Wang Changren
Weaving the Complex

Thesis Supervisor: Dr. Rudi Stuoffs

BaishiZhou, the largest existing urban village in China, is now facing the fate  of  demolishing. The village who has witnessed the large urbanization drive in China has been served as a low-rent housing encalve for migrant workers ever since ShenZhen was built. The design aims to find an alternative for the  tabula-rasa planning mode whilst activate its commercial potential.

The design could be summarized to two stages. In sem1, we tried to work out an evolutionary algorithm to establish iterative simulation driven methodologies for generating bottom-up urban regeneration strategies. A Palimpsest was cleared out for futher design. In sem2, a piece of urban fabric was selected as a testbed for the further detailed design, which could eventually be implemented to the whole urban village.


The design's target is long-term change in disadvantage communities via partial demolition and then pencil towers as an acupunctural therapy to counter the community's lack of focusing nodes in a repetitive urban fabric.

The design excavates the sites potential to grow vertically with a three dimensional circulation network. Meantime reconceptulize remnants of demolished structures to maintain a multifarious urban experience.


With in the tower will be an enclave for people escaping from the society's inherent economic pressure. We would very much like to see copious events happen inside, so rather than limiting the tower's udnerlying spatial ingenuity ,with fixed walls, the tower is structurally divided into two parts, a concret container. and various steel-timber units. Programmes and spatial layout will change over time.

The urban village's self-goverance provides intriguing supports for the design. A committee is already established by the landowners to coordinate with their tenants and the government. This would be a perfect machine that can involve the tenants into community issues and decide what programmes they might or might not need in a certain time period.