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Evaluating the Spatial Impacts of Climatic Conditions on Walkability through Multi-Criteria Decision-Making Methods and Game Theory: The Case of Konak District, İzmir

Yıl 2026, Cilt: 7 Sayı: 1, 166 - 194, 26.03.2026
https://doi.org/10.48123/rsgis.1796370
https://izlik.org/JA25YL65UX

Öz

This study aims to evaluate urban walkability through a comprehensive multi-criteria decision-making (MCDM) approach that incorporates the impacts of climate conditions. Konak District in İzmir, characterized by its dense urban fabric and diverse topography, was selected as the study area. Criterion weights were determined using the Analytic Hierarchy Process (AHP), the Entropy Weighting Method (EWM), and subsequently integrated with Game Theory (GT) to address imbalances between subjectivity and objectivity. Spatial decision maps were produced using Geographic Information Systems (GIS) and the Weighted Linear Combination (WLC) method. The findings indicate that transportation and climate conditions are the most influential determinants of walkability. At the sub-criterion level, main roads, slope, and climate-related indicators emerged as critical factors. Area analyses revealed that the inclusion of climate conditions data reduced high-suitability zones from 56.41% to 50.20%, while low-suitability zones increased from 1.38% to 11.03%. Methodologically, the study provides an original decision model that integrates expert judgment with data-driven approaches; practically, it demonstrates the necessity of incorporating climate resilience into urban walkability planning. The proposed framework offers a transferable decision-support tool for promoting sustainable and equitable development in climate-sensitive urban areas.

Kaynakça

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İklimsel Koşulların Yürünebilirlik Üzerindeki Mekânsal Etkilerinin Çok Kriterli Karar Verme Yöntemleri ve Oyun Teorisi ile Değerlendirilmesi: İzmir Konak İlçesi Örneği

Yıl 2026, Cilt: 7 Sayı: 1, 166 - 194, 26.03.2026
https://doi.org/10.48123/rsgis.1796370
https://izlik.org/JA25YL65UX

Öz

Bu çalışma, iklimsel koşulların etkilerini de içeren bütüncül birçok kriterli karar verme (ÇKKV) yaklaşımı ile kentsel yürünebilirliğin değerlendirilmesini amaçlamaktadır. Yoğun kentsel dokuya ve çeşitlilik gösteren topoğrafyaya sahip olması nedeniyle İzmir’in Konak ilçesi çalışma alanı olarak seçilmiştir. Kriter ağırlıkları Analitik Hiyerarşi Süreci (AHP) ve Entropi Ağırlıklandırma Yöntemi (EWM) ile belirlenmiş, ardından öznellik ve nesnellik arasındaki dengesizlikleri gidermek için Oyun Teorisi (GT) ile bütünleştirilmiştir. Coğrafi Bilgi Sistemleri (CBS) ve Ağırlıklı Doğrusal Kombinasyon (WLC) yöntemi kullanılarak mekânsal karar haritaları üretilmiştir. Bulgular, ulaşım ve iklimsel koşul kriterlerinin yürünebilirliğin en etkili belirleyicileri olduğunu göstermektedir. Alt kriterler düzeyinde ana yol, eğim ve iklim koşulları göstergeleri öne çıkmıştır. Alan analizleri, iklim koşulları verilerinin eklenmesiyle yüksek uygunluklu alanların %56,41’den %50,20’ye gerilediğini, düşük uygunluklu alanların ise %1,38’den %11,03’e yükseldiğini ortaya koymuştur. Çalışma, yöntemsel açıdan uzman görüşü ve veri temelli yaklaşımları bütünleştiren özgün bir karar modeli sunmakta; uygulamalı açıdan ise kentsel yürünebilirlik planlamasında iklimsel dirençliliğin dikkate alınmasının gerekliliğini kanıtlamaktadır. Önerilen model, iklim hassasiyeti yüksek kentsel alanlarda sürdürülebilir ve adil gelişim için taşınabilir bir karar destek çerçevesi sunmaktadır.

