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Food Retail Network Spatial Matching and Urban Planning Policy Implications: The Case of Beijing, China

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Listed:
  • Saisai Wu

    (Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs/Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Lang Qin

    (Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs/Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Chen Shen

    (Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs/Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Xiangyang Zhou

    (Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs/Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Jianzhai Wu

    (Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs/Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

Food is the core of urban daily life and socio-economic activities but is rarely the focus of urban planning. The spatial layout of food retail outlets is important for optimizing the urban food system, improving land resource allocation, and encouraging healthy food consumption. Based on food retail POI data, this study employed kernel density estimation, road network centrality, spatial autocorrelation analysis, and locational entropy to analyze the spatial characteristics of supermarkets, produce markets, and small stores in an urban center in Beijing, and explored street coupling and supply-demand matching. The results indicated that within the study area: (1) supermarkets had an obvious “core-periphery” distribution, produce markets had a polycentric distribution, and small stores had a relatively uniform distribution; (2) road network centrality indices revealed a differentiated multi-core-edge distribution; (3) streets with high locational entropy values for supermarkets and produce markets were mostly concentrated in the central area, whereas the matching distribution of small stores was relatively balanced. From the perspective of urban planning, policy implications are proposed based on spatial and social equity, urban-rural differences, population structure and distribution status, and a resilient supply chain. The study findings have practical significance for guiding the development of urban food systems in a healthy, just, and sustainable direction, as well as rational urban land planning.

Suggested Citation

  • Saisai Wu & Lang Qin & Chen Shen & Xiangyang Zhou & Jianzhai Wu, 2022. "Food Retail Network Spatial Matching and Urban Planning Policy Implications: The Case of Beijing, China," Land, MDPI, vol. 11(5), pages 1-19, May.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:694-:d:809639
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    References listed on IDEAS

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