Together with LINK Architecture we tested a workflow combining a semi-automatic generative urban model with a range of rapid impact assessment models allowing for interactive and data-driven urban design sessions.
The interface guides sequentially through the urban design process, starting with the street network layout and the distribution of built density. In the next steps public amenities (eg. schools and parks) and transit lines can be allocated synchronously, while KPI on accessibility and pedestrian flows are updated in real-time. Moreover, InFraReD’s machine learning accelerated microclimate models, enabled the optimization of wind comfort and shading properties on the pedestrian levels.