| id |
caadria2020_115 |
| authors |
Zhong, Jia Ding, Chao, Sara, Ming Chun and Tsou, Jin Yeu |
| year |
2020 |
| title |
Establishing a Prediction Model for Better Decision Making Regarding Urban Green Planning in a High-density Urban Context |
| doi |
https://doi.org/10.52842/conf.caadria.2020.1.517
|
| source |
D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 517-526 |
| summary |
This paper presents a prototype of a prediction model. The model helps to improve decision making regarding urban green patch planning. This process is achieved by the model predicting the response of thermal comfort conditions in an urban green patch to different planning decisions. This process is demonstrated via an investigation of variations in urban density. The model features a surface temperature mapping approach, which assigns surface temperature data acquired through field-measurement to solid surfaces in CFD simulations based on the shading state. Besides, trees are simulated in a systematic way, and the model combines CFD simulations with PET values, the processes of which are also demonstrated in this paper. |
| keywords |
Urban Green Planning; Decision Making; Thermal Comfort; CFD |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (6,570,432 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:57 |
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