Abstract
Purpose- Airports in Turkey can be grouped using by various methods. One of these methods is clustering. In this study, 55 airports operating in Turkey, were analyzed by clustering methods. Methodology- The airports are clustered according to similar features by the K-means method. The number of clusters was determined by using the elbow method. The clusters were verified by Ward's method. While clustering was being carried out, basic features such as passengers using airports, cargo carried by airports, and number of flights were used. Findings- In this study, it has been seen that the airports have been divided into six clusters, two of which have just one element. It is also understood that five major airports(Istanbul Ataturk, Istanbul Sabiha Gokcen, Ankara Esenboga, Izmir Adnan Menderes, Antalya) are quite different from other airports. Conclusion- As a result, in this study, airports were clustered and similar airports were identified and a resource was prepared to assist managers in thinking that the solutions to common problems would be effective at similar airports.
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