城市建筑2026，Vol.23Issue(15)：30-32,3.DOI:10.19892/j.cnki.csjz.2026.15.09
AIGC赋能老旧社区生活性街道优化设计方法研究
Research on the Optimized Design Methods for the Living Streets in Old Communities Empowered by AIGC
摘要
Abstract
As China's urbanization has entered a stock-based renewal phase,the optimization of the living streets in old communities has become a vital issue in urban governance.Serving as critical carriers for urban renewal,such streets are generally plagued by multiple dilemmas,including aging infrastructure,mixed spatial functions,broken cultural heritage and declining commercial vitality.This paper aims to explore an integrated solution featured by"technology empowerment,cultural inheritance and governance upgrading".To address the above problems,this paper proposes an AIGC-centered design framework.Relying on three functional modules of generative design,intelligent simulation and data-driven decision-making,it establishes a dynamic closed-loop optimization system of"perception-generation-verification".关键词
AIGC视角/湖北老旧社区/生活性街道/优化设计Key words
perspective of AIGC/old communities in Hubei/living streets/optimized design分类
建筑与水利引用本文复制引用
史青,季廷义..AIGC赋能老旧社区生活性街道优化设计方法研究[J].城市建筑,2026,23(15):30-32,3.基金项目
2023年湖北省教育厅科学研究计划"AIGC赋能湖北老旧社区空间优化设计方法研究"(B2023311) （B2023311）
2025年湖北省教育科学规划项目"数智化生态下艺术设计专业学生元认知能力提升研究"(2025GB313) （2025GB313）
2024年汉口学院科研项目(2024KXYJ029) （2024KXYJ029）
2025年汉口学院大学生创新训练计划(X202511800077) （X202511800077）
