厚数据支持下的城市老旧社区公园更新路径研究--以上海松江人乐花园为例

Research on renewal path of urban old community park supported by thick data--A case study of Shanghai Songjiang Renle Garden

在城市有机更新的背景下,为解决老旧社区公园更新的困境,有效提升社区公共空间活力,以上海松江人乐花园为例,利用厚数据在用户需求调查方面的优势,采用“行为时空分布调查—行为状态与环境状况调查—行为动机与需求调查”的渐进式调查方法,以迭代分析形式对行为需求数据进行挖掘与重构,提出“相互吸引行为、具有组合潜力行为、相似性行为”的空间组合策略,“布局类型化、功能复合化、空间错时共享、景观要素提升精细化”更新设计策略,基于社区共治的针灸式整治策略。尝试提出厚数据支持下的老旧社区公园的长效更新路径,为同类老旧社区公园更新提供有益借鉴。

In the context of organic urban renewal,in order to solve the dilemma of old community park renew and enhance the vitality of community public space effectively,the research taking Shanghai Songjiang Renle Garden as an example,using the advantages of thick data,adopting the progressive investigation method of“behavior spatial-temporal distribution survey—behavior and environmental status survey—behavior motivation and demand survey”,mining and reconstructing behavioral demand data in the form of iterative analysis,and proposing the spatial combination strategy of“mutually attractive behavior,combined potential behavior,similar behavior”,the update design strategy of“typed layout,functional compounding,time-sharing,refinement of landscape elements”,and the remediation strategy based on community co-treatment.The research attempt to propose a long-term update path for old community parks supported by thick data,and hope to provide a useful reference for similar old community parks renew.