IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7368-d1135722.html
   My bibliography  Save this article

Analysis of Spatio-Temporal Evolution of Regional Settlements under the Background of Rapid Urbanization: A Case Study in Sishui County, China

Author

Listed:
  • Dongling Ma

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China)

  • Yuhan Li

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
    Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China)

  • Qingji Huang

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China)

  • Baoze Liu

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China)

Abstract

China’s urbanization has achieved rapid development in the past 20 years, with towns expanding in size and the population increasing, while rural society has also undergone dramatic changes. An in-depth study on the evolution process of rural settlements in the context of rapid urbanization is beneficial to the rational planning of villages and the promotion of green and sustainable urban development. Located in East China, Sishui County is in the transition area between three types of landforms: hills, plains, and mountains. The spatial distribution of rural settlements in the urbanization process shows obvious regional differences. To our best knowledge, research on the spatio-temporal evolution of regional settlements in Sishui County is rare. In this study, we chose Sishui County as the study area, utilized Landsat5 (TM) and Landsat8 (OLI) satellite data as remote sensing data sources, and applied Geographic Information System (GIS) spatial analysis methods, central place theory, and core–periphery theory to explore the evolution process for the pattern, scale, and structure of rural settlements in this region from 2000 to 2021 and to investigate the influencing factors. The results show that: (1) in terms of the evolution of the rural settlement pattern, its distribution shows a gradual increase in the degree of dispersion, which indicates an overall development trend in the region of Sishui County in recent years and that the trend is gradually increasing; (2) in terms of scale evolution, the degree and speed of expansion in rural settlements of Sishui County have gradually decreased, and the scale grade has gradually increased; (3) in terms of structural evolution, the hierarchy system in rural settlements of Sishui County is constantly being improved and optimized from a simple to a complex core–periphery structure. These results will provide data support for the rational planning of villages and sustainable, high-quality urban development. They will also help local governments take appropriate measures to achieve coordinated and sustainable socio-economic and environmental development in the region.

Suggested Citation

  • Dongling Ma & Yuhan Li & Qingji Huang & Baoze Liu, 2023. "Analysis of Spatio-Temporal Evolution of Regional Settlements under the Background of Rapid Urbanization: A Case Study in Sishui County, China," Sustainability, MDPI, vol. 15(9), pages 1-29, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7368-:d:1135722
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7368/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7368/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maomao Zhang & Weigang Chen & Kui Cai & Xin Gao & Xuesong Zhang & Jinxiang Liu & Zhiyuan Wang & Deshou Li, 2019. "Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China," IJERPH, MDPI, vol. 16(22), pages 1-22, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorge Salas & Víctor Yepes, 2020. "Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    2. Liudan Jiao & Bowei Han & Qilin Tan & Yu Zhang & Xiaosen Huo & Liu Wu & Ya Wu, 2024. "An Improved DPSIR-DEA Assessment Model for Urban Resilience: A Case Study of 105 Large Cities in China," Land, MDPI, vol. 13(8), pages 1-23, July.
    3. Maomao Zhang & Abdulla-Al Kafy & Bing Ren & Yanwei Zhang & Shukui Tan & Jianxing Li, 2022. "Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    4. Hui Xu & Yang Li & Lin Wang, 2020. "Resilience Assessment of Complex Urban Public Spaces," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    5. Jiang, Nana & Jiang, Wei & Wang, Yanfei & Zhang, Jinning, 2024. "Impact of financial reform on urban resilience: Evidence from the financial reform pilot zones in China," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    6. Shukui Tan & Maomao Zhang & Ao Wang & Qianlin Ni, 2021. "Spatio-Temporal Evolution and Driving Factors of Rural Settlements in Low Hilly Region—A Case Study of 17 Cities in Hubei Province, China," IJERPH, MDPI, vol. 18(5), pages 1-18, March.
    7. Yanning Si & Lizhi Liang & Wenguang Zhou, 2024. "An Evaluation of Urban Resilience Using Structural Equation Modeling from Practitioners’ Perspective: An Empirical Investigation in Huangshi City, China," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
    8. Jie Yang & Yanan Ding & Lin Zhang, 2022. "Conceptualizing and Measuring Megacity Resilience with an Integrated Approach: The Case of China," Sustainability, MDPI, vol. 14(18), pages 1-26, September.
    9. Geng, Bo & Tian, Yugang & Zhang, Lihao & Chen, Bo, 2023. "Evolution and its driving forces of rural settlements along the roadsides in the northeast of Jianghan Plain, China," Land Use Policy, Elsevier, vol. 129(C).
    10. Xiaotong You & Yanan Sun & Jiawei Liu, 2022. "Evolution and analysis of urban resilience and its influencing factors: a case study of Jiangsu Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1751-1782, September.
    11. Gao, Feng & Lin, Yijie & Zhang, Xuanming & Li, Shanhong & Lv, Yanqin, 2023. "Interconnectedness between land resource misallocation and environmental pollution: Exploring the sustainable development potential in China," Resources Policy, Elsevier, vol. 86(PB).
    12. Yan Chen & Hao Hou & Yao Li & Luoyang Wang & Jinjin Fan & Ben Wang & Tangao Hu, 2022. "Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China," IJERPH, MDPI, vol. 19(12), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7368-:d:1135722. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.