GIS-Based Innovation for Estimating Real Estate Market Location Performance

Understanding real estate location performance is crucial for effective urban decision-making. This study develops an innovative GIS-based approach to measure and visualise market dynamics at the intra-city level by analysing locational changes in the demand and supply of real estate over a decade, mapping performance and resilience before and after the COVID-19 shock. The results indicate that the shock did not significantly disrupt market elasticity, and the technique produces 2D and 3D visual outputs that support smart decision-making in investment, development, management, and urban planning. Although the findings may be influenced by the specific real estate type examined, the study calls for broader application across various asset classes and spatial layouts, and highlights opportunities for further development using GeoAI algorithms.