Regional Urbanism: A Ruleset for Agent Based Evolution
Jason Heinrich, University of British Columbia, Vancouver, Canada
Holistic Bottom-Up Densification of Suburbia
Cities have been governed by common sets of urban rules (e.g. setbacks, density, height, land use) that represent a lowest common denominator for planners to implement urban forms. These rules are often clumsy substitutes in pursuit of utopian ambitions of healthy communities and their application is defined centrally with absolutes due to precedent. The development of new computational tools and research into healthy, sustainable cities can enable new metrics and new frameworks.
Question: What are holistic metrics that should govern urban planning, and how can they be applied in a bottom-up framework for local decision-making?
Proposal: The previous proof-of-concept design suggested that introducing new urban rules such as protecting natural capital and limiting heat exhaust can yield localized solutions to improving our cities. The simulation of possible results used a form of the Augustijn-Beckers settlement algorithm adapted for Vancouver owners and development patterns. First I shall expand and test a holistic set of rules (that include environment, economic, cultural, political, and social implications). Secondly, I shall improve the simulation of a multi-agent simulation for bottom-up decisions by testing a diverse set of agent behavior. Machine learning (e.g. neural networks) will be used to study and simplify the high order complexity of a multi-agent. It will be used to run multiple rule simulation and strategically iterate between diverse behaviors and rules. Thirdly, resulting trends from the simulation (e.g. growing energy sharing infrastructure, incremental development, ecological refuges) will be designed to provide proof-of- concept speculative visualizations for a sustainable neighborhood.