Masdar Reimagined
Photo credit Emeka Nwosu // Felix Mallinder
Author Emeka Nwosu // Felix Mallinder
This project uses evolutionary multi-objective optimization to generate urban fabrics with improved proximity and walking distances than the current Masdar model.
Beginning with analyzing the outcomes of different urban design configurations from the orthogonal and non-orthogonal grid typologies. We have used specifically designed computational tools to measure the shortest physical distance between locations in Masdar city, also a computational multi-optimization framework has been developed that will enable the generation of optimal urban grid layouts. In our proposal, the definition of a street network has been reimagined using new rule-sets to create an adaptive and inorganic street network that is robust in finding in itself optimal configurations for improved proximity and shorter distance of travel to the required amenities.
