The Role of Artificial Intelligence (AI) and Geographic Information Systems (GIS) in Urban Regeneration Decision-Making: The ۱۵ Municipal Districts of Isfahan

Urban regeneration is an essential mechanism to revitalize aging urban fabrics and optimize spatial equity within modern cities. Isfahan, as a historical metropolis with diverse socioeconomic contexts across its ۱۵ municipal districts, represents a unique case for studying AI- and GIS-integrated decision-making frameworks. This review synthesizes recent advancements in artificial intelligence, geographic information systems, and multidisciplinary planning models that support evidence-based urban regeneration. The integration of advanced computational tools allows municipal authorities to move beyond descriptive spatial analysis toward predictive and prescriptive planning, ensuring that regeneration investments address nuanced spatial disparities across the metropolitan area, from the dense historical core to the rapidly expanding peripheries.

کلیدواژه ها:

Artificial Intelligence ، Geographic Information Systems ، Urban Regeneration ، Isfahan