Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors

doi:10.3390/su12062252

	Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors
	Wang, Haoying 1,2; Hu, Yunfeng 1,3; Tang, Li 1,2; Zhuo, Qi 2
刊名	SUSTAINABILITY
	2020-03-02
卷号	12 期号:6 页码:20
关键词	urban ecology blue sky green vegetation street view photo neural network scale effect
DOI	10.3390/su12062252
通讯作者	Hu, Yunfeng(huyf@lreis.ac.cn)
英文摘要	Urban blue and green space is a key element supporting the normal operation of urban landscape ecosystems and guaranteeing and improving people's lives. In this paper, 97.1k photos of Beijing were captured by using web crawler technology, and the blue sky and green vegetation objects in the photos were extracted by using the Image Cascade Network (ICNet) neural network model. We analyzed the distribution characteristics of the blue-green space area proportion index and its relationships with the background economic and social factors. The results showed the following. (1) The spatial distribution of Beijing's blue-green space area proportion index showed a pattern of being higher in the west and lower in the middle and east. (2) There was a positive correlation between the satellite remote sensing normalized difference vegetation index (NDVI) and the proportion index of green space area, but the fitting degree of geospatial weighted regression decreased with an increasing analysis scale. (3) There were differences in the relationship between the housing prices in different regions and the proportion index of blue-green space, but the spatial fitting degree of the two increased with the increase of study scale. (4) There was a negative correlation between the proportion index of blue-green space and population density, and the low-population areas per unit blue-green space were mainly distributed in the south of the city and the urban fringe areas beyond the Third Ring Road. The urban blue-green space analysis that was constructed by this study provides new aspect for urban landscape ecology study, and the results proposed here also provide support for government decision-makers to optimize urban ecological layouts.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences[XDA23100200] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010202] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA19040301] ; National Key Research and Development Plan Program in China[2016YFB0501502] ; National Key Research and Development Plan Program in China[2016YFC0503701]
WOS关键词	ASSOCIATIONS ; VISIBILITY ; FORESTS
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:000523751400099
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Plan Program in China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/133841]
专题	中国科学院地理科学与资源研究所
通讯作者	Hu, Yunfeng
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Jishou Univ, Sch Civil Engn & Architecture, Zhangjiajie 427000, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Haoying,Hu, Yunfeng,Tang, Li,et al. Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors[J]. SUSTAINABILITY,2020,12(6):20.
APA	Wang, Haoying,Hu, Yunfeng,Tang, Li,&Zhuo, Qi.(2020).Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors.SUSTAINABILITY,12(6),20.
MLA	Wang, Haoying,et al."Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors".SUSTAINABILITY 12.6(2020):20.