143: Habitalab: A Computational Tool For Spatial Analysis of Liveability Metrics In Urban Planning

This study presents the development and application of HabitaLab, a computational tool designed to assess urban liveability through spatial and socioeconomic indicators. Combining Rhino-Grasshopper modeling and geospatial datasets (e.g., OpenStreetMap, Google Places), the tool supports parametric analysis of land-use diversity (IMUS), spatial syntax (integration and choice), and real-estate values across ten neighborhoods in a mid-sized Brazilian city. The research adopts a mixed-methods approach, integrating systematic literature review and quantitative simulations to explore the relationship between urban form and liveability. Statistical analysis using Spearman’s correlation reveals significant associations between spatial integration and mixed land use, and between urban centrality and property values. Results demonstrate the potential of computational design in supporting equitable urban planning, providing evidence-based strategies for identifying areas of low vitality and promoting functional densification. HabitaLab offers methodological contributions to spatial diagnostics and policy formulation in urban studies.