Aviation supply and demand in the São Paulo and Rio de Janeiro systems evolution: An exploratory study

• Autorzy: Bruno de Paula Balan , Renan Cipriano da Cunha , Maria Cláudia Ferreira da Cunha , Leila Halawi
• Języki publikacji: EN

Abstrakty

EN

Aim/purpose - Multiple factors affect a passenger's origin and destination airport choice. This study explores some of the leading indicators associated with performance in cities with more than one airport. Two important Multi-Airport Systems (MAS) in Brazil were the object of this study: São Paulo (Congonhas and Guarulhos) and Rio de Janeiro (Santos Dumont and Galeão), the most significant demand-generating centers in the country and the most critical distribution centers of flights from South America. Design/methodology/approach - Using public databases presenting the evolution of supply and demand from 2013 to 2018, the evolution of flights, and the sales by airlines in the same period, we estimated a linear model using panel data on a multiple linear regression with fixed effects. Findings - One of the results observed is that competition between airlines positively affects prices for consumers, the industry, and tourism, which is vital for the country. Research implications/limitations - The limitation of the findings is the lack of current data. Originality/value/contribution - In filling the gap in the literature on the evolution of supply and demand in the Brazilian aviation market, the study evaluates some of the leading indicators associated with performance in cities with more than one airport.(original abstract)

Słowa kluczowe

EN

Aviation; Supply; Demand; Airports; Tourism; Airlines

PL

Lotnictwo; Podaż; Popyt; Porty lotnicze; Turystyka; Linie lotnicze

• Czasopismo: Journal of Economics & Management / University of Economics in Katowice
• Rocznik: 2022
• Numer: nr 44
• Strony: 393--419

