Abstract
Forecasting the Trend of Housing Price Changes in Ardabil with a Spatio-Temporal Analysis Approach examines the spatial and temporal dynamics of housing prices in this city. In recent years, housing price fluctuations have become one of the most important economic and social challenges in the city of Ardabil, which necessitates a deeper understanding of its change patterns. This research seeks to answer the question of how different spatial and temporal factors affect housing price trends in different regions of Ardabil. The main objective of this study is to predict future changes in housing prices using modern spatio-temporal analysis methods and identify areas with potential for price growth or decline. The research method is a combination of advanced statistical analysis and Geographic Information System (GIS) with an emphasis on Geo-Temporal Weighted Regression (GTWR) models. The data used include housing price information over a 5-year period and effective environmental, economic, and physical variables. The findings show that housing prices in Ardabil follow a spatio-temporal cluster pattern and the central and northern areas of the city are increasing in price at a faster pace. Key influencing factors include access to service centers, quality of the urban environment, inflation rate, and population growth. The results show that by 1405, neighborhoods adjacent to administrative and commercial centers will face price growth of 25 to 30 percent. This study provides a valuable tool for urban policymakers and housing investors to make more informed decisions in urban planning and investment in the housing sector.