenico, A. Solé-Ribalta, E. Cozzo, M. Kivelä, Y. Moreno, M. A. Porter, S. Gómez, and A. Arenas, “Mathematical formulation of

multilayer networks,” Physical Review X, vol. 3, no. 4, p. 041022, 2013, https://doi.org/10.1103/PhysRevX.3.041022.

M. De Domenico, M. A. Porter, and A. Arenas, “Muxviz: a tool for multilayer analysis and visualization of networks,” Journal of Complex Networks, vol. 3, no. 2, pp. 159–176, 2015, https://doi.org/10.1093/comnet/cnu038.

C. J. L. e Silva, M. O. de Andrade, V. A. Falcão, C. Fabrício, and A. da Silva, “Subsidized regional airlines as a sustainable development mechanism for remote locations heavily dependent on air transportation,” Journal of Sustainable Development, vol. 14, no. 4,

, doi:10.5539/jsd.v14n4p108.

R. V. Ventura, M. Cabo, R. Caixeta, E. Fernandes, and V. Aprigliano Fernandes, “Air transportation income and price elasticities in remote areas: the case of the brazilian amazon region,” Sustainability, vol. 12, no. 15, p. 6039, 2020, https://doi.org/10.3390/su12156039.

M. Abate, P. Christidis, and A. J. Purwanto, “Government support to airlines in the aftermath of the covid-19 pandemic,” Journal of air transport management, vol. 89, p. 101931, 2020, https://doi.org/10.1016/j.jairtraman.2020.101931.

Published

2025-03-07

How to Cite

Silva Toledo, F., & Francisco Favilla Ebecken, N. (2025). COVID-19 impact in the Brazilian Multiplex Air Transportation Network. IEEE Latin America Transactions, 23(4), 294–300. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/9007