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Long-Term Evolution of Ecologically Fragile Waterside Rural Areas and Strategies for Local Spatial Planning: An Empirical Study in Baiyangdian, China

Author

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  • Chaoqun Wang

    (Harbin Institute of Technology (Shenzhen), HIT Campus of University Town of Shenzhen, Shenzhen 518055, China
    These authors contributed equally to this work.)

  • Jie He

    (Harbin Institute of Technology (Shenzhen), HIT Campus of University Town of Shenzhen, Shenzhen 518055, China
    These authors contributed equally to this work.)

Abstract

Under the dynamics of urbanization and counterurbanization, rural areas in China face both challenges and opportunities with the government’s new-town policy. A comprehensive analysis is essential for developing effective strategies. Characterized by traditional water settlements and high ecological sensitivity, Anxin County, which encompasses 50% of Baiyangdian Lake, was selected as a case study. Anxin County was incorporated into the National New Area in 2017, and it served as an experimental site for green ecological development. This study aims to provide insights into the sustainable spatial planning of Anxin County’s settlements by examining their long-term evolution and locational differences, modeling the driving mechanisms, and proposing differentiated spatial planning strategies based on predictive outcomes. Our research findings indicate the folllowing: (1) Anxin County’s settlements have expanded significantly in the past, with a notable surge between 1975 and 1996. Initially, semi-waterside settlements experienced the fastest growth before the 1970s, followed by land settlements. (2) Natural and socio-economic factors are modeled as independent variables to explain the evolution of settlement areas. The results indicate a decreasing impact of natural factors and an increasing influence of socio-economic factors over time. Furthermore, the evolution of settlements in water areas is relatively straightforward and random, whereas land settlements are influenced by a complex array of factors. (3) Utilizing the model to predict settlement growth, the study identifies settlements requiring relocation, and it proposes the most suitable relocation targets for them. A total of 23 villages, including Bei Tianzhuang and Cai Putai, are identified for relocation, while villages such as Ma Village, Bian Village, and Liu Lizhuang have strong capacities for accepting in-migrants. The study also offers recommendations for enhancing waterfront landscapes, flexible land use, road network systems, and internal construction.

Suggested Citation

  • Chaoqun Wang & Jie He, 2024. "Long-Term Evolution of Ecologically Fragile Waterside Rural Areas and Strategies for Local Spatial Planning: An Empirical Study in Baiyangdian, China," Land, MDPI, vol. 13(10), pages 1-27, October.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1675-:d:1498450
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    References listed on IDEAS

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    1. Jichang Cui & Yanbo Qu & Yan Li & Lingyun Zhan & Guancheng Guo & Xiaozhen Dong, 2022. "Reconstruction of Rural Settlement Patterns in China: The Role of Land Consolidation," Land, MDPI, vol. 11(10), pages 1-20, October.
    2. Zhou, Yang & Li, Yamei & Xu, Chenchen, 2020. "Land consolidation and rural revitalization in China: Mechanisms and paths," Land Use Policy, Elsevier, vol. 91(C).
    3. Tong, De & Sun, Yiyu & Tang, Junqing & Luo, Zhenying & Lu, Jinfeng & Liu, Xuan, 2023. "Modeling the interaction of internal and external systems of rural settlements: The case of Guangdong, China," Land Use Policy, Elsevier, vol. 132(C).
    4. Li, Jing & Lo, Kevin & Zhang, Pingyu & Guo, Meng, 2021. "Reclaiming small to fill large: A novel approach to rural residential land consolidation in China," Land Use Policy, Elsevier, vol. 109(C).
    5. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
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