基于三维供需测度视角的绿色开放空间供需匹配精准识别与治理响应

——广州珠江新城高密度街区的实证研究

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Green Open Space Supply-Demand Mismatches： Precise Identification and Governance Responses Based on a ThreeDimensional Measurement Approach： A Case Study on the High-Density District of Zhujiang New Town， Guangzhou

ZOUNan，WUJunlong，HOU Yongming，LU Jiaxi

基金项目：国家自然科学基金“三维视角下建成区附属开放空间供需匹配测度与共享机制研究”（编号：52278053）

Abstract

In the context of urban development shifting toward a stock-oriented model that prioritizes quality and efficiency，greening in high-density central districts faces acute spatial constraints;precise identificationof green-space supply-demand matching is therefore crucial. Using the core area of Guangzhou’s Zhujiang New Town as a case，this study integrates 3D GIS-based accessibility analysis with web-based text analytics and multisource big data （online platformsand mobile signaling data） to examine matching patterns and use characteristics of green open spaces.Results indicate that public open spaces exhibit significantly lower matching than ancillary （building-affiliated） spaces;matching is jointlydriven by spatial accessibility and parcel-level real-time pedestrian flow，with the latter having the stronger effect;and building height significantly shapes matching for ancillary spaces.Accordingly，optimization strategiesareproposed，includingpromotingthe publicaccessibility and three-dimensional connectivity of ancillary open spaces，enhancing recreational amenities，and implementing bigdata-informed time-sharing management.

Keywords

3D-GIS accessibility analysis; Network textanalysis;Green open space;Matching supply and demand; Urban high-density area

文章亮点

1）构建“三维供给测度－动态需求感知－科学匹配评估”框架，融合3D-GIS可达性、手机信令和网络文本，实现地块尺度的绿色开放空间供需精准识别，为存量高密度中心城区绿色开放空间的精细化治理提供可操作的技术支撑。（剩余14628字）