GENERATIVE URBAN MODELING: A DESIGN WORK FLOW FOR WALKABILITY-OPTIMIZED CITIES
Terek Rakha, Christoph Reinhart
This paper presents an urban analysis work flow using a Rhinoceros/Grasshopper massing tool. The tool utilizes terrain elevation models as part of the design process to subdivide sites and generate urban form to be explored parametrically. It can then be linked to various performance assessment methods. As a proof of concept, the study uses a walkability calculator for three urban form alternatives, and applies genetic algorithms to optimize generated designs through allocation of land-use. Results show a great diversity that converges to near optimal solutions. A discussion is drawn about the effort and time spent to model such iterations versus it’s automation using this work flow, and conclusions show the potentials, limitations and directions for future research work.
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