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<p>As a part of integrated urban ecosystems, green space is an important target of urban renewal planning. In the process of urban renewal of green space, it is difficult to control the special planning for green space systems, and the scale of urban public space is insufficient. From the perspective of spatial governance, it is of great practical importance to study the relationship between site selection optimization and the control of special planning for green space systems. This paper proposes a method of green space evaluation and site selection optimization based on Geographic Information System (GIS) modelling and particle swarm optimization algorithm. It optimizes the green space allocation by using the model constraints. Taking the special planning for green space systems in Gaochun District, Nanjing City as an example, it analyzes the constraints of the special planning for green space systems in the site selection optimization model from two perspectives: indicator conditional constraints and space requirement constraints. The GIS model of optimal site selection is introduced into the special planning for green space systems’ adjustment process in the context of urban renewal. This approach can bring a variety of positive benefits to meet the needs of green space sharing and people's well-being.</p>

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Research on the collaborative mechanism between site selection optimization model and control of green space planning under the background of urban renewal

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月1日

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  • Xiangyun Li,
  • Desheng Dai,
  • Jingwen Dong,
  • Kaili Hu

摘要

As a part of integrated urban ecosystems, green space is an important target of urban renewal planning. In the process of urban renewal of green space, it is difficult to control the special planning for green space systems, and the scale of urban public space is insufficient. From the perspective of spatial governance, it is of great practical importance to study the relationship between site selection optimization and the control of special planning for green space systems. This paper proposes a method of green space evaluation and site selection optimization based on Geographic Information System (GIS) modelling and particle swarm optimization algorithm. It optimizes the green space allocation by using the model constraints. Taking the special planning for green space systems in Gaochun District, Nanjing City as an example, it analyzes the constraints of the special planning for green space systems in the site selection optimization model from two perspectives: indicator conditional constraints and space requirement constraints. The GIS model of optimal site selection is introduced into the special planning for green space systems’ adjustment process in the context of urban renewal. This approach can bring a variety of positive benefits to meet the needs of green space sharing and people's well-being.