数据自适应城市设计的方法与实践——以上海衡复历史街区慢行系统设计为例

基于存量型数据增强设计,提出了数据自适应城市设计的理念,倡导将后置式空间测度反馈与规划设计过程进行结合,将长周期的规划设计评估转换为短周期的空间反馈与空间干预,并在未来的城市建设中落实数据测度基础设施的建设,通过精细化的“订制大数据”的反馈来实现设计方案和空间使用的可持续良性互动.对数据自适应城市设计的方法与实践进行了系统的阐述.首先,基于对城市设计方法沿革的剖析和大数据在城市设计中的各个层级和各个阶段的运用场景,提出了大数据在城市设计中的机会与挑战;其次,提出了数据自适应城市设计的四个核心内涵、三个阶段的基本流程、两类数据工具;最后以上海衡复历史街区慢行系统设计为例,从实践的角度详细介绍了数据自适应城市设计方案在存量更新中的运用.

Methodology and Practice of Data Adaptive Urban Design: Case Study of Slow Traffic System Design in Shanghai Hengfu Historical District

This paper proposes data adaptive urban design concept based on data augmented urban design.It integrates post-positioned spatial measurement feedback into the process of urban planning and design,which converts the long-term planning evaluation into short-term spatial feedback and intervention.It proposes to build data sensor infrastructure to promote sustainable reciprocal interaction of urban design and spatial utilization based on precise "customized big data" feedback system.This paper firstly analyzes the opportunities and challenges of big data application in urban design based on a review of development history of urban design,and big data application in each step of urban design.Secondly,it discusses the attributes,basic workflow,and instruments of data adaptive urban design.Finally,it illustrates the case of data adaptive urban design of slow traffic system in Shanghai Hengfu Historical District.