| id |
caadria2019_422 |
| authors |
Wang, Xiao, Tang, Peng and Shi, Xing |
| year |
2019 |
| title |
Analysis and Conservation Methods of Traditional Architecture and Settlement Based on Knowledge Discovery and Digital Generation - A Case Study of Gunanjie Street in China |
| source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 757-766 |
| doi |
https://doi.org/10.52842/conf.caadria.2019.1.757
|
| summary |
In the conservation plan of traditional architecture and settlement, the mismatch between design and construction is an inevitable problem. The mismatch commonly shows as the variations in the cognition of the traditionality of architecture feature. In most cases, the evaluation of historical feature is made based on designers' subjective perception, experience, and understanding of the traditional style. Also, without an appropriate guide and unified control, it could make the conservation plan less efficient in practice. Therefore, a quantitative method for conservation plan is needed, which is expected to be effective especially for massive non-key but traditional ordinary buildings. In this study on Gunanjie Street, in Yixing, China, a new method of feature analysis and generative design was developed to regenerate the district. The proposed method first adapted new data acquisition and processing techniques to gather information and build the database. Cognition investigation and morphology analysis were then implemented to quantify and evaluate the features of historical characteristics, as well as the knowledge discovery tools, were further used to abstract the rules of the traditional facade. With these phases, the proposed method was able to generate the referable design schemes quantitatively and establish generally accepted conservation plans and guidelines. |
| keywords |
Traditional architecture and settlement; historical feature; Knowledge Discovery; digital generation; conservation |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (24,226,676 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:58 |
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