Estimating The Efficiency Of Airports In Turkey: Utilization Of Data Envelopment Analysis And Artifical Neural Network
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ege Univ, Fac Economics & Admin Sciences
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Especially 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.
Açıklama
Anahtar Kelimeler
Airport Efficiency, Data Envelopment Analysis, Artifical Neural Network
Kaynak
Ege Academic Review
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
16