Kaynakça

  • Abastante, F., Gaballo, M., & La Riccia, L. (2019). Investigate walkability: An assessment model to support urban development processes. In A. Bisello, D. Vettorato, H. Haarstad, & J. Borsboom-van Beurden (Eds.), Smart and sustainable planning for cities and regions (pp. 183–197). Springer.
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  • Janmontree, J., Shinde, A., Zadek, H., & Trojahn, S. (2025). A strategic hydrogen supplier assessment using a hybrid MCDA framework with a game theory-driven criteria analysis. Energies, 18(13), Article 3508. https://doi.org/10.3390/en18133508
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  • Kajosaari, A., Hasanzadeh, K., & Kyttä, M. (2019). Residential dissonance and walking for transport. Journal of Transport Geography, 74, 134–144. https://doi.org/10.1016/j.jtrangeo.2018.11.012
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  • Khan, H. R., Ahmed, M. A., & Dutta, M. (2025). A methodological framework for prioritizing and enhancing built environment attributes affecting pedestrian walkability in Indian markets. Journal of Urban Planning and Development, 151(4), Article 5541. https://doi.org/10.1061/jupddm.upeng-5541
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  • Peng, J., & Zhang, J. (2022). Urban flooding risk assessment based on GIS-game theory combination weight: A case study of Zhengzhou City. International Journal of Disaster Risk Reduction, 77, Article 103080. https://doi.org/10.1016/j.ijdrr.2022.103080
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  • Rojas, D., & Loubier, J. C. (2017). Analytical hierarchy process coupled with GIS for land management purposes: A decision-making application [Congress presentation]. The 22nd International Congress on Modelling and Simulation (MODSIM2017), Tasmania, Australia.
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  • Venerandi, A., Mellen, H., Romice, O., & Porta, S. (2024). Walkability indices: The state of the art and future directions: A systematic review. Sustainability, 16(16), Article 6730. https://doi.org/10.3390/su16166730
  • Wan, X., Yang, M., Zhong, Z., Zhou, X., & Wang, X. (2025). Application of a forward design-based multi-attribute decision-making method in quality assessment in pharmaceutical tablet manufacturing. European Journal of Operational Research, 217, Article 107392. https://doi.org/10.1016/j.ejps.2025.107392
  • Wu, H.-W., Li, E., Sun, Y., & Dong, B. (2021). Research on the operation safety evaluation of urban rail stations based on the improved TOPSIS method and entropy weight method. Journal of Rail Transport Planning & Management, 20, Article 100262. https://doi.org/10.1016/j.jrtpm.2021.100262
  • Yang, M., Ye, P., & He, J. (2025). Green and blue infrastructure for urban cooling: Multi-scale mechanisms, spatial optimization, and methodological integration. Sustainable Cities and Society, Article 106501. https://doi.org/10.1016/j.scs.2025.106501
  • Yılmaz, M., & Alemdar, K. D. (2025). Mapping and assessment of flood risk based on vulnerability and hazard factors in urban areas through the integration of multi-criteria techniques and GIS: A case study in Yakutiye, Erzurum, Türkiye. Environmental Earth Sciences, 84(15), Article 435. https://doi.org/10.1007/s12665-025-12393-z
  • Zhao, L. Q., Dragićević, S., Balram, S., & Perez, L. (2025). Assessing the number of criteria in GIS-based multicriteria evaluation: A machine learning approach. Geographical Analysis, 57(3), 489–506. https://doi.org/10.1111/gean.70004
  • Zhu, Z., Cao, Z., He, Y., Guo, H., & Yu, J. (2025). Evaluation of pedestrian networks in urban rail transit station catchment areas using entropy weight method and TOPSIS models: Empirical evidence from China. Transportation Research Record, 2679(7), 317-337. https://doi.org/10.1177/03611981251327203
Toplam 87 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Coğrafi Bilgi Sistemleri ve Mekansal Veri Modelleme
Bölüm Araştırma Makalesi
Yazarlar

Murat Başeğmez 0000-0002-7704-9510

Gönderilme Tarihi 3 Ekim 2025
Kabul Tarihi 6 Mart 2026
Yayımlanma Tarihi 26 Mart 2026
DOI https://doi.org/10.48123/rsgis.1796370
IZ https://izlik.org/JA25YL65UX
Yayımlandığı Sayı Yıl 2026 Cilt: 7 Sayı: 1

Kaynak Göster

APA Başeğmez, M. (2026). İklimsel Koşulların Yürünebilirlik Üzerindeki Mekânsal Etkilerinin Çok Kriterli Karar Verme Yöntemleri ve Oyun Teorisi ile Değerlendirilmesi: İzmir Konak İlçesi Örneği. Türk Uzaktan Algılama ve CBS Dergisi, 7(1), 166-194. https://doi.org/10.48123/rsgis.1796370

Creative Commons License
Turkish Journal of Remote Sensing and GIS (Türk Uzaktan Algılama ve CBS Dergisi), Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License ile lisanlanmıştır.