Forecasting passenger movement for Brazilian airports network based on the segregation of primary and secondary demand applied to Brazilian civil aviation policies planning
R.O. de Paula,
M.L. Vilela and
Transport Policy, 2019, vol. 77, issue C, 23-29
The paper describes a model developed in the Brazilian National Secretariat of Civil Aviation for predicting the movement of passengers by commercial flights at airports, consolidating two types of demand, a primary, captive demand, that exclusively utilizes the airport of the respective Airport Zone (ZA), as long as it supplies flights. To that primary demand, we add a secondary demand, which is residual and more volatile, depending on the distance from the airport with commercial flights. Four examples are presented showing the results of the model in relation to the competition between airports and catchment areas.
Keywords: Passenger movement forecast; Primary demand; Secondary demand; Gravitational model (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:77:y:2019:i:c:p:23-29
Ordering information: This journal article can be ordered from
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Transport Policy is currently edited by Y. Hayashi
More articles in Transport Policy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().