多源数据驱动街区空间品质提升设计方法探索OA北大核心CHSSCDCSTPCD

With the transition of urbanization phases,enhancing the quality of neighborhood spaces has become a focal point of urban design in the new era.Concurrently,the rapid advancement of information technology is altering the context of traditional urban design,presenting greater possibilities for improving neighborhood space quality.Presently,the application of new data technologies in block-type urban design suffers from relatively limited research dimensions and insufficiently comprehensive content,making it challenging to objectively depict the organic relationship between neighborhood space quality and environmental elements holistically.This paper integrates the holistic view of urban design with the integrative capabilities of new data technology to explore the theoretical connotations,content composition,and target concepts for enhancing neighborhood space quality amidst existing stock updates.Subsequently,leveraging the advantages of multi-source data integration,a comprehensive research framework,a design indicator system comprising multiple dimensions and factors,and corresponding technological pathways are constructed.Finally,employing Xilingjiazhai Road,Wendingfang Commercial Street Neighborhood,and Small Lujiazui Financial and Business District as examples,the feasibility of this technological approach in diverse neighborhood environments is preliminarily validated through the analysis of key foundational indicators,problem diagnosis,goal vision,strategy framework,and assessment of design outcomes.