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

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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)

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.

Suggested Citation

  • Hailing Xu & Jianghong Zhu & Zhanqi Wang, 2019. "Exploring the Spatial Pattern of Urban Block Development Based on POI Analysis: A Case Study in Wuhan, China," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6961-:d:294863
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    References listed on IDEAS

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    1. Javad Koohpayma & Amir Tahooni & Mohammadreza Jelokhani-Niaraki & Jamal Jokar Arsanjani, 2019. "Spatial Analysis of Curb-Park Violations and Their Relationship with Points of Interest: A Case Study of Tehran, Iran," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    2. Wenze Yue & Yang Chen & Qun Zhang & Yong Liu, 2019. "Spatial Explicit Assessment of Urban Vitality Using Multi-Source Data: A Case of Shanghai, China," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    3. Ningcheng Wang & Yufan Liu & Jinzi Wang & Xingjian Qian & Xizhi Zhao & Jianping Wu & Bin Wu & Shenjun Yao & Lei Fang, 2019. "Investigating the Potential of Using POI and Nighttime Light Data to Map Urban Road Safety at the Micro-Level: A Case in Shanghai, China," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
    4. Deyi Feng & Lingli Tu & Zhongwei Sun, 2019. "Research on Population Spatiotemporal Aggregation Characteristics of a Small City: A Case Study on Shehong County Based on Baidu Heat Maps," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    5. Miltiadis D. Lytras & Anna Visvizi & Akila Sarirete, 2019. "Clustering Smart City Services: Perceptions, Expectations, Responses," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    6. Pan, Haozhi & Deal, Brian & Chen, Yan & Hewings, Geoffrey, 2018. "A Reassessment of urban structure and land-use patterns: distance to CBD or network-based? — Evidence from Chicago," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 215-228.
    7. Beibei Yu & Zhonghui Wang & Haowei Mu & Li Sun & Fengning Hu, 2019. "Identification of Urban Functional Regions Based on Floating Car Track Data and POI Data," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
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