Your search

Author or contributor
  • Colloquially, Guangzhou is known as the ‘Factory of China’,and, in many respects, it may be one of the great factories of the world. Located in the Guangdong Province in Southern China, Guangzhou is an exemplar of twenty-first century metropolis. It is home to over 14 million residents and is in a state of extreme growth. Old farmlands encircling the city are incentivised, through government subsidies, to build apartment complexes that can accommodate the rapid growth as the city develops. The city is home to migrant population—from the rural areas of China that is larger than the entire population of Perth. The middle classin Guangzhou is outpacing the growth of middle classes in Australia and the US. Factories, shipping ports, apartment blocks, malls, and urban farms are mixed in a tightly knit tapestry across the city. ‘Guangzhou Places’ is a series of short videos that present viewers with a glimpse of urbanisation that is akin to app development. Guangzhou is a ‘beta city’, an environment

  • This study, focusing on the China's Yao minority community, investigates the feasibility to create a generative computational method to replicate the diversity of the existing Yao traditional wood buildings, addressing the critical issues currently facing computational design methods, in the attempt to adapt genetic-generative algorithms to the study of local ancient architecture. The project develops a computational tool to generate a network of three-dimensional prototypes, or building structures, derived from traditional wood frame village houses. It studies possible housing structures that illustrate some of the key working methods available in digital systems such as ‘generating' and ‘compositing' taking as a starting point computational strategies oriented towards geometry and where a set of local variables play a decisive role: available local technologies, use of raw materials, and the dimensioning of timber components based on data collected from Yao architecture.

Last update from database: 5/4/24, 3:54 PM (UTC)

Explore

Resource type

Publication year