Urban green spaces that provide multiple ecosystem services play a vital role in improving the urban environment,promoting residents'health,and enhancing well-being.Rational allocation of green spaces in high-density urban built environments,while meeting objectives such as ecological benefits,social equity,and land use constraints,is one of the key pathways to achieving sustainable urban development.This article uses the central urban area of Wuhan as a case study,selecting three ecosystem services—air purification,heat island mitigation,and rainwater regulation—as targets for optimizing ecological benefits.The Gini coefficient of green space allocation is used to represent fairness.A multi-objective linear programming method is employed to construct an optimization model for urban green space allocation,aiming to maximize both ecosystem services and fairness.The study's results indicate that the urban green space allocation optimization model,based on multi-objective linear programming,can comprehensively consider various social and environmental constraints,integrate multiple ecosystem services,and balance the trade-offs between ecological benefits and fairness.The model offers sufficient flexibility and scalability,providing new methods and insights for optimizing green space allocation in Wuhan and other urban areas.
关键词
城市绿色空间/生态系统服务/多目标优化/公平性/配置优化
Key words
urban green space/ecosystem services/multi-objective optimization/equity/allocation optimization
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