This year, I was able to explore the ways in which computation can push the boundaries and solve problems that present themselves on a global scale, such as the housing and climate crises, which are intrinsically linked within the context of urban development, this thesis project was done as part of a group of four members – Bella Kimathi, Bethany Stewart, Ladi Shobowale, and myself.

Our thesis focuses on the homelessness that results from the housing crisis, as well as the potential dangers that the housing and climate crises pose to low-income people. It focuses on these issues and develops a viable solution utilising the “A2ZCEG Model”, a design and planning computational support tool that has been developed by our group in which allows a thorough exploration and evaluation of the performance of generative urban development

The project provides a computational and architectural answer for individuals who use the tool by establishing and providing sustainability and performance indicators. It uses profiles based on targeted users to calculate and design the best possible solution for the development and its users using carbon emission and energy calculators, accessibility scores generated by journey simulation, and parametric building design in the generation of the optimal outcome, as it fulfils its purpose as an urban planning and design support tool. Thus, allowing us to develop the best zero-carbon urban design with the most optimal performance. This project we believe is a project that has a lot of potential and can always be improved and made more comprehensive and effective – hoping that one day it can be utilised for the betterment of society and cities.