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多源数据驱动街区空间品质提升设计方法探索

陈泳 袁美伦

上海城市规划2024,Vol.4Issue(4):56-63,8.
上海城市规划2024,Vol.4Issue(4):56-63,8.DOI:10.11982/j.supr.20240408

多源数据驱动街区空间品质提升设计方法探索

Method Exploration of Multi-source Data-driven Design of Blocks'Spatial Quality Improvement:A Case Study of the Winning Scheme of Shanghai Urban Design Challenge

陈泳 1袁美伦2

作者信息

  • 1. 同济大学建筑与城市规划学院
  • 2. 浙江省城乡规划设计研究院
  • 折叠

摘要

Abstract

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.

关键词

多源数据/街区更新/空间品质/数据驱动设计

Key words

multi-source data/block renewal/spatial quality/data-driven design

分类

建筑与水利

引用本文复制引用

陈泳,袁美伦..多源数据驱动街区空间品质提升设计方法探索[J].上海城市规划,2024,4(4):56-63,8.

基金项目

国家自然科学基金资助项目"认知友好社区环境的步行主动干预要素及影响机理研究——以上海为例"(编号52178023) (编号52178023)

"升级公共交通导向发展模式(TOD2)——应对气候中和的公共空间与交通枢纽设计方法与技术"(编号72361137008)资助. (TOD2)

上海城市规划

OA北大核心CHSSCDCSTPCD

1673-8985

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