Regular domestic air passenger market dynamics: The Brazilian case

Elton Fernandes, Ricardo Rodrigues Pacheco, Erivelton Pires Guedes, Vicente Aprigliano

Article ID: 4908
Vol 8, Issue 6, 2024

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Abstract


Brazil occupies a prominent position as one of the largest domestic air passenger markets globally. In May 2019, OAG Aviation Worldwide Limited (OAG), a renowned global travel data provider, ranked Brazil as the world’s 6th largest domestic market. This study identifies and meticulously analyses statistical trends in how service levels affect passenger demand on domestic air routes in Brazil. To that end, it employs a panel-data gravity model incorporating service as an instrumental variable. The findings confirm the influence of traditional gravity explanatory variables, while also contributing novel insights into the impact of service levels on domestic routes. The analysis reveals that, while factors such as income and distance play a fundamental role in shaping domestic demand, level of service emerges as a crucial determinant on regional connections. Overall, the statistics suggest growing divergences between Brazilian airlines and regional air transport. Accordingly, substantial changes are necessary in both government policies and the services offered by the airline industry in order to harness the full potential of Brazil’s domestic air transport passenger market and foster regional development.


Keywords


Brazil; domestic air passenger market; route service level; panel-data gravity model; regional connections; government policy

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References


ACI. (2012). Global Traffic Forecast 2012-2031. Airports Council International, Montreal.

ANAC. (2020). Dados e estatísticas. Agência Nacional de Aviação Civil (ANAC).

ANAC. (2022). Aeródromos. https://www.anac.gov.br/acesso-a-informacao/dados-abertos/areas-de-atuacao/aerodromos

Bendinelli, W. E., & Oliveira, A. V. M. (2015). Econometric modeling of demand at privatized airports: a case study of Confins International Airport, Belo Horizonte (Portuguese). Journal of Transport Literature, 9(2), 20–24. https://doi.org/10.1590/2238-1031.jtl.v9n2a4

Bhadra, D., & Kee, J. (2008). Structure and dynamics of the core US air travel markets: A basic empirical analysis of domestic passenger demand. Journal of Air Transport Management, 14(1), 27–39. https://doi.org/10.1016/j.jairtraman.2007.11.001

Boeing. (2014). Current Market Outlook 2014-2033, Market Analysis: Boeing Commercial Airplanes, Seattle.

Button, K. J., Brugnoli, A., Martini, G. et al. (2015). Connecting African urban areas: airline networks and intra-sub-Saharan trade. Journal of Transport Geography, 42, 84–89. https://doi.org/10.1016/j.jtrangeo.2014.11.007

Button, K. J., Martini, G., & Scotti, D. (2015). African Decolonisation and Air Transportation. Journal of Transport Economics and Policy, 49(4), 626–639.

Croissant, Y., & Millo, G. (2008). Panel Data Econometrics in R: The plm Package. Journal of Statistical Software, 27(2), 1–43. https://doi.org/10.18637/jss.v027.i02

Das, A. K., Bardhan, A. K., & Fageda, X. (2022). What is driving the passenger demand on new regional air routes in India: A study using the gravity model. Case Studies on Transport Policy, 10(1), 637–646. https://doi.org/10.1016/j.cstp.2022.01.024

Díaz Olariaga, O., Bolívar, N., Gutiérrez, R. M., et al. (2018). Gravitational analysis of the air transport network. Application to the case of Colombia. Transportation Research Procedia, 33, 51–58. https://doi.org/10.1016/j.trpro.2018.10.075

Fernandes, E., & Pacheco, R. R. (2010). The causal relationship between GDP and domestic air passenger traffic in Brazil. Transportation Planning and Technology, 33(7), 569–581. https://doi.org/10.1080/03081060.2010.512217

Fernandes, E., & Pacheco, R. R. (2016). Air Transport in Brazil: a market vision (Portuguese). Elsevier, Rio de Janeiro.