Twórcy

autor

Bruno de Paula Balan

• Embry Riddle Aeronautical University, USA

autor

Renan Cipriano da Cunha

• Embry Riddle Aeronautical University, USA

autor

Maria Cláudia Ferreira da Cunha

• Embry Riddle Aeronautical University, USA

autor

Leila Halawi

• Embry Riddle Aeronautical University, USA

Bibliografia

• Abreu, T., Borille, G., & Correia, A. (2017). Modeling airport choice behavior: A case study on the major Brazilian multi-airport system. 21st Air Transport Research Society World Conference, Antwerp, Belgium. https://www.researchgate.net/pub lication/319262842_MODELLING_AIRPORT_CHOICE_BEHAVIOR_A_CASE_ STUDY_ON_THE_MAJOR_BRAZILIAN_MULTI-AIRPORT_SYSTEM
• Agência Nacional de Aviação Civil [ANAC]. (2019a). Microdados de tarifas aéreas comercializadas. https://www.gov.br/anac/pt-br/assuntos/dados-e-estatisticas/micro dados-de-tarifas-aereas-comercializadas
• Agência Nacional de Aviação Civil [ANAC]. (2019b). Microdata. https://www.anac.gov. br/assuntos/dados-e-estatisticas/mercado-de-transporte-aereo/consulta-interactive/ demand-and-supply-source-destination (September 13, 2020).
• Agência Nacional de Aviação Civil [ANAC]. (2016). Dados estatísticos do transporte aéreo do Brasil. https://www.anac.gov.br/acesso-a-informacao/dados-abertos/areas-de-atuacao/voos-e-operacoes-aereas/dados-estatisticos-do-transporte-aereo/48-dados -estatisticos-do-transporte-aereo
• Attaalla, F. A. H. (2019). Multi-airport systems as a global tourism phenomenon: A critical review and a new concept. International Journal of Tourism & Hospitality Reviews, 6(1). https://core.ac.uk/download/pdf/268007025.pdf
• Başar, G., & Bhat, C. (2004). A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area. Transportation Research. Part B: Methodological, 38(10), 889-904. https://doi.org/10.1016/j.trb.2004.01.001
• Bilotkach, V., & Lakew, P. A. (2014). On sources of market power in the airline indus-try: Panel data evidence from the US airports. Transportation Research. Part A: Policy and Practice, 59, 288-305. https://doi.org/10.1016/j.tra.2013.11.011
• Bonnefoy, P. A. (2008). Scalability of the air transportation system and development of multi-airport systems: A worldwide perspective (Doctoral Dissertation, Massachusetts Institute of Technology). https://dspace.mit.edu/handle/1721.1/46800?show=full
• Bonnefoy, P. A., de Neufville, R., & Hansman, R. J. (2010). Evolution and development of multiairport systems: Worldwide perspective. Journal of Transportation Engineering, 136(11), 1021-1029. https://doi.org/10.1061/(ASCE)0733-947X(2010)136:11(1021)
• Borenstein, S. (1989). Hubs and high fares: Dominance and market power in the U.S. airline industry. The Rand Journal of Economics, 20(3), 344-365. https://www. jstor.org/stable/2555575
• Borenstein, S., & Rose, N. L. (1994). Competition and price dispersion in the U.S. Air-line industry. The Journal of Political Economy, 102(4), 653-683. https://doi.org/ 10.1086/261950
• Brueckner, J. K., Lee, D., & Singer, E. (2014). City-pairs versus airport-pairs: A market--definition methodology for the airline industry. Review of Industrial Organization, 44(1), 1-25. https://doi.org/10.1007/s11151-012-9371-7
• Boeing. (2019). Airline planning workshop: Network and fleet planning. Network and Fleet Planning Seminar, July 15-17, Motif Seattle, Seattle, WA.
• Chandrakanth, R. (2015). Is it time for secondary airports? SP's Aviation, 2. https:// www.sps-aviation.com/story/?id=1607
• Cohas, F. J., Belobaba, P. P., & Simpson, R. W. (1995). Competitive fare and frequency effects in airport market share modeling. Journal of Air Transport Management, 2(1), 33-45. https://doi.org/10.1016/0969-6997(95)00025-7
• Cook, G. N., & Goodwin, J. (2008). Airline networks: A comparison of hub-and-spoke and point-to-point systems. Journal of Aviation/Aerospace Education & Research, 17(2), 1. https://doi.org/10.15394/jaaer.2008.1443
• da Cunha, R. C. (2020). Impacto de alterações nos níveis de concorrência sobre a dis-persão e nível te tarifas no mercado aéreo brasileiro entre 2013 e 2018 (Master Thesis, Fundação Getulio Vargas, Escola de Economia de São Paulo). https:// bibliotecadigital.fgv.br/dspace/bitstream/handle/10438/28847/MPE_Dissertaà §Ã£o_RenanCunha_v2.pdf?sequence=1&isAllowed=y
• Dresner, M., Lin, J.-S. C., & Windle, R. (1996). The impact of low-cost carriers on air-port and route competition. Journal of Transport Economics and Policy, 30(3), 309-328. https://www.jstor.org/stable/20053709
• Doganis, R., & Graham, A. (1987). Airport management: The role of performance indi-cators (Research Report, No. 13). Transport Studies Group, Polytechnic of Central.
• Doganis, R. (2012). Flying-off course: The economics of international airlines. Routledge.
• Fiuza, E. P. S., & Martins Pioner, H. (2009). Estudo econômico sobre regulação e con-corrência no setor de aeroportos (Pesquisas e capacitação para a aviação civil. Estudos regulatórios; ER-01). ANAC-SEP. https://www.gov.br/anac/pt-br/centrais-de-conteudo/biblioteca/arquivos/estudosregulatorios.pdf
• GRU Airport. (2020). Histórico. https://www.gru.com.br/pt/institucional/sobre-gru-airport/ historico
• Harvey, G. (1987). Airport choice in a multiple airport region. Transportation Research, 21(6/Part A), 439-449. https://doi.org/10.1016/0191-2607(87)90033-1
• Hess, S., & Polak, J. W. (2005). Mixed logit modeling of airport choice in multi-airport regions. Journal of Air Transport Management, 11(2), 59-68. https://doi.org/10.1016/ j.jairtraman.2004.09.001
• Hess, S., & Polak, J. W. (2006). Exploring the potential for cross-nesting structures in airport-choice analysis: A case-study of the Greater London area. Transportation Research. Part E, Logistics and Transportation Review, 42(2), 63-81. https://doi. org/10.1016/j.tre.2005.09.001
• Infraero. (2019). Ponte aérea Rio-São Paulo 60 anos. https://www4.infraero.gov.br/ imprensa/noticias/ponte-aerea-rio-sao-paulo-60-anos/
• Infraero. (n.d.). Aeroportos mais acessados. https://www4.infraero.gov.br/aeroportos
