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Journals / Trafik ve Ulaşım Araştırmaları Dergisi / 2026 / Cilt: 8 Sayı: 1

Evaluation of Urban Intelligent Transportation Systems from an Environmental Sustainability Perspective Using the TOPSIS Method

Çevresel Sürdürülebilirlik Perspektifinden Şehir İçi Akıllı Ulaşım Sistemlerinin TOPSIS Analizi ile Değerlendirilmesi

Rukiye Gizem Öztaş Karlı(BARTIN ÜNİVERSİTESİ, MÜHENDİSLİK, MİMARLIK VE TASARIM FAKÜLTESİ, PEYZAJ MİMARLIĞI BÖLÜMÜ)0000-0003-0999-418X
Pages
1–14
Publication Date
2025-04-30
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AI Summary & Key Takeaways

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

The findings provide important information for urban planners and policy makers and contribute to the identification of the most appropriate options in line with the environmental sustainability goals of intelligent transportation systems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study uses the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to evaluate the performance of intelligent transportation systems from an environmental sustainability perspective.
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Key Findings & Data:EBS shows superior performance in terms of carbon emission reduction and energy efficiency, and optimizes resource use by reducing fossil fuel use.
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Conclusion & Impact:The findings provide important information for urban planners and policy makers and contribute to the identification of the most appropriate options in line with the environmental sustainability goals of intelligent transportation systems.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Akıllı bisiklet paylaşım sistemi · elektrikli otobüs sistemi · otonom araç paylaşım sistemi

Abstract

This study uses the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to evaluate the performance of intelligent transportation systems from an environmental sustainability perspective. Four different transportation systems were analyzed: electric bus system (EBS), shared electric scooter system (SESS), autonomous vehicle sharing system (AVSS) and intelligent bicycle sharing system (IBSS). The analysis was carried out in line with the criteria of carbon emission reduction, energy efficiency, resource utilization, impact on air quality and use of renewable energy. According to the analysis results, the EBS performed the best with the highest relative proximity value. EBS shows superior performance in terms of carbon emission reduction and energy efficiency, and optimizes resource use by reducing fossil fuel use. IBSS ranked second and stands out as an environmentally friendly alternative. The AVSS ranks third and performs lower than the other systems in terms of energy efficiency and resource utilization. The SESS performed the lowest. The findings provide important information for urban planners and policy makers and contribute to the identification of the most appropriate options in line with the environmental sustainability goals of intelligent transportation systems.

Özet

Bu çalışma, çevresel sürdürülebilirlik perspektifinden akıllı ulaşım sistemlerinin performanslarını değerlendirmek amacıyla TOPSIS (İdeal Çözüme Benzerlik ile Tercih Sıralama Tekniği) yöntemini kullanmıştır. Elektrikli otobüs sistemi (EOS), paylaşımlı elektrikli skuter sistemi (PESS), otonom araç paylaşım sistemi (OAPS) ve akıllı bisiklet paylaşım sistemi (ABPS) olmak üzere dört farklı ulaşım sistemi analiz edilmiştir. Analiz; karbon emisyonlarının azaltılması, enerji verimliliği, kaynak kullanımı, hava kalitesine etki ve yenilenebilir enerji kullanımı kriterleri doğrultusunda gerçekleştirilmiştir. Analiz sonuçlarına göre, EOS en yüksek göreceli yakınlık değeriyle en iyi performansı sergilemiştir. EOS, karbon emisyonlarının azaltılması ve enerji verimliliği konularında üstün performans göstermekte ve fosil yakıt kullanımını azaltarak kaynak kullanımını optimize etmektedir. ABPS ikinci sırada yer alarak çevre dostu bir alternatif olarak öne çıkmaktadır. OAPS üçüncü sırada yer almakta olup, enerji verimliliği ve kaynak kullanımı açısından diğer sistemlere göre daha düşük performans sergilemektedir. PESS ise en düşük performansı göstermiştir. Bulgular, şehir plancıları ve politika yapıcılar için önemli bilgiler sunmakta olup, akıllı ulaşım sistemlerinin çevresel sürdürülebilirlik hedefleri doğrultusunda en uygun seçeneklerin belirlenmesine katkı sağlamaktadır.

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Cite This Article

Karlı, R. G. Ö. (2025). Evaluation of Urban Intelligent Transportation Systems from an Environmental Sustainability Perspective Using the TOPSIS Method. Trafik ve Ulaşım Araştırmaları Dergisi, Cilt: 8 Sayı: 1, 1–14. https://doi.org/10.38002/tuad.1496774

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