Spatial Sustainable Development Assessment Using Fusing Multisource Data from the Perspective of Production-Living-Ecological Space Division: A Case of Greater Bay Area, China
文献类型：期刊论文
| 作者 | Gao, Ku1,3; Yang, Xiaomei1,3; Wang, Zhihua1,3; Zhang, Huifang1,3; Huang, Chong1,3; Zeng, Xiaowei1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-06-01 |
| 卷号 | 14期号:12页码:21 |
| 关键词 | LUCC SDGs11 3 1 space production-living-ecological space multi-spatial scales spatial sustainable development assessment GBA |
| DOI | 10.3390/rs14122772 |
| 通讯作者 | Wang, Zhihua(zhwang@lreis.ac.cn) |
| 英文摘要 | United Nations Sustainable Development Goal SDG11.3.1-the ratio of land consumption rate (LCR) to population growth rate (PGR) (LCRPGR)-aims to measure the efficiency and sustainability of urban land use. In recent years, SDG11.3.1 has been widely used in sustainable urban development research. However, previous studies have focused on the urban core area, while the sustainable development status of the urban peripheral areas (suburban and rural areas) that contribute significantly to the ecological environment has been neglected. To this end, relying on land use/cover change (LUCC) data obtained from high-resolution remote sensing satellite images rather than the single impervious surface data used in traditional research, according to the multiple functions of the land use type, the city is divided into three types of space: production, living, and ecological spaces. Research from the perspective of multi-scale coordination is of great significance for gaining a comprehensive understanding of the sustainable development status of urban space. Taking the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in China as an example, in this paper, LUCC remote sensing data and comprehensive population and gross domestic product (GDP) data are used. From the multi-functional production-living-ecological space perspective, based on the original land use efficiency indicator, the ratio of land consumption rate (LCR) to economic growth rate (EGR) (LCREGR) is introduced and the analytic hierarchy process (AHP) is used to comprehensively evaluate the sustainable development level (SDL) of the space between 2000-2010 and 2010-2020 on the urban agglomeration and prefecture-level city scales. The results show that (1) the level of and changes in the spatial sustainable development are significantly different at different scales; (2) the division of the production-living-ecological spaces can guide cities to optimize different types of spaces in the future. This paper proposes a new evaluation method for spatial sustainable development, which provides a useful reference for any country or region in the world. |
| WOS关键词 | URBAN ; CLASSIFICATION |
| 资助项目 | National Natural Science Foundation of China[41890854] ; National Natural Science Foundation of China[41901354] ; Innovation Project of LREIS[O88RAA01YA] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000816352200001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Innovation Project of LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/180220]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Zhihua |
| 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.Inner Mongolia Agr Univ, Coll Desert Control Sci & Engn, Hohhot 010018, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Ku,Yang, Xiaomei,Wang, Zhihua,et al. Spatial Sustainable Development Assessment Using Fusing Multisource Data from the Perspective of Production-Living-Ecological Space Division: A Case of Greater Bay Area, China[J]. REMOTE SENSING,2022,14(12):21. |
| APA | Gao, Ku,Yang, Xiaomei,Wang, Zhihua,Zhang, Huifang,Huang, Chong,&Zeng, Xiaowei.(2022).Spatial Sustainable Development Assessment Using Fusing Multisource Data from the Perspective of Production-Living-Ecological Space Division: A Case of Greater Bay Area, China.REMOTE SENSING,14(12),21. |
| MLA | Gao, Ku,et al."Spatial Sustainable Development Assessment Using Fusing Multisource Data from the Perspective of Production-Living-Ecological Space Division: A Case of Greater Bay Area, China".REMOTE SENSING 14.12(2022):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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