dc.contributor |
Universitat Rovira i Virgili. Departament d'Economia |
dc.contributor |
Universitat Rovira i Virgili. Centre de Recerca en Economia Industrial i Economia Pública |
dc.contributor.author |
Fageda, Xavier, 1975- |
dc.contributor.author |
Flores-Fillol, Ricardo |
dc.date.accessioned |
2016-04-14T16:58:51Z |
dc.date.available |
2016-04-14T16:58:51Z |
dc.date.created |
2015-11 |
dc.date.issued |
2015 |
dc.identifier.uri |
http://hdl.handle.net/2072/260960 |
dc.format.extent |
30 p. |
dc.language.iso |
eng |
dc.publisher |
Universitat Rovira i Virgili. Departament d'Economia |
dc.relation.ispartofseries |
Documents de treball del Departament d'Economia;2015-30 |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.source |
RECERCAT (Dipòsit de la Recerca de Catalunya) |
dc.subject.other |
Aeroports |
dc.subject.other |
Aviació comercial |
dc.subject.other |
Oligopolis |
dc.subject.other |
Transport |
dc.title |
How Do Airlines React to Airport Congestion? The Role of Networks |
dc.type |
info:eu-repo/semantics/workingPaper |
dc.subject.udc |
338 - Situació econòmica. Política econòmica. Gestió, control i planificació de l'economia. Producció. Serveis. Turisme. Preus |
dc.embargo.terms |
cap |
dc.description.abstract |
In this paper, we investigate the relationship between airline network structure and airport
congestion. More specifically, we study the ways in which airlines adjust frequencies to
delays (as a measure of airport congestion) depending on the network type they operate.
Our results suggest that network structure has a fundamental impact. Thus, while airlines
operating fully-connected configurations reduce frequencies in response to more frequent
delays, airlines operating hub-and-spoke structures increase frequencies. Therefore, network airlines have incentives to keep frequencies high even if this is at the expense of a
greater congestion at their hub airports. This result sheds light on previously unclear
results in the literature.
Keywords: airline networks; airport congestion; delays.
JEL Classification Numbers: L13; L93; R41. |