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Journals / Bitlis Eren Üniversitesi Fen Bilimleri Dergisi / 2025 / Volume: 14 Issue: 4

Mitigating Urban Traffic: Identifying Potential Parking Lots Using GIS and AHP Methods in Yalova, Türkiye

Taha Kaplan(Yalova University, Institute of Graduate Studies, Transportation Engineering Department, Transportation and Logistic Engineering Graduate Program (Master of Science))0009-0007-0722-1446
Eray Can(Yalova Üniversitesi, Mühendislik Fakültesi, Ulaştırma Mühendisliği Bölümü, 77200,Yalova, Türkiye)0000-0002-8192-1703
Pages
—
Publication Date
2025-12-31
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AI Summary & Key Takeaways

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

The weighted sub-component maps were integrated in the QGIS environment to create the final parking lot evaluation map for Yalova, which will contribute to relieving urban traffic, and results and recommendations regarding potential parking lot locations were provided.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Today, the increasing migration from rural to urban areas, the rising appeal of cities as hubs, and the contribution of unplanned urbanization have led to an increase in urban traffic density, which negatively affects daily urban life.
📊
Key Findings & Data:The insufficient number of urban parking lots and the rapid increase in the number of vehicles are among the other significant factors negatively affecting urban traffic.
💡
Conclusion & Impact:The weighted sub-component maps were integrated in the QGIS environment to create the final parking lot evaluation map for Yalova, which will contribute to relieving urban traffic, and results and recommendations regarding potential parking lot locations were provided.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Geographic Information Systems (GIS) · Analytic Hierarchy Process (AHP) · Parking Lot Planning

Abstract

Today, the increasing migration from rural to urban areas, the rising appeal of cities as hubs, and the contribution of unplanned urbanization have led to an increase in urban traffic density, which negatively affects daily urban life. The insufficient number of urban parking lots and the rapid increase in the number of vehicles are among the other significant factors negatively affecting urban traffic. In today's cities with high traffic, increasing the number of parking lots and encouraging their use has a significant impact on alleviating urban traffic congestion. In this regard, using Geographic Information Systems (GIS) together with the Analytic Hierarchy Process (AHP), which is one of the Multi-Criteria Decision-Making methods, helps achieve highly efficient result. In this study, the issues related to parking lots, which is one of the causes of increased traffic congestion in Yalova, a city located between Türkiye's highly populated and developed metropolitan areas, were examined. The aim of this study is to identify new optimal parking lots using the integration of Geographic Information Systems (GIS) and Analytic Hierarchy Process (AHP) methods to relieve urban traffic in the city. During the study, various sub-component maps were created within the Quantum Geographic Information Systems (QGIS) environment, and the weights of these maps were determined through survey studies using the AHP method. The weighted sub-component maps were integrated in the QGIS environment to create the final parking lot evaluation map for Yalova, which will contribute to relieving urban traffic, and results and recommendations regarding potential parking lot locations were provided.

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Cite This Article

Kaplan, T., Can, E. (2025). Mitigating Urban Traffic: Identifying Potential Parking Lots Using GIS and AHP Methods in Yalova, Türkiye. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, Volume: 14 Issue: 4. https://doi.org/10.17798/bitlisfen.1759305

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