上海城市规划2025，Vol.181Issue(2)：25-31,7.DOI:10.11982/j.supr.20250204
街道视觉智能在城市规划领域的分析范式转型
Paradigm Shift of Street Visual Intelligence in Urban Planning
摘要
Abstract
Streets serve as the foundational elements of urban environments.Their visual characteristics directly reflect urban spatial quality and influence residents'well-being.Street view imagery captures street scenes from a human perspective,providing a unique viewpoint for micro-level urban environment analysis and serving as an indispensable resource for urban planning.This study systematically reviews the development of street view image applications in urban planning,especially focusing on their integration with advancing artificial intelligence(AI)techniques.From early manual audits to feature extraction powered by statistical machine learning,and later to automated analysis driven by deep learning,the efficiency and accuracy of street view images utilization have markedly improved.In recent years,the incorporation of self-supervised learning and large language models has markedly enhanced the application potential of street view images,enabling more complex urban analysis compared to earlier approaches.By reviewing the application of street view data across different technological stages,this study illustrates how artificial intelligence has reshaped its analytical paradigms and explores its promising potential for future urban planning.关键词
街景图像/人工智能/城市规划/分析范式Key words
street view images/artificial intelligence/urban planning/analytical paradigm分类
土木建筑引用本文复制引用
尹瀚玙,孙玉梅,邬伦,张帆..街道视觉智能在城市规划领域的分析范式转型[J].上海城市规划,2025,181(2):25-31,7.基金项目
国家自然科学基金面上项目"基于街景大数据的城市物质空间多重语义表达"(编号42371468)资助. （编号42371468）
