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Integrated Planning for Regional Development Planning with Low Carbon Development Constraint under Uncertainty: A Case Study of Qingpu District, Shanghai

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  • Wentao Lu

    (School of Environment, Tsinghua University, Beijing 100084, China
    Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100012, China
    The Center for Beautiful China, Chinese Academy of Environmental Planning, Beijing 100012, China)

  • Zhenghui Fu

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Yang Zhang

    (College of Environmental Science and Engineering, Peking University, Beijing 100871, China)

  • Yuxuan Qiao

    (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China)

  • Lei Yu

    (Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100012, China)

  • Yi Liu

    (School of Environment, Tsinghua University, Beijing 100084, China)

Abstract

Regional development planning systems contain multiple uncertainties which come from economic restructuring, resource management, carbon peak action, environmental protection, and other factors, it is difficulty to handle all of these uncertainties in one method. In order to solve this problem, a new model developed in this study combines an interval fuzzy program with an environmental quality model for regional development planning in order to provide optimal solutions. The interval fuzzy program is put forward based on interval parameter programming (IPP) and fuzzy programing (FP). The environmental quality model is used to calculate water environmental capacity and atmospheric capacity, which are set as constraint conditions in the model. In order to meet the requirements of carbon peak action, a low carbon development constraint is added to the model. In this model, decision makers can choose the satisfaction level of constraints based on their preferences. The results suggest that the methodology is applicable for the regional development planning system within the planning period. The developed model can be used to generate a series of optimization schema under multiple credibility levels, ensuring that the regional development planning system can meet both societal demands and environmental quality requirements, considering a proper balance between the expected system benefits and risks of violating the resource constraint and low carbon development constraint.

Suggested Citation

  • Wentao Lu & Zhenghui Fu & Yang Zhang & Yuxuan Qiao & Lei Yu & Yi Liu, 2021. "Integrated Planning for Regional Development Planning with Low Carbon Development Constraint under Uncertainty: A Case Study of Qingpu District, Shanghai," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10511-:d:640540
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    References listed on IDEAS

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