GSTDTAP  > 资源环境科学
DOI10.1016/j.landurbplan.2018.07.011
Mapping the spatio-temporal distribution of solar radiation within street canyons of Boston using Google Street View panoramas and building height model
Li, Xiaojiang; Ratti, Carlo
2019-11-01
发表期刊LANDSCAPE AND URBAN PLANNING
ISSN0169-2046
EISSN1872-6062
出版年2019
卷号191
文章类型Article
语种英语
国家USA
英文摘要

Studying the solar radiation within street canyons would provide an important reference for increasing human thermal comfort and decreasing the potential health issues caused by too much exposure from sunlight. In this study, we used building height model and publicly accessible Google Street View panoramas to map the spatio-temporal distribution of solar radiation within street canyons of Boston, Massachusetts. Hemispherical images generated from Google Street View panoramas and building height model together with sun paths in summer and winter were used to estimate the spatio-temporal distribution of solar radiation within street canyons. Results show that street canyons in the downtown area have shorter sunshine duration and lower solar radiation to the ground compared with other regions of the study area in the whole year. The southwestern part of the study area with the abundance of vegetation canopies has relatively short direct sunshine duration and low solar radiation reaching the ground in summer, and relatively long direct sunshine duration and high solar radiation reaching the ground in winter. This study also shows that it is possible to estimate shading precisely within street canyons for a specific time and date at a specific location. Considering the public accessibility of Google Street View data in cities around the world, this study can be easily deployed in other cities. This study would give a great impetus to all studies relating the solar radiation at street level in future.


英文关键词Google Street View (GSV) Street canyons Solar radiation Sunshine duration
领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000491614300007
WOS关键词IMAGE-BASED ANALYSIS ; URBAN HEAT-ISLAND ; THERMAL COMFORT ; TREES ; CLIMATE ; WORLD ; CITY
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/188160
专题资源环境科学
作者单位MIT, Senseable City Lab, Dept Urban Studies & Planning, Room 9-250,77 Massachusetts Ave, Cambridge, MA 02139 USA
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GB/T 7714
Li, Xiaojiang,Ratti, Carlo. Mapping the spatio-temporal distribution of solar radiation within street canyons of Boston using Google Street View panoramas and building height model[J]. LANDSCAPE AND URBAN PLANNING,2019,191.
APA Li, Xiaojiang,&Ratti, Carlo.(2019).Mapping the spatio-temporal distribution of solar radiation within street canyons of Boston using Google Street View panoramas and building height model.LANDSCAPE AND URBAN PLANNING,191.
MLA Li, Xiaojiang,et al."Mapping the spatio-temporal distribution of solar radiation within street canyons of Boston using Google Street View panoramas and building height model".LANDSCAPE AND URBAN PLANNING 191(2019).
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