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

Bolat B., Temur G. T. , GÜRLER H.

EGE ACADEMIC REVIEW, vol.16, pp.1-10, 2016 (ESCI) identifier

  • Publication Type: Article / Review
  • Volume: 16
  • Publication Date: 2016
  • Doi Number: 10.21121/eab.2016ozel24424
  • Journal Indexes: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1-10
  • Keywords: Airport Efficiency, Data Envelopment Analysis, Artifical Neural Network, DEA, PERFORMANCE
  • Istanbul Technical University Affiliated: Yes


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.