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Identification and analysis of urban functional area in Hangzhou based on OSM and POI data

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  • Ziyi Wang
  • Debin Ma
  • Dongqi Sun
  • Jingxiang Zhang

Abstract

The accurate identification of urban functional areas is of great significance for optimizing urban spatial structure, rationally allocating spatial elements, and promoting the sustainable development of the city. This paper proposes a method to precisely identify urban functional areas by coupling Open Street Map (OSM) and Point of Interest (POI) data. It takes the central urban area of Hangzhou as a case study to analyze the spatial distribution characteristics of the functional areas. The results show that: (1) The central urban areas of Hangzhou are divided into 21 functional areas (6 single functional areas, 14 mixed functional areas and 1 comprehensive functional area). (2) The single functional areas and the mixed functional areas show the geographical distribution characteristics of the looping stratification, which means “Core-periphery” differentiation is obvious, and the comprehensive functional area is relatively scattered. (3) The mixed degree of regional function with ecological function and production function is low while comprehensive functional areas are usually associated with higher potential and vitality. (4) The identification results are in great agreement with the actual situation of Hangzhou central urban area, and the method is feasible. Therefore, this paper can provide a reference for urban development planning and management.

Suggested Citation

  • Ziyi Wang & Debin Ma & Dongqi Sun & Jingxiang Zhang, 2021. "Identification and analysis of urban functional area in Hangzhou based on OSM and POI data," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-20, May.
  • Handle: RePEc:plo:pone00:0251988
    DOI: 10.1371/journal.pone.0251988
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    Cited by:

    1. Ya Li & Chunxia Liu & Yuechen Li, 2022. "Identification of Urban Functional Areas and Their Mixing Degree Using Point of Interest Analyses," Land, MDPI, vol. 11(7), pages 1-17, June.
    2. Tianle Li & Xinqi Zheng & Chunxiao Zhang & Ruiguo Wang & Jiayu Liu, 2022. "Mining Spatial Correlation Patterns of the Urban Functional Areas in Urban Agglomeration: A Case Study of Four Typical Urban Agglomerations in China," Land, MDPI, vol. 11(6), pages 1-18, June.

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