Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2017.06.018 |
Urban morphology detection and computation for urban climate research | |
Xu, Yong1; Ren, Chao1,2,3; Ma, Peifeng4; Ho, Justin3; Wang, Weiwen2; Lau, Kevin Ka-Lun1,3,5; Lin, Hui4; Ng, Edward1,2,3 | |
2017-11-01 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING
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ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2017 |
卷号 | 167 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Urban morphology information is an important indicator in urban planning, information management, and urban climatic applications. However, the problem of urban morphological data harmonization, quality, and availability are well-known, especially in developing countries. In this study, a novel satellite-based approach was proposed to extract 3D urban morphology information, and then retrieve and validate typical urban morphological parameters for urban climatic applications. Some most widely used urban morphological parameters building coverage ratio (BCR), building height (BH), building volume density (BVD), frontal area index (FM), sky view factor (SVF), and roughness length (RL)-were calculated and validated. Experiments conducted throughout the entire urban environment of Kowloon Peninsula, the most complex and high-density urban area in Hong Kong, demonstrated that all of the retrieved parameters had a high prediction accuracy, compared with the actual data at spatial resolutions of hundreds of meters. In particular, the prediction accuracy of BCR, BH, BVD, and RL was 70-80% while the accuracy of SVF and FAI was 80-90%. This set of urban morphological data is employed to generate a Hong Kong Urban Climatic Map. As an extension of the World Urban Database and Access Portal Tools (WUDAPT) method to provide 2D urban form data for cities worldwide, this newly developed method can quickly and efficiently produce highly accurate 3D urban morphology data for cities where actual urban morphology data are not accessible. This study also expands spatial understanding of urban climatic conditions in a fast and efficient way, enabling urban climatic application in urban planning for sustainable urban living. |
英文关键词 | Urban morphological parameters High-density cities Urban planning WUDAPT Urban climatic map |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000412959400020 |
WOS关键词 | BUILDING HEIGHT EXTRACTION ; MEAN RADIANT TEMPERATURE ; VIEW FACTOR-ANALYSIS ; HIGH-DENSITY CITIES ; HEAT-ISLAND ; WIND ENVIRONMENT ; HONG-KONG ; AREAS ; URBANIZATION ; VENTILATION |
WOS类目 | Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies |
WOS研究方向 | Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/25403 |
专题 | 资源环境科学 |
作者单位 | 1.Chinese Univ Hong Kong, Inst Future Cities, Shatin, Hong Kong, Peoples R China; 2.Chinese Univ Hong Kong, Sch Architecture, Shatin, Hong Kong, Peoples R China; 3.Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Shatin, Hong Kong, Peoples R China; 4.Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China; 5.Chinese Univ Hong Kong, Jockey Club Inst Ageing, Shatin, Hong Kong, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Yong,Ren, Chao,Ma, Peifeng,et al. Urban morphology detection and computation for urban climate research[J]. LANDSCAPE AND URBAN PLANNING,2017,167. |
APA | Xu, Yong.,Ren, Chao.,Ma, Peifeng.,Ho, Justin.,Wang, Weiwen.,...&Ng, Edward.(2017).Urban morphology detection and computation for urban climate research.LANDSCAPE AND URBAN PLANNING,167. |
MLA | Xu, Yong,et al."Urban morphology detection and computation for urban climate research".LANDSCAPE AND URBAN PLANNING 167(2017). |
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