Redevelopment Intelligence System

Challenge

Identifying underutilized land early — before it becomes obvious to the market — requires tracking subtle signals across thousands of parcels over multiple years. Traditional approaches rely on windshield surveys or reactive analysis after redevelopment announcements.

Solution

Built a quantitative intelligence system grounded in the Strong Towns framework: cities remain financially resilient when land intensifies gradually. The system tracks improvement-to-land value ratios (ILR) across entire counties to detect rising redevelopment pressure.

• Multi-year tax record analysis tracking land value vs. improvement value trends for every parcel
• Spatial pattern detection identifying clusters where land value is rising faster than structure utility
• PostGIS-powered geographic analysis with tract-level aggregation and visualization
• Repeatable, city-agnostic analytical engine designed to scale beyond initial Dallas County implementation

Impact

• Shifted redevelopment analysis from reactive to proactive with early detection of underutilized parcels
• Spatial clustering reveals neighborhood-level patterns invisible in parcel-by-parcel analysis
• Quantitative framework replaces subjective “highest and best use” assessments with measurable ILR trends
• System designed for replication across any county with public tax records and GIS data