基于图像数据与时空数据的城市意向理论新发现:局限、拓展与应用  

Advancement in Understanding the City Image Based on Image and Spatiotemporal Data:Limitations,Expansion,and Applications

作　　者：韩胜发 李继军 崔蕰泽 HAN Shengfa;LI Jijun;CUI Yunze

机构地区：[1]上海同济城市规划设计研究院有限公司规划五所 [2]上海同济城市规划设计研究院有限公司

出　　处：《城市规划学刊》2024年第S1期127-133,共7页Urban Planning Forum

摘　　要：城市意向理论是城市设计领域解析城市空间结构的重要基础理论,随着经济社会发展和技术工具更新,该理论在实践中的局限性越发凸显,主要表现为规划实践中的空间尺度局限、城市风貌局限和静态思维局限。为解决该理论存在的局限,从城乡规划和行为地理学跨学科研究视角,基于“时间序列、空间分布、行为模式”三个维度,利用图像感知数据和时空位置数据解析城市尺度的城市意向。从图示特征、人群作用、要素关系、空间尺度、理论基础和研究方法等六个方面阐述了城市意向理论的新发现,揭示了城市意向的结构特征、动态特征和新意向要素,旨在从小数据到大数据、从静态地图到动态地图、从局部地区到城市整体的城市意象分类、分级研究方法创新,拓展城市意象理论的内涵。The image of the city is a foundational theory for analyzing urban spatial structure within urban design.However,with economic and social development and advancements in technological tools,the limitations of this theory in practice have become increasingly prominent.These limitations mainly manifests in terms of spatial scale,urban style,and static thinking in planning practice.To address the limitations of this theory,this study takes an interdisciplinary approach,combining insights from urban and rural planning and behavioral geography.Using image perception data and spatiotemporal location data,the paper analyzes urban images at the city scale across three dimensions:time series,spatial distribution,and behavioral patterns.It elaborates on the new findings of urban image from six aspects:graphic features,crowd effects,element relationships,spatial scales,theoretical foundations,and research methods.It highlights the structural characteristics,dynamic characteristics,and new elements of urban image.The study brings innovations to urban image classification and grading methods from small to big data,from static to dynamic mapping,and from local areas to entire cities,expanding the scope and connotation of urban image theory.

关 键 词：城市图像感知 手机信令数据 数据意向 动态地图 宿州市 

分 类 号：TU984[建筑科学—城市规划与设计]