Bulletin of Surveying and Mapping ›› 2023, Vol. 0 ›› Issue (9): 107-112.doi: 10.13474/j.cnki.11-2246.2023.0273

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Quantifying the structural characteristics of Shenzhen road network by POI spatial distribution

GUO Han1, MA Ding2,3,4, YE Aiwen4, MA Kenan1, ZHU Wei4   

  1. 1. Shenzhen Data Management Center of Planning and Natural Resources, Shenzhen 518172, China;
    2. College of Land Engineering, Chang'an University, Xi'an 710064, China;
    3. Xi'an Key Laboratory of National Land Spatial Information, Xi'an 710064, China;
    4. Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
  • Received:2022-12-06 Published:2023-10-08

Abstract: Streets as the main infrastructure of a city,not only characterize the urban form,but also works as carriers of human political,economic,cultural and social activities. In the past,the exploration of urban roads mostly focused on the analysis of the relevant factors of geographical geometric space and the surrounded built environment,but seldom studied from topological network perspective. Taking Shenzhen as an example,this paper depicts the network structure characteristics of urban roads through four kinds of centrality indicators,and analyses the complex-network structure and its correlation with the distribution of Shenzhen POI data. The results show that those four structural centrality indicators help to explain the complex characteristics of urban road networks from different angles. Moreover,the degree centrality of road network structure and the eigenvector centrality have higher relevance to the interpretation of POI,but less for the betweenness centrality and closeness centrality. At the urban scale,we also find that expressways are mostly used for transportation but less social activities,so they have a lower correlation. At the street scale,the main roads in each community support the social activities,so both their centrality values and correlations are relatively higher.

Key words: network structure, POI, spatial distribution, Shenzhen

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