Abstract
The motivation for this research stemmed from the changing role of work and its implication on the built environment. Office buildings occupy some of the most significant locations within cities, yet the occupancy rate of office buildings is extremely low resulting in unjustified environmental footprint and urbanistic inefficiencies such as the creation of inactive districts beyond working hours. This thesis aims to operationalize the public and private space relationship within the office building and identify synergies between work and life that improve the utilization of the built environment and to enhance working and living within the city, activating the city beyond working hours. The approach of the proposal is fundamentally programmatic, it aims to identify potential relationships between public and private functions that are mutually beneficial. Methodologically, computational design techniques including generative design, graph network analysis, metric analysis and evolutionary optimization, will be used together to create a computation system that optimizes a complex network of programs in physical space. The contribution of this work challenges the notion of typology without substituting it with an indiscriminate notion of mixed use, but instead utilizes the proposed computational system to achieve an optimized complex arrangement of programs that promotes the harnessing of synergies between these programs as opposed to them existing as separate entities within a building.