首页|精准更新导向下的数字化城市设计实践探索——以上海市陆家嘴水环为例

精准更新导向下的数字化城市设计实践探索——以上海市陆家嘴水环为例

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  • NETL
  • NSTL
  • 万方数据
本研究面向精准更新需求,提出了数字化城市设计分析范式,推动设计分析与效能评估从主观经验向量化解析的转换.在现状问题研判上以"人本"为核心,基于移动互联网LBS数据解析场地人口组成与行为特点,基于路网组构和sDNA诊断慢行堵点断点,基于美团与微博数据研判空间品质,基于结构化网页数据与POI兴趣点数据提炼功能布局,在方案效能评估上强调"量化",结合大数据案例库与空间分析技术形成针对性效能提升分值评价.陆家嘴水环片区,这一紧邻上海核心CBD的"城市背面",作为具有更新潜力和复合问题的代表性区域被选为案例.通过多源城市数据和城市设计分析技术的城市体检,本研究在实现从问题诊断到效能评估的多环节嵌入性支持的同时保证了相关分析方式的可推广性.通过实践需求引导下的技术与设计深度融合,本文有望为设计科学(Design Science)新范式的涌现提供针对性探索.
Precise Urban Regeneration via Digital Urban Design:Using Lujiazui Water Loop Project as the Case
In this study,a digital urban design analysis paradigm is proposed to facilitate the conversion of design anal-ysis and performance evaluation from subjective experience to quantitative analysis in order to meet the demand for precise urban regeneration.It adopts a'human-centric'approach in diagnosing current issues,analyzing site popula-tion composition and behavioral characteristics based on mobile internet LBS data,diagnosing slow traffic bottlenecks based on road network composition and sDNA,assessing spatial quality based on social media data,and refining functional layout based on structured web page data and point of interest data.The study emphasizes'quantification'in scheme efficiency evaluation,combining a big data case library with spatial analysis technology to form a targeted ef-ficiency improvement score evaluation.The Lujiazui Water Loop area,a'city backside'adjacent to Shanghai's core CBD and a representative area with potential for regeneration and complex issues,is selected as a case study.By integrating multi-source urban data and urban design analysis technology,this study ensures the ease of use and scalability of the related analysis methods while achieving multi-link embedded support from problem diagnosis to efficiency evaluation.Through the deep integration of technology and design guided by practical needs,this paper is expected to provide tar-geted exploration for the emergence of a new Design Science paradigm.

Precise urban regenerationDigital urban designMulti-sourced urban dataDesign scienceUrban checkup

叶宇、张华丽、陈星汉、于瀚婷、陈君、匡晓明

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同济大学建筑与城市规划学院,高密度人居环境与生态节能(同济大学)教育部重点实验室

同济大学建筑与城市规划学院

上海同济城市规划设计研究院有限公司

精准更新 数字化城市设计 多源城市数据 设计科学 城市体检

国家自然科学基金面上项目国家自然科学基金国际(地区)合作与交流项目高密度人居环境生态与节能教育部重点实验室及上海同济城市规划设计研究院有限公司联合自主课题上海同济城市规划设计研究院有限公司教育部产学合作协同育人项目(2022)

5207834372361137008KY-2022-LH-A02220900155145615

2024

10.12285/jzs.20240403003

建筑师
中国建筑工业出版社

建筑师

影响因子：0.374
ISSN：1001-6740
年,卷(期)：2024.(2)
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