Big Data-Based Evaluation of Urban Parks: A Chinese Case Study
文献类型:期刊论文
作者 | Xu, Zening1,2; Gao, Xiaolu1,2![]() ![]() ![]() |
刊名 | SUSTAINABILITY
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出版日期 | 2019-04-01 |
卷号 | 11期号:7页码:16 |
关键词 | urban parks service area prefecture-level cities POI big data |
ISSN号 | 2071-1050 |
DOI | 10.3390/su11072125 |
通讯作者 | Gao, Xiaolu(gaoxl@igsnrr.ac.cn) |
英文摘要 | Urban parks play a key role in urban sustainable development. This paper proposes a method for the evaluation of public parks from the perspective of accessibility and quality. The method includes the data extraction of urban park locations and the delineation of urban built-up areas. The processing of urban park data not only involves the extraction from digital maps, but also the classification of urban parks using a semi-automated model in ArcGIS. The urban area is identified using the Point of Interest (POI) data in digital maps, taking economic and human activities into consideration. The service area and its overlapped time is included in the evaluation indicators. With a clear definition of park and urban built-up area, the evaluation result of urban parks is of great comparability. Taking China as an example, the quality of urban parks in 273 prefecture-level cities has been evaluated. The results show that the average service coverage of urban parks in Chinese cities is 64.8%, and that there are significant disparities between cities with different population sizes and locations. The results suggest the necessity to improve public parks in small-and-medium sized cities and inland areas to strengthen the coordination of urbanization and regional development. |
WOS关键词 | GREEN SPACE ; ENVIRONMENTAL JUSTICE ; SPATIAL-DISTRIBUTION ; ACCESSIBILITY ; CITY ; EQUITY ; TRANSFORMATION ; POPULATION ; VEGETATION ; PATTERNS |
资助项目 | Natural Science Foundation of China[41871171] ; Key Program of the Chinese Academy of Sciences[KZZD-EW-06-04] ; National Science and Technology Support Program of China[2012BAI32B07] |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000466551600302 |
出版者 | MDPI |
资助机构 | Natural Science Foundation of China ; Key Program of the Chinese Academy of Sciences ; National Science and Technology Support Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/59762] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Gao, Xiaolu |
作者单位 | 1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Anal & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Zening,Gao, Xiaolu,Wang, Zhiqiang,et al. Big Data-Based Evaluation of Urban Parks: A Chinese Case Study[J]. SUSTAINABILITY,2019,11(7):16. |
APA | Xu, Zening,Gao, Xiaolu,Wang, Zhiqiang,&Fan, Jie.(2019).Big Data-Based Evaluation of Urban Parks: A Chinese Case Study.SUSTAINABILITY,11(7),16. |
MLA | Xu, Zening,et al."Big Data-Based Evaluation of Urban Parks: A Chinese Case Study".SUSTAINABILITY 11.7(2019):16. |
入库方式: OAI收割
来源:地理科学与资源研究所
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