DEVELOPING A GIS TOOL TO ANALYZE HOUSING PRICE VARIABILITY IN URBAN REGIONS CASE STUDY: ANKARA

Date

2024-11-28

Author

ABU SADAA, DUAA

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Ankara's population has grew by 5.35%, from 5,118,000 in 2020 to 5,397,000 in 2023, expanding the inhabited areas and requiring advanced urban analysis tools. This study introduces a customized Geographic Information System (GIS) application, developed with MapInfo, Visual Studio, and C#, to analyze and visualize housing price distributions through heat maps, Thiessen polygons, and comparison tools that reveal how various factors influence housing prices. The GIS application is a key tool for urban planners, real estate developers, and researchers, offering features like visualizing histograms of variables across price intervals and districts, and options to sort and zoom into specific neighborhoods. These tools enable a detailed exploration of spatial heterogeneity in the housing market, clarifying complex dynamics. It is aimed to present the GIS application's analytical capabilities by integrating advanced spatial analysis methods, including Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR). These models reveal the relationships between housing prices and factors like proximity to transportation, hospitals, universities, shopping malls, banks, schools, and supermarkets. The results, visualized through the application, confirm spatial heterogeneity in housing prices across Ankara, particularly higher prices in the western regions due to key amenities such as proximity to transportation. The application highlights Çankaya’s unique characteristics, requiring separate analysis. As well as, a local analysis of Kızılay and Çayyolu shows that factors like transportation access and proximity to schools drive higher housing prices, especially in Çayyolu. This emphasizes the importance of neighborhood-level investigations to understand the dynamics influencing housing prices in different areas of Ankara.

Subject Keywords

GIS, Spatial Analysis, Housing Prices, Spatial Heterogeneity, Türkiye

URI

https://hdl.handle.net/11511/112658

Collections

Graduate School of Natural and Applied Sciences, Thesis