Spatiotemporal Evolution of Residential Exposure to Green Space in Beijing
文献类型：期刊论文
| 作者 | Cao, Yue2; Li, Guangdong2; Huang, Yaohui2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 15期号:6页码:1549 |
| 关键词 | urban green space residential exposure to green space green space quality spatiotemporal evolution |
| DOI | 10.3390/rs15061549 |
| 文献子类 | Article |
| 英文摘要 | Urban green space has a critical impact on the urban ecological environment, residents' health, and urban sustainability. Quantifying residential exposure to green space and proposing targeted enhancement strategies in urban areas is helpful to rationally plan urban green space construction, reduce the inequality in residential exposure to green space, and promote environmental equity. However, the long-time evolution analysis of residential exposure to green space at different scales and the influence of green space quality on residential exposure to green space are rarely reported. Here we produced a long-time series dataset of urban green space from 1990 to 2020 based on the 30 m Landsat data and used the Normalized Difference Vegetation Index (NDVI) as a representation of the green space quality to comprehensively analyze residential exposure to green space at the city and block scales within the 5th ring of Beijing, China. We found that the urban green space in Beijing is mainly distributed in urban areas between the 4th and 5th rings (i.e., 153.4 km(2) in 2020), and there is little green space within the 2nd ring area (i.e., 12.6 km(2) in 2020). There is clear spatial inequality in residential exposure to green space, and about 2.88 million (i.e., similar to 27%) residents have experienced different degrees of decline in residential exposure to green space from 2015 to 2020. However, the degree of inequality in residential exposure to green space has gradually weakened from a high level (Palma ratio = 2.84) in 1990 to a relatively low level (Palma ratio = 0.81) in 2020. In addition, the spatial-temporal analysis method of residential exposure to green space based on green space quality has certain advantages that can help explore the degraded and lost areas of green space. |
| WOS关键词 | ACCESSIBILITY ; ACCESS ; QUALITY ; HEALTH |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000959098800001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190516]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cao, Yue,Li, Guangdong,Huang, Yaohui. Spatiotemporal Evolution of Residential Exposure to Green Space in Beijing[J]. REMOTE SENSING,2023,15(6):1549. |
| APA | Cao, Yue,Li, Guangdong,&Huang, Yaohui.(2023).Spatiotemporal Evolution of Residential Exposure to Green Space in Beijing.REMOTE SENSING,15(6),1549. |
| MLA | Cao, Yue,et al."Spatiotemporal Evolution of Residential Exposure to Green Space in Beijing".REMOTE SENSING 15.6(2023):1549. |
入库方式： OAI收割
来源：地理科学与资源研究所
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