Estimating The Efficiency Of Airports In Turkey: Utilization Of Data Envelopment Analysis And Artifical Neural Network

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dc.contributor.authorBolat, Bersam
dc.contributor.authorTemur, Gul T.
dc.contributor.authorGurler, Haktan
dc.date.accessioned2024-03-13T10:33:08Z
dc.date.available2024-03-13T10:33:08Z
dc.date.issued2016
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractEspecially during the last years, both government and private sectors have made investments such as new airports constructions, an expansion of air fleet, and entrance of new firms to aviation sector. These developments in air transport have brought the question whether airports work efficiently. In this study, firstly an efficiency analysis of airports which are located in Turkey is conducted by using Data Envelopment Analysis (DEA). The results of DEA show that 19 airports in 41 airports work efficiently in Turkey. After DEA analysis, we build an Artificial Neural Network model which helps to predict an efficiency of existing and alternative airports by utilizing same data.en_US
dc.identifier.doi10.21121/eab.2016OZEL24424
dc.identifier.endpage10en_US
dc.identifier.issn1303-099X
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.21121/eab.2016OZEL24424
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3789
dc.identifier.volume16en_US
dc.identifier.wosWOS:000410806200001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherEge Univ, Fac Economics & Admin Sciencesen_US
dc.relation.ispartofEge Academic Reviewen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAirport Efficiencyen_US
dc.subjectData Envelopment Analysisen_US
dc.subjectArtifical Neural Networken_US
dc.titleEstimating The Efficiency Of Airports In Turkey: Utilization Of Data Envelopment Analysis And Artifical Neural Networken_US
dc.typeReview Articleen_US

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