Abstract
This study aims to explore data-driven design methods that leverage data, algorithms, and AI, etc.
The physical environment and social constraints that make up the
city today (in the fields of politics, economy, society, environment,
etc.) are affecting all industries, including architecture. These
factors act as an unthinkable series of external conditions separate
from architecture and greatly influence the determination of the
condition of a city and a building. Examples include the high-rise urban
environment, population density and expensive land prices in Seoul, which
created a landscape of high-rise apartment complexes, and the creation
of a large residential cluster around the Dutch and Belgian border and
the Hong Kong border.
The FAR game described the floor area ratio, a concept
underlying building codes today, as a "constraint that triggers
creativity," comparing it to games. The numerous constraints that make
up a city serve as the main factor in determining design in
architecture, and unlike medieval architecture, which was dominated by
architectural style, contemporary architecture creates unique characteristics of a city
(or a country) as its own distinctiveness is emphasized. This
difference has become a landscape with a city-specific identity under
the name of the regionality, highlighting the importance of external
conditions in contemporary architecture. In this context, external
conditions act as objective data in architecture making it the
starting point for architectural design to determine the design. These
collected data are expressed as a physical form of architecture and create a cityscape, which is named the landscape created
by the data, the "datascape."