• Ishii, J., Jun, S., & Van Dender, K. (2009). Air travel choices in multi-airport markets. Jour-nal of Urban Economics, 65(2), 216-227. https://doi.org/10.1016/j.jue.2008.12.001
• Jung, S.-Y., & Yoo, K.-E. (2016). A study on passengers' airport choice behavior using hybrid choice model: A case study of Seoul metropolitan area, South Korea. Jour-nal of Air Transport Management, 57, 70-79. https://doi.org/10.1016/j.jairtraman. 2016.07.007
• Gerardi, K. S., & Shapiro, A. H. (2009). Does competition reduce price dispersion? New evidence from the airline industry. The Journal of Political Economy, 117(1), 1-37. https://doi.org/10.1086/597328
• Gjerdåker, A., Lian, J. I., & Rønnevik, J. (2008). The road to Lofoten. Effects on busi-ness, tourism, and aviation (Report, No. 994). Oslo: Institute of Transport Econom-ics. https://www.toi.no/frontpage/the-road-to-lofoten-effects-on-business-tourism-and-aviation-article20101-25.html
• Gomes Brito, E. (2017). Evolução da Rede Aeroportuária Brasileira: O Caso do Trans-porte Internacional de Passageiros (Tese de Doutorado em Engenharia de Produção). Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa em Engenharia, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
• Lieshout, R. (2012). Measuring the size of an airport's catchment area. Journal of Transport Geography, 25, 27-34. https://doi.org/10.1016/j.jtrangeo.2012.07.004
• Loo, B. P. Y. (2008). Passengers' airport choice within multi-airport regions (MARs): Some insights from a stated preference survey at Hong Kong International Airport. Journal of Transport Geography, 16(2), 117-125. https://doi.org/10.1016/j.jtrangeo. 2007.05.003
• Moreno, M. B., & Muller, C. (2003). Airport choice in São Paulo Metropolitan Area: An application of the conditional logit model. Journal of Air Transortatation, 11(2), 23-42. https://ntrs.nasa.gov/api/citations/20050147589/downloads/20050147589.pdf
• Nayak, N. (2012). Estimation of the impact of single airport and multi-airport system delay on the National Airspace System using multivariate simultaneous models. College of Engineering, University of South Florida. https://digitalcommons. usf.edu/cgi/viewcontent.cgi?article=5377&context=etd
• de Neufville, R. (1995). Management of multi-airport systems: A development strategy. Journal of Air Transport Management, 2(2), 99-110. https://doi.org/10.1016/0969-6997(95)00035-6
• de Neufville, R. (2004). The future of secondary airports: Nodes of a parallel air transport network? Massachusetts Institute of Technology. https://silo.tips/download/the-future-of-secondary-airports-nodes-of-a-parallel-air-transport-network
• de Oliveira Dias, M., & de Oliveira Albergarias Lopes, R. (2019). The evolution of civil aviation in Brazil: Rio de Janeiro International Airport Galeão/Tom Jobim. JResLit Journal of Science and Technology. https://www.researchgate.net/publication/33 7398618_the_evolution_of_civil_aviation_in_brazil_rio_de_janeiro_international_airport_galeaotom_jobim
• Paliska, D., Drobne, S., Borruso, G., Gardina, M., & Fabjan, D. (2016). Passengers' airport choice and airports' catchment area analysis in cross-border Upper Adriatic multi-airport region. Journal of Air Transport Management, 57, 143-154. https:// doi.org/10.1016/j.jairtraman.2016.07.011
• de Paula Balan, B., Ferreira da Cunha, M. C., & da Cunha, R. C. (2020). Multi-airport cities in Brazil: A study of the evolution of supply and demand on the São Paulo and Rio de Janeiro systems (Graduate Student Works, No. 22). Embry-Riddle Aero-nautical University. https://commons.erau.edu/cgi/viewcontent.cgi?article=1021 &context=brazil-graduate-works
• Pels, E., Nijkamp, P., & Rietveld, P. (2003). Access to and competition between airports: A case study for the San Francisco Bay area. Transportation Research. Part A: Policy and Practice, 37(1), 71-83. https://doi.org/10.1016/S0965-8564(02)00007-1
• Pels, E., Njegovan, N., & Behrens, C. (2009). Low-cost airlines and airport competition. Transportation Research. Part E: Logistics and Transportation Review, 45(2), 335-344. https://doi.org/10.1016/j.tre.2008.09.005
• Perdana, F. A., & Moxon, R. (2014). Traffic distribution study on multi-airport systems in the Greater Jakarta Metropolitan Area (GJMA) and associated implications. Civil Engineering Forum. https://jurnal.ugm.ac.id/jcef/article/view/18899/12196
• RIOgaleão. (2020). Airport figures. https://www.riogaleao.com/corporativo/page/numeros -do-aeroporto
• de Souza, A. L. L. (2010). Análise comparativa do desempenho de aeroportos a nível mundial utilizando conceitos DEA. Universidade Federal Do Rio De Janeiro.
• Sun, X., Wandelt, S., Hansen, M., & Li, A. (2017). Multiple airport regions based on inter-airport temporal distances. Transportation Research. Part E: Logistics and Transportation Review, 101, 84-98. https://doi.org/10.1016/j.tre.2017.03.002
• Usami, M., Manabe, M., & Kimura, S. (2017). Airport choice and flight connectivity among domestic and international passengers - empirical analysis using passenger movement survey data in Japan. Journal of Air Transport Management, 58, 15-20. https://doi.org/10.1016/j.jairtraman.2016.08.018
• Wang, Y., Hu, M., Sui, D., Tian, Y., & Zhan, J. (2008). Departure scheduling in a multi-airport system (the 8th ATM Seminar 2009). Napa, CA; Air Traffic Management. https://www.semanticscholar.org/paper/Departure-Scheduling-in-a-Multi-airport-System-Wang-Hu/dc02ee183920cb2d0574cf5ee3ff71b5e7751aea
• Windle, R., & Dresner, M. (1995). Airport choice in multiple-airport regions. Journal of Transportation Engineering, 121(4), 332-337. https://doi.org/10.1061/(ASCE)0733 -947X(1995)121:4(332)
• Yang, C.-W., Lu, J.-L., & Hsu, C.-Y. (2014). Modeling joint airport and route choice behavior for international and metropolitan airports. Journal of Air Transport Man-agement, 39, 89-95. https://doi.org/10.1016/j.jairtraman.2014.05.001

Identyfikatory

DOI

10.22367/jem.2022.44.16