Self Organised Urbanism
Year: 2016
Audience: Networks, UTS.
Technique: Swarm/Boyd Algorithm, Python, Processing, Rhino.
Medium: Generative Program, Video, Rendering.
| Produced as a part of the Networks Python introductory elective ran by Matthew Austin of UTS, focusing on swarms, rail, and software agnostic coding. Produced using Processing and Rhino Python.
As a state, the focus of jobs, education and population centre on the original landing ground of Sydney. Through simulation one can test how a system could self organise and ween itself away from a single core. Instead, providing new transportation hubs interspersed those existing, strengthening connections and dispersing population more evening throughout NSW.
At the urban scale decentralization of population and removing the city center was the focus. When moving to the scale of the city we pushed vertically to decentralize the public plane and public space. The ground is often occupied by permanent entities such as traffic flows and private spaces of commerce, living and otherwise. This however does not restrict superposition as the other height planes can be occupied. It is in this pursuit of the higher plane of existence that this project lays and criticizing how and what connections emerge.