IGSNRR OpenIR
Big Data-Based Evaluation of Urban Parks: A Chinese Case Study
Xu, Zening1,2; Gao, Xiaolu1,2; Wang, Zhiqiang1; Fan, Jie1
2019-04-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume11Issue:7Pages:16
Corresponding AuthorGao, Xiaolu(gaoxl@igsnrr.ac.cn)
AbstractUrban 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.
Keywordurban parks service area prefecture-level cities POI big data
DOI10.3390/su11072125
WOS KeywordGREEN SPACE ; ENVIRONMENTAL JUSTICE ; SPATIAL-DISTRIBUTION ; ACCESSIBILITY ; CITY ; EQUITY ; TRANSFORMATION ; POPULATION ; VEGETATION ; PATTERNS
Indexed BySCI
Language英语
Funding ProjectNatural 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]
Funding OrganizationNatural Science Foundation of China ; Key Program of the Chinese Academy of Sciences ; National Science and Technology Support Program of China
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000466551600302
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59763
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGao, Xiaolu
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xu, Zening]'s Articles
[Gao, Xiaolu]'s Articles
[Wang, Zhiqiang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu, Zening]'s Articles
[Gao, Xiaolu]'s Articles
[Wang, Zhiqiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu, Zening]'s Articles
[Gao, Xiaolu]'s Articles
[Wang, Zhiqiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.