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An RP-MCE-SOP Framework for China’s County-Level “Three-Space” and “Three-Line” Planning—An Integration of Rational Planning, Multi-Criteria Evaluation, and Spatial Optimization

Author

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  • Mingjie Song

    (College of Public Administration, Central China Normal University, Wuhan 430079, China
    Department of Geography and Planning, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • DongMei Chen

    (Department of Geography and Planning, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Katie Woodstock

    (Department of Geography and Planning, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Zuo Zhang

    (College of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Yuling Wu

    (College of Public Administration, Central China Normal University, Wuhan 430079, China)

Abstract

“Three-space” (including agricultural space, urban and rural construction space, and ecological space) and “three-line” (including urban development boundary, prime farmland control line, basic ecological control line) planning has been regarded as an essential measure for China’s city and county level “multiple-plan integration”. It handles the multiple planning objectives of development management, agricultural land preservation, and ecological resource protection. This article proposes a rational planning with multi-criteria evaluation and spatial optimization (RP-MCE-SOP) framework for China’s county-level “three-space” and “three-line” planning by following the rational planning (RP) model and taking advantages of multi-criteria evaluation (MCE) and spatial optimization (SOP) techniques. The framework includes five steps of building the SOP model, land suitability evaluation with MCE, optimization problem solving, post-processing of land allocation solutions, and applying post-processed solutions to “three-space” and “three-line” planning. The framework was implemented in Dongxihu District of Wuhan City with the Boolean aggregation and analytical hierarchy analysis (AHP) MCE techniques and the patch-based Non-dominated Genetic Algorithm (NSGA-II) SOP algorithm. The case study shows: (1) The framework is feasible and useful for assisting decision making in “three-space” and “three-line” planning. (2) The planning solutions protect ecologically sensitive spaces and high-quality agricultural land and plan future construction in the urban peripheral area or transportation convenient areas. (3) The solutions are useful for planning the hard boundaries for ecological resource protection and prime farmland preservation and setting both hard and soft boundaries for urban growth.

Suggested Citation

  • Mingjie Song & DongMei Chen & Katie Woodstock & Zuo Zhang & Yuling Wu, 2019. "An RP-MCE-SOP Framework for China’s County-Level “Three-Space” and “Three-Line” Planning—An Integration of Rational Planning, Multi-Criteria Evaluation, and Spatial Optimization," Sustainability, MDPI, vol. 11(11), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:2997-:d:234807
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    References listed on IDEAS

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    1. Yaolin Liu & Jinjin Peng & Limin Jiao & Yanfang Liu, 2016. "PSOLA: A Heuristic Land-Use Allocation Model Using Patch-Level Operations and Knowledge-Informed Rules," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-21, June.
    2. Makena Coffman & Karen Umemoto, 2010. "The triple-bottom-line: framing of trade-offs in sustainability planning practice," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 12(5), pages 597-610, October.
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    Cited by:

    1. Jingeng Huo & Zhenqin Shi & Wenbo Zhu & Xin Chen & Hua Xue & Ran Ma & Yanhui Yan, 2022. "Delineation of the Development Boundary of the Central District of Zhengzhou, China," Land, MDPI, vol. 11(9), pages 1-18, August.

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