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Demography-Oriented Urban Spatial Matching of Service Facilities: Case Study of Changchun, China

Author

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  • Yingzi Chen

    (Northeast Asian Research Center, Jilin University, Changchun 130012, China)

  • Yaqi Hu

    (Northeast Asian College, Jilin University, Changchun 130012, China)

  • Lina Lai

    (Changchun Municipal Engineering and Research Institute Co., Ltd., Changchun 130022, China)

Abstract

People-oriented urban planning requires that service facilities should efficiently meet individual and community activity needs across the demographic landscape that defines a city. To develop a conceptual basis for urban spatial infrastructure optimization, we empirically studied existing population activities and service facilities in Changchun, China, using kernel density estimation, bivariate spatial autocorrelation analysis, and other models. The spatial relationships we derived from multiple sources of big data such as mobile phone signaling and POI data indicated that the intensity of population activity has obvious temporal regularity, and its spatial distribution is “center-periphery.” Service facilities display a “One main and two subs” distribution with no obvious spatial dependence between the core’s density and diversity. Population activities and service facility diversity show a high-high spatial correlation and multiple matching patterns. At the same time, a certain degree of spatial mismatch between different age groups and service facilities was also observed. Our research suggests several urban renewal actions to rectify this mismatch, such as: decentralizing the core area medical service facilities; reducing the attractiveness of the core area and its traffic pressure; and renewing and renovating old facilities to reduce construction costs. At a government planning level, construction along the periphery of the urban can enrich the diversity of its service facilities to improve the efficiency of spatial allocation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1660-:d:925292
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Xiang Li & Jiang Zhu & Tao Liu & Xiangdong Yin & Jiangchun Yao & Hao Jiang & Bing Bu & Jianlong Yan & Yixuan Li & Zhangcheng Chen, 2023. "Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China," Land, MDPI, vol. 12(6), pages 1-21, June.
    3. Jiayi Zhang & Yingzi Chen & Yaqi Hu & Lina Lai, 2023. "Spatial Equality of Urban Care Facilities from the Perspective of Refinement: An Example from Changchun, China," Land, MDPI, vol. 12(9), pages 1-20, August.
    4. Kangxu Wang & Weifeng Wang & Tongtong Li & Shengjun Wen & Xin Fu & Xinhao Wang, 2023. "Optimizing Living Service Amenities for Diverse Urban Residents: A Supply and Demand Balancing Analysis," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    5. Shulin Zhang & Xuejie Zhang & Yang Liu, 2023. "A study of the influence of sports venues on the intra-city population layout based on multi-source data—Taking Xi’an city and Zhengzhou city as examples," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-16, May.
    6. Adipandang Yudono & Firman Afrianto & Annisa Dira Hariyanto, 2023. "The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia," IJERPH, MDPI, vol. 20(6), pages 1-21, March.

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