Sustainability-oriented evaluation of renewable energy integration in smart airports using a hybrid fuzzy MCDM framework
Case Studies on Transport Policy, cilt.24, 2026 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 24
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.cstp.2026.101770
- Dergi Adı: Case Studies on Transport Policy
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Geobase
- Anahtar Kelimeler: DEMATEL, Fuzzy AHP, Fuzzy MCDM, Renewable energy integration, Smart airports, Sustainability, TOPSIS, Türkiye, VIKOR
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
Airports play a critical role in sustainability and green transformation goals due to their high energy consumption and carbon emissions. Within the scope of the smart airport concept, the integration of renewable energy systems has become a strategic necessity, especially in countries with rapidly growing air transportation such as Turkey. However, decisions regarding renewable energy integration; It has a complex structure that requires the evaluation of technical, environmental, economic and managerial criteria at the same time and contains uncertainty. In this study, a hybrid Fuzzy Multi-Criteria Decision Making (MCDM) framework is proposed to evaluate the sustainability and green transformation performance of renewable energy integration alternatives for smart airports in Turkey. The proposed approach involves determining criterion weights with Fuzzy AHP, analyzing causal relationships between criteria with Fuzzy DEMATEL, and ranking alternatives using Fuzzy TOPSIS and Fuzzy VIKOR methods. Solar energy, wind energy, hybrid PV-wind systems and geothermal energy alternatives were evaluated through a case study. The findings reveal that energy performance is the most influential criterion in the decision process and that hybrid PV-wind systems show the highest sustainability performance in all methods. The results of the sensitivity analysis show that despite the changes in the criterion weights, the alternative ranking did not change and the proposed model produced stable (robust) results. As a result, this study provides a practicable, reliable and holistic decision support tool in renewable energy planning for smart airports in Turkey; It provides important outputs for strategic decisions towards sustainable and carbon–neutral airport goals.