Analysis of urban ventilation potential using rule-based modeling
Publication type: Journal Article
Publication date: 2017-11-01
scimago Q1
wos Q1
SJR: 2.523
CiteScore: 16.6
Impact factor: 8.3
ISSN: 01989715, 18737587
General Environmental Science
Geography, Planning and Development
Urban Studies
Ecological Modeling
Abstract
Successful and efficient urban planning requires direct, rapid evaluations of the urban ventilation potential. An urban ventilation environment can be analyzed and evaluated using numerical simulations; however, such simulations require considerable time and effort, especially at the start of planning or when the area is vast. This study presents a method that can rapidly analyze urban ventilation potential of the whole city and each district by combining the rule-based modeling method with urban enclosure index. The first step of the proposed method is to rapidly generate building models using rule-based modeling, and the buildings in different districts are color coded by their use. Then, several vertical sections of the whole city and each district are cut, and the sectional data is extracted for plotting the enclosure charts. Finally, the enclosure index charts are superimposed on the urban wind rose diagram to analyze the ventilation potential of the whole city and each district, and optimization suggestions are proposed based on the analysis results. A case study was then performed on Lipu County, Guangxi, China and the optimization suggestions were proposed from the aspects of road orientations, building layout and the arrangement of greenbelts and open recreational space.
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29
Total citations:
29
Citations from 2024:
8
(27.58%)
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GOST
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Luo Y., Jiang H., Ni Y. Analysis of urban ventilation potential using rule-based modeling // Computers, Environment and Urban Systems. 2017. Vol. 66. pp. 13-22.
GOST all authors (up to 50)
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Luo Y., Jiang H., Ni Y. Analysis of urban ventilation potential using rule-based modeling // Computers, Environment and Urban Systems. 2017. Vol. 66. pp. 13-22.
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RIS
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TY - JOUR
DO - 10.1016/j.compenvurbsys.2017.07.005
UR - https://doi.org/10.1016/j.compenvurbsys.2017.07.005
TI - Analysis of urban ventilation potential using rule-based modeling
T2 - Computers, Environment and Urban Systems
AU - Luo, Yanwen
AU - Jiang, He
AU - Ni, Yilan
PY - 2017
DA - 2017/11/01
PB - Elsevier
SP - 13-22
VL - 66
SN - 0198-9715
SN - 1873-7587
ER -
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BibTex (up to 50 authors)
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@article{2017_Luo,
author = {Yanwen Luo and He Jiang and Yilan Ni},
title = {Analysis of urban ventilation potential using rule-based modeling},
journal = {Computers, Environment and Urban Systems},
year = {2017},
volume = {66},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016/j.compenvurbsys.2017.07.005},
pages = {13--22},
doi = {10.1016/j.compenvurbsys.2017.07.005}
}