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

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 in one method. In order solve this problem, a new model developed study combines an interval fuzzy program with quality for regional provide optimal solutions. The put forward based on parameter programming (IPP) programing (FP). used calculate water capacity atmospheric capacity, are set as constraint conditions the model. meet requirements low added model, decision makers can choose satisfaction level constraints their preferences. results suggest that methodology applicable system within period. be generate series optimization schema under credibility levels, ensuring both societal demands requirements, considering proper balance between expected benefits risks violating constraint.