| id |
caadria2015_168 |
| authors |
Tong, Ziyu |
| year |
2015 |
| title |
A Genetic Algorithm Approach to Optimizing the Distribution of Buildings in Urban Green Space |
| doi |
https://doi.org/10.52842/conf.caadria.2015.147
|
| source |
Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2015) / Daegu 20-22 May 2015, pp. 147-156 |
| summary |
Certain buildings are required in urban green space according to the Chinese regulations, and their area depends on the type and area of the green space. The scale of the single building or the disperse extent of the building group dramatically influences the local ecological environment and landscape. However, it is lack of effective methods to evaluate the distribution of buildings, and it is hard to plan and manage the buildings in the green space. According to the description of distribution features of geographic objects in geostatistics, this study presents the Index of Distribution (IOD) to describe the distribution pattern of buildings in the green space. Yuhuatai Park and Qingliangshan Park of Nanjing are chosen as cases to verify the effectiveness of IOD. Based on the genetic algorithm, the paper also presents a generating model, which can generate the plan of the buildings corresponding with the specific IOD. The model is effective to respond with the flexibility of location of the building. The results of the model can be used as the valuable reference to the planning of buildings in the green space. |
| keywords |
Genetic algorithm; index of distribution; green space. |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,403,738 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:58 |
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