| id |
caadria2016_095 |
| authors |
Gu, Ning; Rongrong Yu and Michael Ostwald |
| year |
2016 |
| title |
Computational Analysis and Generation of Traditional Chinese Private Gardens through Space Syntax and Parametric Design |
| doi |
https://doi.org/10.52842/conf.caadria.2016.095
|
| source |
Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 95-104 |
| summary |
This research develops a methodological framework for computational analysis and generation of traditional Chinese private gardens, powered by two well-known algorithms in the field, with Space Syntax for analysis and parametric design for generation. Ap- plying this framework, the paper commences with an analysis of two different categories of Chinese private gardens using selected Space Syntax techniques. Next, mathematical measurements derived from the analysis are used as the basis to capture essential spatial patterns in these two garden types. These quantitative results are then used to di- rect the development of a parametric design system to generate new design instances that share the same spatial patterns of the original traditional Chinese private gardens. The effectiveness of this computa- tional approach is demonstrated through two case studies, Yuyuan Garden and Wangshiyuan Garden, both located in Southeast China and each representing a different category of traditional Chinese pri- vate gardens with a typical planning structure. The outcomes of the paper contribute to potential new insights about these important herit- age sites, and demonstrate a formal approach to their computational analysis and generation. |
| keywords |
Computational design analysis; generative design; Space Syntax; parametric design; traditional Chinese private gardens |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (534,682 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:51 |
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