Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2017.08.011 |
Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View | |
Li, Xiaojiang; Ratti, Carlo; Seiferling, Ian | |
2018 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING
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ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2018 |
卷号 | 169页码:81-91 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Shade provision by street trees during the hot summer months is a primary factor for the thermal comfort of people in urban areas. In this study we present a novel method to estimate the shade provision of street trees in the downtown area of Boston, Massachusetts using a quantification of the sky view factor (SVF) from street-level imagery. The SVF is an indicator to quantify the level of enclosure of street canyons. It has been widely applied and has become a standard metric employed by urban designers because it relates to the amount of direct solar radiation reaching the ground and, thus, holds direct implications on the thermal comfort of citizens. In a novel methodology, Google Street View panoramas were used to represent the street canyon unit and to compute the SVF. Street-level imagery allowed us to consider obstructions along street canyons without relying on simplifications or simulations of the environment. In turn, a building height model was used to calculate the SVF, considering only the obstruction of solar radiation by building blocks. Thus with these two quantifications of the SVF, the difference between the two SVF estimations were treated as an estimate of the shading effect of street trees. In the case of Boston, the results showed that the street trees decrease the SVF by 18.52% in the downtown areas. This study can provide an important reference for future urban greening projects for urban climate moderation. |
英文关键词 | Google Street View (GSV) Sky View Factor (SVF) Shade provision Street trees |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000414882300008 |
WOS关键词 | THERMAL COMFORT ; HEAT-ISLAND ; GREENERY ; CLIMATE ; RASTER |
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/25424 |
专题 | 资源环境科学 |
作者单位 | MIT, Dept Urban Studies & Planning, Senseable City Lab, Room 9-250,77 Massachusetts Ave, Cambridge, MA 02139 USA |
推荐引用方式 GB/T 7714 | Li, Xiaojiang,Ratti, Carlo,Seiferling, Ian. Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View[J]. LANDSCAPE AND URBAN PLANNING,2018,169:81-91. |
APA | Li, Xiaojiang,Ratti, Carlo,&Seiferling, Ian.(2018).Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View.LANDSCAPE AND URBAN PLANNING,169,81-91. |
MLA | Li, Xiaojiang,et al."Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View".LANDSCAPE AND URBAN PLANNING 169(2018):81-91. |
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