信息流介入公共空间活力营造——基于城市公园的大数据循证分析  

Intervention of Information Flow in the Creation of Public Space Vitality:An Evidence-Based Analysis of Big Data Based on Urban Parks

作　　者：魏迪 陆毅 汪原[1,2] 胡兴 WEI Di;LU Yi;WANG Yuan;HU Xing(School of Architecture and Urban Planning,Huazhong University of Science and Technology;Technology Research Center of Urbanization;College of Engineering,City University of Hong Kong,China)

机构地区：[1]华中科技大学建筑与城市规划学院 [2]湖北省城镇化工程技术研究中心 [3]香港城市大学工学院,中国香港

出　　处：《风景园林》2023年第7期86-93,共8页Landscape Architecture

基　　金：国家自然科学基金面上项目“基于学龄儿童户外活动分析的城市建成环境优化策略”(编号51778552);香港特别行政区研究资助局“Urban Greenness and Urban Residents’Health:A Novel Method to Assess Street Greenery”(编号11207520);中央高校基本科研业务费“基于时空大数据的城市公共空间公共性评价体系研究”(编号2021JYCXJJ009)。

摘　　要：【目的】基于多源城市大数据,探寻信息流与公共空间活力的关系。【方法】以深圳市125个城市公园及其用户生成内容(user generated content,UGC)为例,在控制区位特征、可达性、公共空间特征后,量化信息流对公共空间活力的影响。【结果】研究发现:信息流对空间活力具有显著的积极效应;信息流的不同变量(评分、情绪值、曝光度)与信息流类型对空间活力效应具有显著差异。【结论】研究结果证实了信息流的显著效应及其异质性,为公共空间的活力营造提供定量数据支撑与策略。通过分析信息流介入活力营造的现象与机制,进一步反思人、技术与城市的关系,以重新理解公共空间活力营造的当代性。[Objective]Urban public spaces are an essential carrier of everyday life,which can provide an interactive and integrative platform for urban social relationships at all levels.They embody the richness and diversity of urban life and are a crucial reflection of urban quality.It is necessary to clarify the formation mechanism of public space with high vitality.In recent years,a number of qualitative and quantitative studies have been conducted with a focus on the creation and influencing factors of public space vitality.However,with the reliance on urban infrastructure and information and communication technology,humanity has entered a new stage of information-driven society,leading to a new turn in spatial-temporal relationships.Although information flow is already an important intervention in everyday life in the mobile Internet era,it has received little attention.Therefore,this research explores the association between information flow and public space vitality using multi-source geographic big data.[Methods]Taking 125 urban parks in Shenzhen as examples,this research adopts multiple sets of urban big data to construct models to quantify the influence of information flow on the vitality of urban public spaces,and the data adopted include vector building and road data,remote sensing images,point of interest(POI)data,housing data,location-based service(LBS)data,and user-generated content(UGC)data.The UGC and LBS datasets are used to evaluate the information flows and vitality of urban public spaces,while the other datasets are used to calculate the covariates.Based on the collection of data and 316,929 UGCs with respect to the 125 sample parks in Shenzhen and the control of key covariates,this research quantifies the influence of information flow on public space vitality.[Results]Our research has four results:1)using urban parks and UGC as an example,this research reveals the temporal and spatial characteristics of public space vitality and information flow;2)the intervention of information flow has a significant

关 键 词：公共空间活力 信息流 移动互联网 社交媒体 城市公园 用户生成内容 大数据 

分 类 号：TU984.11.3[建筑科学—城市规划与设计]