362: Parametric Evaluation of Walkability and Innovation Potential In Knowledge Districts: The Case of International Knoop Xl

This study investigates how parametric urban analysis and generative optimization can enhance walkability in innovation districts, using International Knoop XL redevelopment in Eindhoven as case study. Positioned to become a third-generation knowledge district—dense, walkable, and amenity-rich—Knoop XL integrates residential functions with anchor institutions and innovation-related infrastructure. The methodology combines QGIS, Grasshopper, and Octopus to model pedestrian network accessibility, assess service gaps, and optimize amenity placement based on population thresholds and spatial logic. The model evaluates two spatial layers: daily-use amenities within a 15-minute walk and higher-order innovation infrastructure within 30 minutes. Results demonstrate that strategic amenity additions can increase walkability scores to over 98% across all categories. Regional indicators from the Brainport ecosystem further position Knoop XL as a key talent hub. The research concludes with recommendations for integrating zoning data, optimizing green space, and scaling the tool for broader application, supporting sustainable urban transformation through data-driven design.