文章摘要
盛强 李萌 张宇 于典 杨婧怡 王之轩 许泽阳.于多源数据空间分析的城市体检方法与更新策略——以北京市海淀街道为例[J].建筑师,2024,(2):13-21.
于多源数据空间分析的城市体检方法与更新策略——以北京市海淀街道为例
Urban Checkup and Renewal Strategy Based on Multi-Source Data Spatial Analysis: A Case Study in Haidian Sub-district in Beijing
  
DOI:10.12285/jzs.20240403001
中文关键词: 城市体检、城市更新、完整社区、户外活动、空间句法
英文关键词: Urban checkup, Urban renewal, Complete community, Outdoor activity, Space syntax
基金项目:
作者单位
盛强 李萌 张宇 于典 杨婧怡 王之轩 许泽阳  
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中文摘要:
      在城市更新中基于多源数据与空间分析模型有助于精准发现问题并解析其形成的机理,对保证更新措施的有效性和长效性均有重要意义。本研究以北京市海淀街道的城市体检工作为例,以绿色出行、完整社区和健康城市为目标,综合多源大数据与实地调研小数据对慢行交通、社区商业和公共空间三方面的问题进行诊断,并应用空间句法模型对问题背后的路权分配、社区商业需求、居民户外活动的自组织空间规律进行了分析,探索了一种以数据空间分析为基础的城市问题诊断-分析-优化的工作流程。
英文摘要:
      Based on multi-source data and spatial analysis models in urban renewal,it is helpful to accurately identify problems and analyze their formation mechanisms,which is of great significance for ensuring the long-term effectiveness of renewal strategies. This study takes the urban Checkup in Haidian sub-district in Beijing as an example,with the goals of promoting low carbon transportation,complete communities,and healthy cities. It integrates big data from multi-sources and small data from field research to diagnose problems in slow traffic,community commerce,and public space usages. The space syntax model is applied to analyze the distribution of road rights,community commercial needs,and self-organizing spatial patterns of outdoor activities of residents. This research established a workflow of ‘diagnosis-analysis-optimization’ based on data spatial analysis.
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