Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/55720
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dc.contributor.authorPérez Rodríguez, Jorge Vicenteen_US
dc.contributor.authorPérez Sánchez, José Maríaen_US
dc.contributor.authorGómez Déniz, Emilioen_US
dc.date.accessioned2019-06-10T11:37:07Z-
dc.date.available2019-06-10T11:37:07Z-
dc.date.issued2017en_US
dc.identifier.issn0969-6997en_US
dc.identifier.urihttp://hdl.handle.net/10553/55720-
dc.description.abstractThe main purpose of this paper is to present an asymmetric logit probability model to estimate and predict the daily probabilities of delay in aircraft arrivals. The proposed model takes into account statistical regularity, noting that more arrivals are on time than delayed, thus reflecting an asymmetric pattern of behaviour. The data analysed were obtained from the BTS and IATA databases for December 2014, corresponding to delays within the US airspace system for each carrier, measured at various US airports. The model was evaluated by analysing both in sample and out of sample data, for main and control samples. The performance of the proposed asymmetric Bayesian logit model was compared with that of two others: frequentist logit and symmetric Bayesian logit. The main conclusion drawn is that the model we propose obtains the best fit, according to the statistics considered, and identifies a novel delaying factor, namely distance, which is not identified by the other models analysed.en_US
dc.languageengen_US
dc.relation.ispartofJournal of Air Transport Managementen_US
dc.sourceJournal of Air Transport Management [ISSN 0969-6997], v. 62, p. 90-98en_US
dc.subject530703 Modelos y teorías del desarrollo económicoen_US
dc.subject531212 Transportes y comunicacionesen_US
dc.subject.otherAirportsen_US
dc.subject.otherAsymmetric linken_US
dc.subject.otherDelayen_US
dc.subject.otherLogit modelsen_US
dc.subject.otherBayesian estimationen_US
dc.titleModelling the asymmetric probabilistic delay of aircraft arrivalen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jairtraman.2017.03.001
dc.identifier.scopus85015405467
dc.identifier.isi000403636300010-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.authorscopusid56216749800
dc.contributor.authorscopusid57193653147
dc.contributor.authorscopusid15724912000
dc.identifier.eissn1873-2089-
dc.description.lastpage98-
dc.description.firstpage90-
dc.relation.volume62-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000403636300010-
dc.identifier.ulpgces
dc.description.sjr0,981
dc.description.jcr2,038
dc.description.sjrqQ1
dc.description.jcrqQ3
dc.description.ssciSSCI
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Análisis Económico Aplicado-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-6738-9191-
crisitem.author.orcid0000-0002-7491-4345-
crisitem.author.orcid0000-0002-5072-7908-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNamePérez Rodríguez, Jorge Vicente-
crisitem.author.fullNamePérez Sánchez, José María-
crisitem.author.fullNameGómez Déniz, Emilio-
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