Exploring the Spatial Pattern of Urban Block Development Based on POI Analysis: A Case Study in Wuhan, China

Hailing Xu, Jianghong Zhu and Zhanqi Wang
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Hailing Xu: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Jianghong Zhu: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Zhanqi Wang: School of Public Administration, China University of Geosciences, Wuhan 430074, China

Sustainability, 2019, vol. 11, issue 24, 1-25

Abstract: As a kind of geospatial big data, point of interest (POI) with useful information has become a hot research topic. Compared with traditional methods, big data has great potential in developing a more accurate method for identifying the urban spatial pattern. This paper uses diversity index and kernel density analysis of POI data on several types of urban infrastructure to investigate the identification of urban block development stages in Wuhan, and divides them into the primary, growth, and mature stage. Its accuracy is verified by exploring urban micro-centers. Results show that: (1) the spatial pattern of urban blocks in Wuhan presents the distribution of “mature blocks concentrated like a core, growth blocks distributed like two wings, and primary blocks with wide range distributed surround”; (2) areas with more connected construction land and streets with better socio-economic status tend to have a higher level of maturity, vice versa; (3) balancing the number of micro-centers at different stages is beneficial to promote the flattened urban development of Wuhan in the future. The research proves that this method is feasible, and it is also applicable to the study of urban spatial pattern in other cities.

Keywords: POI data; diversity index; kernel density analysis; spatial pattern of urban block development; Wuhan city (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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