GSTDTAP  > 资源环境科学
DOI10.1016/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
ISSN0169-2046
EISSN1872-6062
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
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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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