A review of urban physical environment sensing using street view imagery in public health studies

被引:198
作者
Kang, Yuhao [1 ,2 ]
Zhang, Fan [2 ,3 ]
Gao, Song [3 ]
Lin, Hui [4 ]
Liu, Yu [3 ]
机构
[1] Univ Wisconsin, Dept Geog, GeoDS Lab, Madison, WI 53706 USA
[2] MIT, Senseable City Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
[4] Jiangxi Normal Univ, Key Lab Poyang Lake Ecol Environm & Resource Dev, Nanchang, Jiangxi, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Street view imagery; urban environment; public health; BUILT ENVIRONMENT; MENTAL-HEALTH; NEIGHBORHOOD SAFETY; FACIAL EXPRESSIONS; VISUAL ENCLOSURE; VIRTUAL AUDIT; WALKING; GREEN; LANDSCAPE; EXPOSURE;
D O I
10.1080/19475683.2020.1791954
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Urban physical environments are the physical settings and built environments in neighbourhoods and cities which provide places for human activities. Evidence suggests that there are substantial associations between urban physical environments and various health outcomes, e.g. people's physical activities might be influenced by surrounding physical environments, thereby affecting their health behaviours; more exposure to urban physical environments may benefit human mental health. Street view imagery enables us to capture the landscape at eye-level, making it a promising data source for observing and analysing the realistic dynamics of urban physical environments. Compared with traditional in-person assessments and field observations, street view imagery-based data collection is relatively time-effective and cost-effective. Researchers from epidemiology, psychology, and geography have used street view imagery to quantify the built environment and understand its impacts on public health. To summarize current research trends, this paper systematically reviews the use of street view images for sensing urban environments in public health studies. Specifically, we describe the characteristics of street view imagery and review the methodology for image processing and semantic understanding. We then summarize the challenges that remain for quantifying urban environments in terms of data and methodology. Several future research directions that would benefit public health research and practices are recommended in urban environment research.
引用
收藏
页码:261 / 275
页数:15
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