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A Novel Multi-Criteria Decision-Making Framework for Evaluating Airport Performance: Empirical Evidence from Türkiye

Emre Kadir ÖZEKENCİ

Economic Computation and Economic Cybernetics Studies and Research2026https://doi.org/10.24818/18423264/60.1.26.16article
ABDC C
Weight
0.50

What the paper says

Measuring airport performance is crucial for both local and global transportation systems, as it drives economic development, facilitates international trade, and enhances regional connectivity.This research aims to assess the performance of major airports in Trkiye by utilising a hybrid Multi-Criteria Decision-Making (MCDM) model.This model combines the LODECI-based ALPAS approach with the CORASO and RAWEC methods to assess airport performance.The data for this study are obtained from the 2024 Annual Activity Report published by DHMI.The LODECI method is employed to evaluate a range of criteria, while the ALPAS, CORASO, and RAWEC methods are employed to rank alternatives.Furthermore, the overall performance of Turkish airports is analysed using the Borda count method.Results from the LODECI indicate that international cargo and freight traffic, as well as the availability of check-in counters, are important factors influencing performance.The findings identify Istanbul Airport, Sabiha Gken Airport, and Antalya Airport as the most efficient and competitive airports in Trkiye.A sensitivity analysis is also performed to assess the robustness of the results.Together, this paper serves as a comprehensive guide for airport policymakers aiming to enhance long-term competitiveness.

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https://doi.org/https://doi.org/10.24818/18423264/60.1.26.16

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@article{emre2026,
  title        = {{A Novel Multi-Criteria Decision-Making Framework for Evaluating Airport Performance: Empirical Evidence from Türkiye}},
  author       = {Emre Kadir ÖZEKENCİ},
  journal      = {Economic Computation and Economic Cybernetics Studies and Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.24818/18423264/60.1.26.16},
}

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A Novel Multi-Criteria Decision-Making Framework for Evaluating Airport Performance: Empirical Evidence from Türkiye

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.