基于社会网络分析的城市绿地健身网络特征研究——以上海市内环区域为例  

Social Network Analysis of Urban Green Space Fitness Network Characteristics:A Case Study of Shanghai's Inner Ring Area

作　　者：刘颂[1,2,3] 白钊成 柳迪子 沈培宇 LIU Song;BAI Zhaocheng;LIU Dizi;SHEN Peiyu(College of Architecture and Urban Planning(CAUP),Tongji University,Shanghai 200092;Digital Landscape Simulation Sub-lab of MOE Key Laboratory of Ecology and Energy Saving Study of Dense Habitat,Tongji University,Shanghai 200092;the National Steering Committee for Professional Degree Education in Landscape Architecture)

机构地区：[1]同济大学建筑与城市规划学院,上海200092 [2]同济大学高密度人居环境生态与节能教育部重点实验室数字景观模拟分实验室,上海200092 [3]全国风景园林专业学位研究生教育指导委员会

出　　处：《中国园林》2025年第4期23-30,共8页Chinese Landscape Architecture

基　　金：国家自然科学基金面上项目(52178050)。

摘　　要：绿地是城市居民健身活动的重要载体,但传统的绿地网络分析方法难以反映居民的实际使用模式。以上海市内环区域为例,利用健身轨迹数据构建城市绿地网络,并运用社会网络分析方法,从节点、子群和整体3个层次分析了绿地健身网络的结构特征。研究显示:1)绿地节点呈现出“核心-边缘”结构,节点中心度受绿地内部道路长度、周围写字楼面积等内外部环境因素影响;2)健身网络存在显著的区域隔离,利用结构洞识别到了工业用地阻隔、滨水空间私有化、里弄绿化缺失、交通干线阻隔4类典型的绿地隔离情景;3)健身网络整体连接稀疏且同质性较高,稳定性较低。本研究基于“真实连通性”视角,为构建支持人群活动的城市绿地网络提供数据驱动的规划支持。Urban green spaces serve as essential venues for residents' fitness activities,contributing significantly to urban public health and well-being.In response to the national strategy of "Healthy China 2030",cities have begun to emphasize the integration of fitness activities with green space systems.For instance,Shanghai proposes the concept of "integrating sports and green spaces" and aims to construct "an interconnected,accessible urban green leisure network that links green spaces and penetrates communities".However,traditional green space network analyses,primarily based on accessibility metrics and ecological connectivity,often fail to reflect actual usage patterns and network characteristics.While urban green space network construction has shifted from focusing on ecological functions to supporting human activities,research on actual connectivity based on residents' dynamic behavior patterns remains insufficient.This gap is particularly evident in high-density urban areas where the efficient integration of green spaces with residents' fitness activities becomes crucial for promoting public health.Taking Shanghai's Inner Ring Area as a case study,this research employs social network analysis(SNA) to examine the structural characteristics of urban green space fitness networks from three hierarchical levels:node importance,regional differences,and overall stability.The study analyzed 152 green spaces,categorized into large parks,community parks,and pocket parks.Using fitness trajectory data from the "2bulu" platform,we collected 4,561 valid walking and running trajectories between March and April 2024 to construct the network.Node centrality indices and environmental factors were analyzed using geographical detector analysis,while community detection and structural hole analysis were applied to identify regional patterns and connectivity barriers.The research specifically focused on understanding how different scales of green spaces function within the fitness network and how environmental factors influence thei

关 键 词：风景园林 社会网络分析 绿地网络 健康城市 健身轨迹数据 数据驱动 

分 类 号：TU986[建筑科学—城市规划与设计]