Generative patterns in planned urban spaces: Case of Chandigarh
Generative design and urban metabolism
Generative design bases itself in form generation ‘morphogenesis’ in the process of evolution (Darwin’s Theory). An evolutionary algorithm is a computationally developed script, using data and analysis to generate multiple iterations to optimize design for defined fitness goals. This performative characteristic of generative design enables one to test multiple combinations of volumetric relationships leading to optimization over a time-period.
In city systems the metabolism is externalized in form of collective organization of people, their flows and relative distribution of material surfaces. This includes networks, public spaces or urban green and social infrastructure. Packing of porous surfaces into volumes, with folds and cavities of buildings and spaces gives rise to the urban morphology. The appropriateness of this porous surface to its climate, social logics and environment (performance/fitness criteria) can be mathematically defined (identification of patterns) and analyzed. The design stems from this input-output relationship.