Grosche, T., Rothlauf, F., & Heinzl, A. (2007). Gravity models for airline passenger volume estimation. Journal of Air Transport Management, 13(4), 175–183. https://doi.org/10.1016/j.jairtraman.2007.02.001

Harmel, C. (2012). Outlook 2031: Airport passenger numbers will ‘more than double’ to 12 billion. Airport World—The Magazine of the Airports Council International. Available online: http://www.airport-world.com/home/item/2022-outlook-2031 (accessed on 1 December 2012).

Hazledine, T. (2009). Border effects for domestic and international Canadian passenger air travel. Journal of Air Transport Management, 15(1), 7–13. https://doi.org/10.1016/j.jairtraman.2008.09.007

Hsiao, C. (1986). Analysis of panel data. Cambridge University Press.

IBGE. (2021). Produto interno bruto dos municípios. IBGE. https://www.ibge.gov.br/estatisticas/economicas/contas-nacionais/9088-produto-interno-bruto-dos-municipios.html

Inkinen, T., & Pyyhtiä, M. (2013). Geographical specialization and connectivity of air passenger flows from Northern Europe to Asia and US. Asian Geographer, 30(2), 87–104. https://doi.org/10.1080/10225706.2012.735431

Khadaroo, J., & Seetanah, B. (2008). The role of transport infrastructure in international tourism development: A gravity model approach. Tourism Management, 29(5), 831–840. https://doi.org/10.1016/j.tourman.2007.09.005

Klodt, H. (2004). Border Effects in Passenger Air Traffic. Kyklos, 57(4), 519–532. https://doi.org/10.1111/j.0023-5962.2004.00267.x

Lohmann, G., & Vianna, C. (2016). Air route suspension: The role of stakeholder engagement and aviation and non-aviation factors. Journal of Air Transport Management 53, 199–210. https://doi.org/10.1016/j.jairtraman.2016.03.007

Marazzo, M., Scherre, R., & Fernandes, E. (2010). Air transport demand and economic growth in Brazil: A time series analysis. Transportation Research Part E: Logistics and Transportation Review, 46(2), 261–269. https://doi.org/10.1016/j.tre.2009.08.008

Matsumoto, H. (2004). International urban systems and air passenger and cargo flows: some calculations. Journal of Air Transport Management, 10(4), 239–247. https://doi.org/10.1016/j.jairtraman.2004.02.003

Matsumoto, H. (2007). International air network structures and air traffic density of world cities. Transportation Research Part E: Logistics and Transportation Review, 43(3), 269–282. https://doi.org/10.1016/j.tre.2006.10.007

Matsumoto, H., & Domae, K. (2019). Assessment of competitive hub status of cities in Europe and Asia from an international air traffic perspective. Journal of Air Transport Management, 78, 88–95. https://doi.org/10.1016/j.jairtraman.2019.01.006

OAG. (2022). Airline frequency and capacity trend statistics: Top 10 biggest domestic markets seats November 2022 v 2021 & 2019. Available online: https://www.oag.com/frequency-capacity-statistics (accessed on 1 November 2022).

SAC. (2015). Regional aviation: Connecting Brazil. Available online: http://www.aviacao.gov.br/noticias/2015/01/programa-de-desenvolvimento-aviacao-regional-quer-democratizar-o-transporte-aereo-no-brasil-1/aviacao-regional-versao-site-v4-final.pdf (accessed on 1 November 2015).

Tsui, W. H. K., & Fung, M. K.Y. (2016). Analysing passenger network changes: The case of Hong Kong. Journal of Air Transport Management, 50, 1–11. https://doi.org/10.1016/j.jairtraman.2015.09.001

World Bank. (2022). World Bank Development indicators. Available online: https://databank.worldbank.org/source/world-development-indicators (accessed on 1 November 2015).

Zhang, Y., & Findlay, C. (2014). Air transport policy and its impacts on passenger traffic and tourist flows. Journal of Air Transport Management, 34, 42–48. https://doi.org/10.1016/j.jairtraman.2013.07.010

Zou, B., & Hansen, M. (2012). Flight delays, capacity investment and social welfare under air transport supply-demand equilibrium. Transportation Research Part A: Policy and Practice, 46(6), 965–980. https://doi.org/10.1016/j.tra.2012.02.015




DOI: https://doi.org/10.24294/jipd.v8i6.4908

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