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Measuring the Spatial Match between Service Facilities and Population Distribution: Case of Lanzhou

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  • Yanbi Chen

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Zilong Zhang

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Institute of Green Development for the Yellow River Drainage Basin, Lanzhou University, Lanzhou 730000, China)

  • Lixia Lang

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Zhi Long

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Ningfei Wang

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Xingpeng Chen

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Bo Wang

    (CAUPD Beijing Planning and Design Consultants Ltd. (Northwest Branch Office), Lanzhou 730000, China)

  • Ya Li

    (College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China)

Abstract

With rapid urbanization and population growth, achieving equitable distribution of urban facilities in the city center has become a critical research focus due to limited land space and high population density. In this study, we propose a technical method to measure the spatial matching between urban service facilities and population at the grid resolution scale, using Baidu heat map and POI data. The method includes spatial heterogeneity analysis and spatial matching analysis between population density and service facilities. We apply the method to the main urban area of Lanzhou, a valley-type city in the upper reaches of the Yellow River, and measure the spatial matching between service facilities and population aggregation. Our results reveal the distribution characteristics of various service facilities and population aggregation in different time slots, and demonstrate that transportation facilities have the highest spatial matching with population aggregation, followed by real estate and education services, with rental business services exhibiting the lowest. The proposed method offers a new perspective for urban planners and decision-makers to understand the matching state between residents’ activity patterns and service facilities. Our findings can provide theoretical support for urban planning and optimize the layout of service facilities and regional function allocation.

Suggested Citation

  • Yanbi Chen & Zilong Zhang & Lixia Lang & Zhi Long & Ningfei Wang & Xingpeng Chen & Bo Wang & Ya Li, 2023. "Measuring the Spatial Match between Service Facilities and Population Distribution: Case of Lanzhou," Land, MDPI, vol. 12(8), pages 1-17, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1549-:d:1210811
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    References listed on IDEAS

    as
    1. Yingzi Chen & Yaqi Hu & Lina Lai, 2022. "Demography-Oriented Urban Spatial Matching of Service Facilities: Case Study of Changchun, China," Land, MDPI, vol. 11(10), pages 1-22, September.
    2. Yisheng Peng & Jiahui Liu & Tianyao Zhang & Xiangyang Li, 2021. "The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
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    Cited by:

    1. Miaoxi Zhao & Yuexi Yao & Galuh Syahbana Indraprahasta, 2023. "Reflection on Guangzhou’s Strategic Spatial Planning: Current Status, Conflicts, and Dilemmas," Land, MDPI, vol. 12(11), pages 1-21, October.

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