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

Author

Listed:
  • de Paula Balan Bruno

    (Graduate Studies, Graduate Student Embry Riddle Aeronautical University, Daytona Beach, USA)

  • da Cunha Maria Cláudia Ferreira

    (Graduate Studies, Graduate Student Embry Riddle Aeronautical University, Daytona Beach, USA)

  • da Cunha Renan Cipriano

    (Graduate Studies, Graduate Student Embry Riddle Aeronautical University, Daytona Beach, USA)

  • Halawi Leila

    (Graduate Studies, Faculty of Aviation, Embry Riddle Aeronautical University, Daytona Beach, USA)

Abstract

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.

Suggested Citation

  • de Paula Balan Bruno & da Cunha Maria Cláudia Ferreira & da Cunha Renan Cipriano & Halawi Leila, 2022. "Aviation supply and demand in the São Paulo and Rio de Janeiro systems evolution: An exploratory study," Journal of Economics and Management, Sciendo, vol. 44(1), pages 393-419, January.
    • Handle: RePEc:vrs:jecman:v:44:y:2022:i:1:p:393-419:n:13
    DOI: 10.22367/jem.2022.44.16
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    References listed on IDEAS

    as
    1. Lieshout, Rogier, 2012. "Measuring the size of an airport’s catchment area," Journal of Transport Geography, Elsevier, vol. 25(C), pages 27-34.
    2. Sun, Xiaoqian & Wandelt, Sebastian & Hansen, Mark & Li, Ang, 2017. "Multiple airport regions based on inter-airport temporal distances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 84-98.
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    More about this item

    Keywords

    aviation supply and demand; evolution; Brazil; São Paulo; Rio de Janeiro; airports;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

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