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Identification and Optimization of the Spatial Structure of Urban and Rural Settlements from a Hierarchical Network Perspective

Author

Listed:
  • Qingqing Ye

    (School of Engineering Management and Real Estate, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Jiwei Li

    (School of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China)

  • Xuesong Kong

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Shaokai Zhang

    (Geophysical and Spatial Information Institute of Henan Province, Zhengzhou 450009, China)

Abstract

China has entered a new era of comprehensive promotion of rural revitalization and integrated urban–rural development. The identification and optimization of the spatial structure of urban and rural settlements are of great significance to the realization of rural revitalization and integrated urban–rural development. This study proposes a method framework for identifying and optimizing the spatial structure of urban and rural settlements from a hierarchical network perspective. This framework includes three parts—namely, the identification, analysis, and optimization of the hierarchical network structure of these settlements. The identification of this structure is the foundation of this study. To realize the identification, for each settlement, this study finds and retains its strongest interaction with other settlements which have a stronger capacity for development. This study used Hua County in Henan, China, as an example to verify the method framework. Results showed that the spatial structure of the urban and rural settlements in Hua County identified in this study was complete and continuous, with significant hierarchical and community characteristics. Based on this, a five-level optimization system of these settlements was constructed. This study expands the method used to study the spatial structure of urban and rural settlements from the network perspective and has a theoretical and practical significance for the optimization of the spatial structure of these settlements.

Suggested Citation

  • Qingqing Ye & Jiwei Li & Xuesong Kong & Shaokai Zhang, 2021. "Identification and Optimization of the Spatial Structure of Urban and Rural Settlements from a Hierarchical Network Perspective," Land, MDPI, vol. 10(11), pages 1-21, November.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1177-:d:670641
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    References listed on IDEAS

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    Cited by:

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    2. Hao Mei & Jin Yang & Mingshun Xiang & Xiaofeng Yang & Chunjian Wang & Wenheng Li & Suhua Yang, 2022. "Evaluation and Optimization Model of Rural Settlement Habitability in the Upper Reaches of the Minjiang River, China," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    3. Xiaohu Liu & Lei Yuan & Gangyi Tan, 2023. "Identification and Hierarchy of Traditional Village Characteristics Based on Concentrated Contiguous Development—Taking 206 Traditional Villages in Hubei Province as an Example," Land, MDPI, vol. 12(2), pages 1-19, February.
    4. Leiru Wei & Xiaojie Zhao & Jianxin Lu, 2022. "Measuring the Level of Urban–Rural Integration Development and Analyzing the Spatial Pattern Based on the New Development Concept: Evidence from Cities in the Yellow River Basin," IJERPH, MDPI, vol. 20(1), pages 1-26, December.
    5. Hailing Liu & Wenjun Fan & Xiaoyu Zhou & Yuting Wang & Chengcheng Yuan & Liming Liu, 2024. "From Solo to Cluster Governance: An Empirical Study of Transforming Rural Management in Guiyang, China," Land, MDPI, vol. 13(10), pages 1-21, September.
    6. Jizhe Zhou & Yanhong Jiang & Shaolin Niu & Lan Li & Weijia Li & Yahui Zhang & Dongyang Liu, 2023. "Spatial Optimization of Rural Settlements in a Small Watershed Based on Social Network Analysis," Networks and Spatial Economics, Springer, vol. 23(3), pages 799-823, September.
    7. Xiaoping Zhang & Jinzhou Li & Juncai Xu, 2024. "Micro-Scale Analysis and Optimization of Rural Settlement Spatial Patterns: A Case Study of Huanglong Town, Dayu County," Land, MDPI, vol. 13(7), pages 1-12, July.

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