Does Green Space Really Matter for Residents' Obesity? A New Perspective From Baidu Street View

被引:44
作者
Xiao, Yang [1 ]
Zhang, Yuhang [1 ]
Sun, Yangyang [2 ]
Tao, Peihong [1 ]
Kuang, Xiaoming [1 ]
机构
[1] Tongji Univ, Coll Architecture & Urban Planning, Shanghai, Peoples R China
[2] Shanghai Tongji Urban Planning & Design Inst, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
green space; eye-level; street view image; BMI; Shanghai; BODY-MASS INDEX; BUILT ENVIRONMENT; PHYSICAL-ACTIVITY; PARK ACCESS; URBAN GREENERY; SOCIAL EQUITY; ASSOCIATIONS; HEALTH; OVERWEIGHT; SHANGHAI;
D O I
10.3389/fpubh.2020.00332
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Despite a growing literature on the topic, the association between neighborhood greenness and body weight is inconsistent. The objective of this research is to examine the association between neighborhood greenness and residents' obesity levels in a high population density area. We accounted for three greenness features: green access, green exposure, and view-based green index. We used the novel technique of deep convolutional neural network architecture to extract eye-level information from Baidu Street View images to capture the urban vertical greenness level. The research involved a survey with 9,524 respondents from 40 communities in Shanghai. Generally, we found all aspects of horizontal greenery, vertical greenery, and proximity of green levels to be impactful on body weight; however, only the view-based green index consistently had an adverse effect on weight and obesity.
引用
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页数:12
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