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Micro-Scale Analysis and Optimization of Rural Settlement Spatial Patterns: A Case Study of Huanglong Town, Dayu County

Author

Listed:
  • Xiaoping Zhang

    (School of Surveying and Spatial Information Engineering, East China University of Technology, Nanchang 330013, China
    Jiangxi Province Key Laboratory of Basin Ecological Process and Information, East China University of Technology, Nanchang 330013, China)

  • Jinzhou Li

    (School of Surveying and Spatial Information Engineering, East China University of Technology, Nanchang 330013, China
    Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration, East China University of Technology, Nanchang 330013, China)

  • Juncai Xu

    (Department of Civil Engineering, Case Western Reserve University, Cleveland, OH 44106, USA)

Abstract

Optimizing the spatial patterns of rural settlements is crucial for rural development and revitalization. Enhancing the internal spatial configuration of these settlements necessitates a comprehensive understanding of their micro-scale spatial characteristics. This study develops evaluation indicators and methodologies to quantify rural settlement spatial patterns by analyzing their multidimensional aspects. The research utilizes Huanglong Town in Dayu County, Jiangxi Province, as a case study for exploring micro-scale spatial patterns and proposing corresponding optimization models. The research employs remote sensing image processing and GIS spatial analysis to collect data on the study area. The results indicate that rural settlements in Huanglong Town generally form clustered patterns with moderate spatial structure intensity and order. Notably, spatial heterogeneity is observed across the northern mountainous area, the central plain and low hilly region, and the southern hilly area. Based on these findings, the study categorizes rural settlements in Huanglong Town into four optimization models: stable improvement, internal potential exploitation, controlled expansion, and relocation and withdrawal. Each model is associated with differentiated optimization strategies. By integrating analyses of spatial form, structure, and order, this study reveals the intrinsic spatial characteristics of rural settlements, offering a systematic approach to guide their spatial optimization.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:966-:d:1426954
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    References listed on IDEAS

    as
    1. 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.
    2. Xiaoping Zhang & Xinyi Wang & Zihong Hu & Juncai Xu, 2023. "Landscape Pattern Changes and Climate Response in Nagqu Hangcuo National Wetland Park in the Tibetan Plateau," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
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    Cited by:

    1. John Adekunle Adesina & Yuanyuan Liu & Xiaolan Tang & Yujie Ren, 2024. "Assessing the Impact of Geospatial Susceptibility on the Rural Agricultural Landscapes of Village Settlements in Southwestern Nigeria," Land, MDPI, vol. 13(10), pages 1-24, October.

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