大数据支持下的城市设计实践——衡山路复兴路历史文化风貌区公共活动空间网络规划

发布时间：2018-02-09 19:20

本文关键词： 城市设计大数据慢行系统公共活动空间网络　出处：《城市规划学刊》2017年02期 　论文类型：期刊论文

【摘要】：基于2016年上海城市设计挑战赛衡复项目专业组一等奖获奖方案,从设计理念、技术路线、规划策略等方面说明大数据支持城市设计的途径。首先,分析衡复地区现状特征,提出庭院街区的概念。使用大数据分析居民活动的时空特征,为五个庭院街区划分提供了直接依据。然后,依据共享的规划理念,在大数据和传统定量分析方法结合下进行了慢行系统规划,包括日常步行线路规划、特色旅游步行线路规划及自行车骑行线路规划。最后,将慢行系统与地区内公共资源进行叠加,将公共空间与人的活动紧密结合,完成公共活动空间网络规划。方案探索了以规划设计理念先行、大数据分析验证;大数据与传统定量分析方法支持方案生成和复核的两种大数据支持城市设计实践的技术途径。
[Abstract]:Based on the first prize winning scheme of Heng Fu Project Professional Group of Shanghai Urban Design Challenge in 2016, this paper illustrates big data's ways to support urban design from the aspects of design concept, technical route and planning strategy. First of all, the characteristics of Heng Fu area are analyzed. Put forward the concept of courtyard block. Use big data to analyze the temporal and spatial characteristics of residents' activities, which provides a direct basis for the division of five courtyard blocks. Then, according to the concept of shared planning, Under the combination of big data and the traditional quantitative analysis method, the slow system planning is carried out, including the daily walking route planning, the characteristic tourism walking route planning and the bicycle riding route planning. Finally, The slow moving system is superposed with the public resources in the area, and the public space and human activities are closely combined to complete the network planning of the public activity space. The scheme explores the concept of planning and design first, big data analysis and verification; Big data and traditional quantitative analysis method support two kinds of technical ways of supporting urban design practice.
【作者单位】：同济大学建筑与城市规划学院高密度人居环境生态与节能教育部重点实验室;
【分类号】：TU984

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