气候变化领域集成服务门户(CCPortal): How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing

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DOI	10.1016/j.rse.2020.112014
	How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing
	Zhang X.; Du S.; Du S.; Liu B.
发表日期	2020
ISSN	00344257
卷号	249
英文摘要	Imbalance of residential environments in cities (e.g., slums and wealthy districts) causes serious social inequality, negatively impacting livable city development and attracting worldwide attentions. Previous studies on residential environmental quality (REQ) mainly focused on general evaluations at city level, while ignored the spatial heterogeneity of REQ inside cities and failed to survey REQ at local scales. This study recognizes the heterogeneity of REQ strongly related to land-use patterns, and aims to explore how local land-use patterns influence REQ. Firstly, a multimodal semantic segmentation method is presented to classify land uses by using satellite images, building data and points of interests. Secondly, a feature system is defined to characterize land-use patterns, which can be extracted at multiple scales based on land-use classification results. Thirdly, these features are fitted with REQ survey data by random forest regressions, which can predict REQ scores across Beijing and give deep insights into how land-use patterns influence REQ. Experimental results indicate that 1) REQ of Beijing is strongly heterogeneous, and our method can generate a REQ map revealing REQ's imbalance across the city; 2) land-use patterns within 700 m have significant impacts on the local REQ; 3) spatial allocations of land uses are more important than proportions for influencing REQ; and 4) our method visualizes the rules that land-use patterns influence REQ, thus can assist urban land-use planning to balance and improve REQ. © 2020 Elsevier Inc.
英文关键词	Deep learning; Land use; Multiscale spatial analysis; Residential environment quality; Urban
语种	英语
scopus关键词	Decision trees; Houses; Image segmentation; Semantics; Surveys; Urban growth; Environmental quality; Landuse classifications; Points of interest; Residential environment; Semantic segmentation; Social inequalities; Spatial allocation; Spatial heterogeneity; Land use; environmental quality; heterogeneity; land use; land use planning; satellite imagery; segmentation; survey method; urban area; Beijing [China]; China
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179169
作者单位	Institute of Remote Sensing and GIS, Peking University, 5 Yiheyuan Road, Beijing, 100871, China
推荐引用方式 GB/T 7714	Zhang X.,Du S.,Du S.,et al. How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing[J],2020,249.
APA	Zhang X.,Du S.,Du S.,&Liu B..(2020).How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing.Remote Sensing of Environment,249.
MLA	Zhang X.,et al."How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing".Remote Sensing of Environment 249(2020).