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Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China
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| Zeitschriftentitel: | Sustainability |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | Sustainability, 11, 2019, 13, S. 3683 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
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| Schlagwörter: |
| author_facet |
Xu, Xiaodong Yin, Chenhuan Wang, Wei Xu, Ning Hong, Tianzhen Li, Qi Xu, Xiaodong Yin, Chenhuan Wang, Wei Xu, Ning Hong, Tianzhen Li, Qi |
|---|---|
| author |
Xu, Xiaodong Yin, Chenhuan Wang, Wei Xu, Ning Hong, Tianzhen Li, Qi |
| spellingShingle |
Xu, Xiaodong Yin, Chenhuan Wang, Wei Xu, Ning Hong, Tianzhen Li, Qi Sustainability Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development |
| author_sort |
xu, xiaodong |
| spelling |
Xu, Xiaodong Yin, Chenhuan Wang, Wei Xu, Ning Hong, Tianzhen Li, Qi 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development http://dx.doi.org/10.3390/su11133683 <jats:p>In areas with a dry and hot climate, factors such as strong solar radiation, high temperature, low humidity, dazzling light, and dust storms can tremendously reduce people’s thermal comfort. Therefore, researchers are paying more attention to outdoor thermal comfort in urban environments as part of urban design. This study proposed an automatic workflow to optimize urban spatial forms with the aim of improvement of outdoor thermal comfort conditions, characterized by the universal thermal climate index (UTCI). A city with a dry and hot climate—Kashgar, China—is further selected as an actual case study of an urban block and Rhino & Grasshopper is the platform used to conduct simulation and optimization process with the genetic algorithm. Results showed that in summer, the proposed method can reduce the averaged UTCI from 31.17 to 27.43 °C, a decrease of about 3.74 °C, and reduce mean radiation temperature (MRT) from 43.94 to 41.29 °C, a decrease of about 2.65 °C.</jats:p> Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China Sustainability |
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Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_unstemmed |
Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_full |
Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_fullStr |
Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_full_unstemmed |
Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_short |
Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_sort |
revealing urban morphology and outdoor comfort through genetic algorithm-driven urban block design in dry and hot regions of china |
| topic |
Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development |
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http://dx.doi.org/10.3390/su11133683 |
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2019 |
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| description |
<jats:p>In areas with a dry and hot climate, factors such as strong solar radiation, high temperature, low humidity, dazzling light, and dust storms can tremendously reduce people’s thermal comfort. Therefore, researchers are paying more attention to outdoor thermal comfort in urban environments as part of urban design. This study proposed an automatic workflow to optimize urban spatial forms with the aim of improvement of outdoor thermal comfort conditions, characterized by the universal thermal climate index (UTCI). A city with a dry and hot climate—Kashgar, China—is further selected as an actual case study of an urban block and Rhino & Grasshopper is the platform used to conduct simulation and optimization process with the genetic algorithm. Results showed that in summer, the proposed method can reduce the averaged UTCI from 31.17 to 27.43 °C, a decrease of about 3.74 °C, and reduce mean radiation temperature (MRT) from 43.94 to 41.29 °C, a decrease of about 2.65 °C.</jats:p> |
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| author | Xu, Xiaodong, Yin, Chenhuan, Wang, Wei, Xu, Ning, Hong, Tianzhen, Li, Qi |
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| description | <jats:p>In areas with a dry and hot climate, factors such as strong solar radiation, high temperature, low humidity, dazzling light, and dust storms can tremendously reduce people’s thermal comfort. Therefore, researchers are paying more attention to outdoor thermal comfort in urban environments as part of urban design. This study proposed an automatic workflow to optimize urban spatial forms with the aim of improvement of outdoor thermal comfort conditions, characterized by the universal thermal climate index (UTCI). A city with a dry and hot climate—Kashgar, China—is further selected as an actual case study of an urban block and Rhino & Grasshopper is the platform used to conduct simulation and optimization process with the genetic algorithm. Results showed that in summer, the proposed method can reduce the averaged UTCI from 31.17 to 27.43 °C, a decrease of about 3.74 °C, and reduce mean radiation temperature (MRT) from 43.94 to 41.29 °C, a decrease of about 2.65 °C.</jats:p> |
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| spelling | Xu, Xiaodong Yin, Chenhuan Wang, Wei Xu, Ning Hong, Tianzhen Li, Qi 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development http://dx.doi.org/10.3390/su11133683 <jats:p>In areas with a dry and hot climate, factors such as strong solar radiation, high temperature, low humidity, dazzling light, and dust storms can tremendously reduce people’s thermal comfort. Therefore, researchers are paying more attention to outdoor thermal comfort in urban environments as part of urban design. This study proposed an automatic workflow to optimize urban spatial forms with the aim of improvement of outdoor thermal comfort conditions, characterized by the universal thermal climate index (UTCI). A city with a dry and hot climate—Kashgar, China—is further selected as an actual case study of an urban block and Rhino & Grasshopper is the platform used to conduct simulation and optimization process with the genetic algorithm. Results showed that in summer, the proposed method can reduce the averaged UTCI from 31.17 to 27.43 °C, a decrease of about 3.74 °C, and reduce mean radiation temperature (MRT) from 43.94 to 41.29 °C, a decrease of about 2.65 °C.</jats:p> Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China Sustainability |
| spellingShingle | Xu, Xiaodong, Yin, Chenhuan, Wang, Wei, Xu, Ning, Hong, Tianzhen, Li, Qi, Sustainability, Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China, Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development |
| title | Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_full | Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_fullStr | Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_full_unstemmed | Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_short | Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| title_sort | revealing urban morphology and outdoor comfort through genetic algorithm-driven urban block design in dry and hot regions of china |
| title_unstemmed | Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China |
| topic | Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development |
| url | http://dx.doi.org/10.3390/su11133683 |