上海城市规划2025，Vol.181Issue(2)：32-39,8.DOI:10.11982/j.supr.20250205
基于大语言模型的城市街区情感空间识别与更新策略研究——以上海市四川北路街区为例
Research on Emotional Space Identification and Regeneration Strategies for Urban Neighborhoods Based on Large Language Models:A Case Study of the North Sichuan Road Neighborhood in Shanghai
摘要
Abstract
Addressing the challenge of quantifying human emotional elements in urban renewal,this study constructs a research framework of"data collection-emotion recognition-urban renewal strategy"to explore human-centric renewal pathways driven by artificial intelligence technologies.By integrating large language models(LLMs)and knowledge graph technology,the research systematically synthesizes massive heterogeneous data from social media,resident hotlines,news supplement,and in-depth interviews.Taking Shanghai's North Sichuan Road neighborhood as a case study,it identifies eight categories of emotional spaces and conducts emotional scoring for 3 697 spatial data points.Key findings include:(1)There is a strong coupling relationship between emotional hotspots and physical urban fabric;(2)Nostalgia and joy collectively form the neighborhood's emotional foundation;(3)Negative emotional spaces exhibit functional mismatch-driven nodal clustering patterns.The study demonstrates that the synergistic application of multi-source data and AI technologies expands observational dimensions for emotional space analysis,providing a feasible approach to integrate technical tools with humanistic values in precision-oriented urban renewal.关键词
多源数据/大语言模型/情感空间/城市更新/规划技术Key words
multi-source data/large language models/emotional space/urban regeneration/planning technologies分类
土木建筑引用本文复制引用
周静,邝远霄,吴书驰,张华钰,韦家璇..基于大语言模型的城市街区情感空间识别与更新策略研究——以上海市四川北路街区为例[J].上海城市规划,2025,181(2):32-39,8.基金项目
教育部人文社会科学研究一般项目"艺术疗愈介入下社区环境对老年人健康的影响机制研究"(编号23YJAZH222) （编号23YJAZH222）
2024年度上海市决策咨询大都市规划建设专项课题"基于人工智能技术的城市更新区域空间识别及演化特征研究"(编号2024-Z-W05-A)资助. （编号2024-Z-W05-A）
