城市规划学刊Issue(3)：21-28,8.DOI:10.16361/j.upf.202603003
面向精准城市设计方案的时空活力数智推演方法
A Computational Framework for Spatiotemporal Urban Vitality Modeling in Precision Urban Design
摘要
Abstract
As China's urban development shifts toward enhancing the quality of the existing built environment,fostering urban vitality has become a key objective of ur-ban design and renewal.However,existing urban vitality assessments mainly rely on post-development observations,limiting their ability to support the optimization of ur-ban design proposals during the planning stage.This study integrates multi-source ur-ban data with machine learning algorithms and proposes a computational framework for spatiotemporal urban vitality modeling.The framework combines fine-grained built environment data and Location-Based Service(LBS)data and employs a Long Short-Term Memory(LSTM)neural network architecture to capture spatiotemporal vi-tality patterns.Based on the design indicators of urban design proposals,this ap-proach enables the generation of block-scale vitality curves at an hourly temporal resolution.Furthermore,transfer experiments and practical applications are conducted to validate the method's cross-city adaptability and practical applicability.By introduc-ing a spatiotemporal vitality perspective into urban design evaluation,this study pro-vides a quantitative approach to support urban design optimization and vitality en-hancement.关键词
计算性城市设计/精准更新/时空活力Key words
computational urban de-sign/precise urban regeneration/spatio-temporal vitality分类
建筑与水利引用本文复制引用
叶宇,徐嘉豫,刘雨轩,林中杰,石邢..面向精准城市设计方案的时空活力数智推演方法[J].城市规划学刊,2026,(3):21-28,8.基金项目
国家重点研发计划项目"基于文脉保护的城市风貌特色塑造理论与关键技术"(项目编号:2023YFC3805500) （项目编号:2023YFC3805500）
上海市基础研究特区计划"基于多模态知识增强大模型的城市风貌特色塑造"(项目编号:22TQ1400300) （项目编号:22TQ1400300）
同济院2023年自主课题(揭榜挂帅类)"风貌赓续导向的建筑设计智能优化工具研究:基于AIGC"(项目编号:2023J-JB05) （揭榜挂帅类）
中央高校基本科研业务费专项资金资助"面向未来建筑的理论认知智能体建构:基于多模态知识图谱与大语言模型"(项目编号:2025-1-ZD-02) （项目编号:2025-1-ZD-02）
