Computational urban analytics framework · UIC
A computational urban analytics framework for determining optimal congestion pricing zone boundaries. Integrates OpenStreetMap road network data, census tract geometries, and origin-destination trip flows. Leverages graph theory (NetworkX), geospatial analysis (GeoPandas, Shapely), and transportation data processing to evaluate candidate boundaries based on trip coverage, monitoring requirements, and spatial efficiency.