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RESEARCH PAPER
Performance Evaluation of Airports During the COVID-19 Pandemic
1
Malazgirt Vocational School, Muş Alparslan University, Turkey
Submission date: 2021-06-28
Final revision date: 2021-10-11
Acceptance date: 2021-10-25
Publication date: 2021-12-28
GNPJE 2021;308(4):23-53
KEYWORDS
JEL CLASSIFICATION CODES
ABSTRACT
Globalisation, international trade, tourism, and economic and technological
advances have contributed to the development of the aviation industry. In a globally competitive
environment, airports need to use their resources efficiently and evaluate their
performance to compete with their rivals. Data Envelopment Analysis (DEA) is a widely
used method in the performance evaluation of airports. This study was aimed to measure
the performance and ranking of selected major international airports in 2019 and the first
quarter of 2020 using the DEA method, the Technique for Order Preference by Similarity
to Ideal Solutions (TOPSIS) method, and the Evaluation Based on Distance from Average
Solution (EDAS) method. Efficiency analysis has been carried out using CCR-DEA models.
Later, performance evaluation of the alternatives was made according to the TOPSIS
and EDAS methods. In this study, the ranking of the airports has been compiled according
to the results of the DEA, TOPSIS and EDAS methods. The study found that the use
of the DEA method together with Multi-Criteria Decision-Making (MCDM) methods such
as TOPSIS and EDAS for the performance evaluation of airports allows a full and clear
ranking of decision-making units (DMUs).
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