New-Type Intensive Rural Settlements in China Based on the Unified and Self-Construction Mechanisms of Spatial Organization

New-Type Intensive Rural Settlements in China Based on the Unified and Self-Construction Mechanisms of Spatial Organization

Jiang Wang Ji-Long Zhao Tian-Yu Wu Lu-Kun Tang 

Shandong Co-Innovation Center of Green Building, Jinan, China

School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan, China

Yellow River Shandong Survey and Design Research Institute, Jinan, China

1 August 2017
| Citation



The spatially intensive development of rural settlements has become an important power, which is driving the current new-type urbanization in China. However, affected by the lack of guidance and control of space planning and in the space for self-construction, this process has always been facing the risk of being short of spatial characteristics. To solve the conflict between unified-construction and self- construction, this paper studies the method to design the intensive rural settlement (IRS) suitable for China by taking Yuezi Village as an example, and proposes the “main board + plug-ins” construction system (MPCS), with the hope of guiding the transformation from traditional rural settlements (TRS) to IRS. To better study the 4-layer rural spatial structure of house-neighborhood-block-settlement, the spatial-temporal evolution of the MPCS was explored with spatial hetero-organization and self-organization as the theoretical support. 1. Unified-construction unit and self-construction unit are defined to constitute the basic coordinated units of MPCS. 2. The simulation rules were mainly defined, making the model able to guarantee villagers’ basic living needs and further needs. 3. The logic of transforming rural housing’s spatial prototype to an evolutionary model was studied, and computer programming was mainly used to study the control of spatial evolution.


construction system, evolutionary model, generative design, intensive rural settlement, simulation rules, unified and self-mechanisms


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