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Correlations between an Urban Three-Dimensional Pedestrian Network and Service Industry Layouts Based on Graph Convolutional Neural Networks: A Case Study of Xinjiekou, Nanjing

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  • Xinyu Hu

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
    Jinpu Research Institute, Nanjing Forestry University, Nanjing 210037, China)

  • Ruxia Bai

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

  • Chen Li

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

  • Beixiang Shi

    (School of Architecture, Southeast University, Nanjing 210037, China)

  • Hui Wang

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

Abstract

Urban high-density development has led to the emergence of complex three-dimensional pedestrian networks. As a crucial component of city centers, these networks significantly influence the spatial distribution of service industries. Understanding the correlation between pedestrian networks and service industry layouts is vital for effective planning and development. This study proposes a technical framework for analyzing the relationship between three-dimensional pedestrian networks and service industry layouts. Using the Xinjiekou central area in Nanjing as a case study, we constructed a three-dimensional pedestrian network model using the sDNA method. Focusing on catering formats, we introduced a method to study the spatial distribution characteristics of service industries in three-dimensional spaces and employed a graph convolutional network model to systematically analyze the correlation between pedestrian network closeness and betweenness with catering formats. The results indicate that pedestrian network closeness is significantly positively correlated with the number and average spending of catering formats, while betweenness shows almost no correlation. High-closeness areas, due to their traffic convenience and walkability, are more conducive to the concentration of catering formats and higher spending levels. Our findings provide valuable insights for catering format location decisions and the optimization of three-dimensional pedestrian networks, contributing to sustainable urban development.

Suggested Citation

  • Xinyu Hu & Ruxia Bai & Chen Li & Beixiang Shi & Hui Wang, 2024. "Correlations between an Urban Three-Dimensional Pedestrian Network and Service Industry Layouts Based on Graph Convolutional Neural Networks: A Case Study of Xinjiekou, Nanjing," Land, MDPI, vol. 13(10), pages 1-20, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1553-:d:1485228
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    References listed on IDEAS

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    2. Gerhard JB Bruyns & Christopher D Higgins & Darren H Nel, 2021. "Urban volumetrics: From vertical to volumetric urbanisation and its extensions to empirical morphological analysis," Urban Studies, Urban Studies Journal Limited, vol. 58(5), pages 922-940, April.
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