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

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.

Big Data Supported Urban Design: Public Activity Network Plan in Fuxing-Hengshan Road Historical and Cultural Area

This paper introduces the top-prize plan of Fuxing-Hengshan Area for the professional group category of Shanghai Urban Design Challenge Competition 2016.It introduced the approach of employing big data to support the development of design concept,technical route and planning strategies.Firstly,we analyze the characteristics of the present situation of Fuxing-Hengshan Area and put forward the design concept of courtyard block.Then we use big data to analyze the spatial and temporal characteristics of residents' activities,and this provides the basis for the division of five courtyard blocks.Secondly,based on the'sharing'concept,we integrate big data and traditional quantitative analytical method to support the slow traffic system planning that includes daily pedestrian route planning,tourist pedestrian route planning and bicycle route planning.Finally,we combine the slow traffic system and the public resources in this area while the spatial network plan for public activities is accomplished by linking human activities and public spaces closely.In this project,we explore two technical approaches of big data supported urban design.The first one is to give priority to design concept and using big data to verify the concept and the second one is to integrate big data and traditional quantitative analytical methods to support plan development and review.