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Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone
Hu, Yunfeng1; Han, Yueqi1,2
2019-03-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume11Issue:5Pages:15
Corresponding AuthorHu, Yunfeng(huyf@lreis.ac.cn) ; Han, Yueqi(hanyq.16s@igsnrr.ac.cn)
AbstractFunctional areas are the basic spatial units in which cities or development zones implement urban plans and provide functions. Internet map big data technology provides a new method for the identification and spatial analysis of functional areas. Based on the POI (point of interest) data from AMap (a map application of AutoNavi) from 2017, this paper proposes an urban functional areas recognition and analysis method based on the frequency density and the ratio of POI function types. It takes the Guangzhou Economic and Technological Development Zone as a case study to analyze the main function and spatial distribution characteristics of the detailed functional areas. The research shows the following: (1) The POI frequency density index and the function type ratio can effectively distinguish the functions of the grid units and analyze the spatial distribution characteristics of a complex functional area. (2) The single functional area is the most common area type in the Guangzhou Economic and Technological Development Zone. The largest proportion of all areas is allocated to traditional manufacturing industry functional areas, followed by high-tech enterprises, catering and entertainment, real estate, and education and health care, in descending order. The smallest proportion is allocated to finance and insurance functional areas. (3) The current layout of the functional areas in the Guangzhou Economic and Technological Development Zone conforms to the overall requirements and planning objectives of the central and local government. The layout and agglomeration of different blocks within the economic development zone are consistent with local industry's target orientation and development history.
Keywordpoint of interest data mining function identification spatial distribution regional planning
DOI10.3390/su11051385
WOS KeywordCHINA
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of Chinese Academy of Sciences[XDA23100201] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010202] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA19040301] ; National Key Research and Development Plan Program in China[2016YFC0503701] ; National Key Research and Development Plan Program in China[2016YFB0501502] ; Key Project of High Resolution Earth Observation System in China[00-Y30B14-9001-14/16]
Funding OrganizationStrategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Plan Program in China ; Key Project of High Resolution Earth Observation System in China
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000462661000169
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/48690
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHu, Yunfeng; Han, Yueqi
Affiliation1.Chinese Acad Sci, 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
Hu, Yunfeng,Han, Yueqi. Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone[J]. SUSTAINABILITY,2019,11(5):15.
APA Hu, Yunfeng,&Han, Yueqi.(2019).Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone.SUSTAINABILITY,11(5),15.
MLA Hu, Yunfeng,et al."Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone".SUSTAINABILITY 11.5(2019):15.
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