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Identification of the Spatial Structure of Urban Polycentres Based on the Dual Perspective of Population Distribution and Population Mobility

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  • Rongrong Zhang

    (School of Political Science and Law, Zhengzhou University of Light Industry, Zhengzhou 450000, China)

  • Ming Li

    (Land Consolidation and Rehabilitation Center, MNR (Land Science and Technology Innovation Center, MNR), Beijing 100035, China)

  • Xiao Zhang

    (Land Consolidation and Rehabilitation Center, MNR (Land Science and Technology Innovation Center, MNR), Beijing 100035, China)

  • Yuanyuan Guo

    (School of Political Science and Law, Zhengzhou University of Light Industry, Zhengzhou 450000, China)

  • Yonghe Li

    (Henan Urban Planning Institute & Co., Ltd., Zhengzhou 450044, China)

  • Qi Gao

    (School of Economics and Trade, School of Marxism, Guangdong University of Foreign Studies, Guangzhou 510006, China)

  • Song Liu

    (Guangzhou Academy of Social Sciences, Guangzhou 510410, China)

Abstract

The accelerated growth of urban areas has resulted in substantial alterations to the spatial structure of these settlements. The accurate identification of the multi-centre spatial structure is a fundamental prerequisite for the assessment of urban spatial development and the optimisation of urban space. Accordingly, this study aimed to identify the multi-centre spatial structure of cities through a novel approach of data fusion based on night-time lighting data, LandScan data, and population heat data. Furthermore, this study compared the differential effects of population distribution and population mobility in identifying urban spatial structures. The empirical research results for Zhengzhou City demonstrate that the accuracy of using LandScan data fusion to identify multi-centre spatial structures was 0.7463, while the accuracy of using night-time light data fusion to identify urban spatial structures through population mobility reached 0.8235. This suggests that, in the context of increasing population mobility and economic activity, the integration of population mobility data may have a significant impact on the accuracy of urban spatial research. Moreover, this study places a dual focus on population distribution and population mobility and a new method of data integration for urban spatial research. These are of considerable practical value in facilitating spatial optimisation and the coordinated development of cities.

Suggested Citation

  • Rongrong Zhang & Ming Li & Xiao Zhang & Yuanyuan Guo & Yonghe Li & Qi Gao & Song Liu, 2024. "Identification of the Spatial Structure of Urban Polycentres Based on the Dual Perspective of Population Distribution and Population Mobility," Land, MDPI, vol. 13(8), pages 1-20, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1159-:d:1445181
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    References listed on IDEAS

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