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Evaluating the Sustainable Development Goals within Spatial Planning for Decision-Making: A Major Function-Oriented Zone Planning Strategy in China

Author

Listed:
  • Hongpeng Fu

    (Khoury College of Computer Science, Northeastern University, Seattle, WA 98122, USA
    College of Architecture and Landscape, Peking University, Beijing 100871, China
    These authors contributed equally to this work.)

  • Jiao Liu

    (College of Architecture and Landscape, Peking University, Beijing 100871, China
    These authors contributed equally to this work.)

  • Xiaotian Dong

    (College of Architecture and Landscape, Peking University, Beijing 100871, China)

  • Zhenlin Chen

    (Department of Energy Science and Engineering, Stanford University, Stanford, CA 94305, USA)

  • Min He

    (China Urban Construction Design & Research Institute Co., Ltd., Beijing 100120, China)

Abstract

Sustainable Development Goals (SDGs) serve as a reference point in the global policy-making process, with their quantitative evaluation at various scales integrating spatial planning still under exploration. Major Function Oriented Zone (MFOZ) planning in China emerges as an innovative strategy, focusing on ecosystem services to achieve sustainable development. This study takes MFOZ planning as an example, and assesses SDG implementation within the MFOZ framework, focusing on 288 cities. Then, this study analyzes the zoning types of SDG realization status through cluster analysis. Based on this, we explore the influencing factors of the SDGs from the perspective of socioeconomic and environmental characteristics, and ecosystem services, and propose target strategies. The research found that there are four zoning types according to the SDG realization status, including mixed-oriented with high consumption and output (24.3%), non-agriculture-oriented with low consumption and high output (12.5%), agriculture-oriented with low consumption and output (55.9%), and agriculture-oriented with high consumption and output (7.3%) cities. Most cities do not demonstrate high efficiency in resource consumption output, and the realization status of SDGs urgently needs to improve. Socio-economic development during urbanization challenges SDGs, while the traditional environmental measures have limited effects. Ecosystem services could help improve SDGs, including GDP growth rate, and reduce water resource development intensity and carbon emissions. Focusing solely on numerical values of SDGs, such as water efficiency, may harm ecosystem services and go against sustainable development. This research underscores the necessity of adapting SDG strategies to the unique contexts of cities and has practical significance for enabling more targeted and effective strategies for SDG implementation, integrating spatial planning, and aligning local efforts with global sustainability aspirations.

Suggested Citation

  • Hongpeng Fu & Jiao Liu & Xiaotian Dong & Zhenlin Chen & Min He, 2024. "Evaluating the Sustainable Development Goals within Spatial Planning for Decision-Making: A Major Function-Oriented Zone Planning Strategy in China," Land, MDPI, vol. 13(3), pages 1-22, March.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:390-:d:1359648
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    References listed on IDEAS

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    3. He, Zhichao & Zhao, Chunhong & Fürst, Christine & Hersperger, Anna M., 2021. "Closer to causality: How effective is spatial planning in governing built-up land expansion in Fujian Province, China?," Land Use Policy, Elsevier, vol. 108(C).
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    Cited by:

    1. Ziliang Zhao & Xiaolong Li & Yaya Liu & Lingfan Yang & Meng Liu, 2024. "Exploring Spatial Differentiation in Cultural Urban Land Use in China’s Ancient and Emerging Cities: A Comparative Case Study of Xi’an and Shenzhen," Sustainability, MDPI, vol. 16(22), pages 1-22, November.
    2. Qun Zhang & Lili Wang & Hanmei Wang & Yang Chen & Chunhua Tian & Yixi Shao & Tiange Liu, 2024. "An Improved Framework of Major Function-Oriented Zoning Based on Carrying Capacity: A Case Study of the Yangtze River Delta Region," Land, MDPI, vol. 13(11), pages 1-18, October.

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