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Journals / Alanya Akademik Bakış / 2026 / Cilt: 10 Sayı: 1

Comparison of State-Owned and Build-Operate-Transfer Model Airports: A Clustering Analysis of Financial and Operational Efficiency

Tüzün Tolga İnan(Bahçeşehir Üniversitesi)0000-0002-5937-9217
Pages
25–42
Publication Date
2026-01-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The efficiency and management structure of airports play a crucial role in the global aviation industry, impacting financial sustainability, operational performance, and overall service quality.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The efficiency and management structure of airports play a crucial role in the global aviation industry, impacting financial sustainability, operational performance, and overall service quality.
📊
Key Findings & Data:This study examines the differences between State-Owned and Build-Operate-Transfer (BOT) model airports, using a clustering analysis approach to categorize airports based on financial and operational parameters.
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Conclusion & Impact:From a managerial perspective, the study highlights the need for adaptive financial models, efficient privatization strategies, and data-driven decision-making to enhance the economic sustainability of state-owned airports.
🔬Design:Modeling & Simulation
📍Scope:2018 Verileri
⚙️Variables:Havalimanı Yönetimi · Yap-İşlet-Devret Modeli · Kümeleme Analizi

Abstract

The efficiency and management structure of airports play a crucial role in the global aviation industry, impacting financial sustainability, operational performance, and overall service quality. This study examines the differences between State-Owned and Build-Operate-Transfer (BOT) model airports, using a clustering analysis approach to categorize airports based on financial and operational parameters. Türkiye, a key player in global aviation, is selected as the case study related to analyzing 49 airports (43 state-owned and 6 BOT-operated) from 2018 to 2024. Using K-Means Clustering, airports are classified into four distinct categories based on passenger traffic, aircraft movements, navigational revenues, terminal service revenues, and business service revenue paameters. The findings indicate that BOT model airports demonstrate higher financial efficiency and operational sustainability compared to their state-owned counterparts. From a managerial perspective, the study highlights the need for adaptive financial models, efficient privatization strategies, and data-driven decision-making to enhance the economic sustainability of state-owned airports.

Özet

Havalimanlarının verimliliği ve yönetim yapısı, finansal sürdürülebilirliği, operasyonel performansı ve genel hizmet kalitesini etkileyerek küresel havacılık sektöründe çok önemli bir rol oynamaktadır. Bu çalışma havalimanlarını finansal ve operasyonel parametrelere göre sınıflandırmak için bir kümeleme analizi yaklaşımı kullanarak Devlete ait ve Yap-İşlet-Devret (YİD) modeli havalimanları arasındaki farkları incelemektedir. Küresel havacılıkta önemli bir oyuncu olan Türkiye vaka çalışması olarak seçilmiş ve 2018-2024 yılları arasında 49 havalimanı (43 devlete ait ve 6 YİD işletmeli) analiz edilmiştir. K-Ortalamalar Kümelemesi kullanılarak havalimanları, yolcu trafiği, uçak hareketleri, seyrüsefer gelirleri, terminal hizmet gelirleri ve ticari hizmet geliri parametrelerine göre dört farklı kategoride sınıflandırılmıştır. Bulgular YİD modeli havalimanlarının devlete ait benzerlerine kıyasla daha yüksek finansal verimlilik ve operasyonel sürdürülebilirlik sergilediğini göstermektedir. Yönetimsel bir perspektiften bakıldığında çalışma devlete ait havalimanlarının ekonomik sürdürülebilirliğini artırmak için uyarlanabilir finansal modellere, etkin özelleştirme stratejilerine ve veriye dayalı karar alma süreçlerine duyulan ihtiyacı vurgulamaktadır.

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Cite This Article

İnan, T. T. (2026). Comparison of State-Owned and Build-Operate-Transfer Model Airports: A Clustering Analysis of Financial and Operational Efficiency. Alanya Akademik Bakış, Cilt: 10 Sayı: 1, 25–42. https://doi.org/10.29023/alanyaakademik.1634219

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