期刊文献+

数据如何驱动设计——以回龙观社区品质提升为例 被引量:7

Data Drives Design: Huilongguan Community Improvement
下载PDF
导出
摘要 当前,大数据和开放数据共同构成了城市规划的新数据环境,以"人迹地图"时空分析平台为代表的新数据平台的出现,为规划行业提供了开展城市研究和规划设计的新数据资源与分析工具。文章以"人迹地图"时空分析平台为基础,提出数据增强设计指南,结合回龙观地区功能优化规划研究,利用LBS定位数据、公交IC卡数据以及微博语义、POI等其他数据资源,从交通出行、职住通勤、就业结构、空间特征、设施品质、人群活力和情感语义等角度对回龙观地区的空间品质与活力进行量化剖析,并通过与望京的对比,分析回龙观在各个方面存在的不足,据此提出针对性的解决对策。 Nowadays, big data and open data together contribute to the new data environment for city planning. Data platform such as "human track map" provide new resources and analysis tools for planners. This paper introduces data enhanced design in functional optimization planning of Huilongguan district. With LBS positioning, bus IC, Weibo, POI and other data sources, this paper conducts a quantitative study on the spatial quality and vigor of Huilongguan district from transport mode, commuting, employment structure, spatial feature, environment quality, and vitality. Compared with Wangjing district, Huilongguan district has weakness and needs improvement.
出处 《规划师》 北大核心 2017年第2期81-89,共9页 Planners
关键词 功能品质 量化指标 数据增强设计指南 人迹地图 Function and quality Quantitative index Guidelines to data enhanced design Human track map
  • 相关文献

参考文献5

二级参考文献34

  • 1LONG Ying, WU Kang. Shrinking Localities in Booming Urbanization of China (2000 2010) [J]. Environment and Planning A (Accepted), 2015.
  • 2RIBA, ARUP. Designing with Data: Shaping Our Future Cities [R]. http://www. architecture.com/Files/R1BAHoldings/ PolicyAndlnternationalRelations/Policy/ Designingwithdata/Designingwithdatashapingour fu turecities.pdf, 2013.
  • 3Michael Batty. The New Science of Cities [M]. Cambridge: Mit Press, 2013.
  • 4SHEN Yao, Kayvan Karimi. Measuring Street- based Function Accessibility with Urban Network and Points of Interest: A Case Study of Shanghai [C]//2014 Annual Congress of the Association of European Schools of Planning (AESOP). Utrecht, Netherlands, 2014.
  • 5SHEN Yao, Kayvan Karimi. Understandingthe Roles of Urban Configuration on Spatial Heterogeneity and Submarket Regionalisation of House Price Pattern in a Mix-Scaled Hedonic Model: The Case of Shanghai, China [C]//10th Space Syntax Symposium. London, UCL, 2015.
  • 6LONG Ying, LIU Xingjian. Automated Identification and Characterization of Parcels (AICP) with Open Street Map and Points of Interest [J]. Environment and Planning B: Planning & Design, accepted, 2015.
  • 7LONG Ying, SHEN Yao. Mapping Parcel-level Urban Areas for a Large Geographical Area [R]. arXiv preprint arXiv: 1403.5864.2014a.
  • 8LONG Ying, WU Kang, MAO Qizhi. Simulating Urban Expansion in the Parcel Level for All Chinese Cities [R]. arXiv preprint arXiv:1402.3718, 2014.
  • 9LONG Ying, HAN Haoying. Evaluating the Effectiveness of Urban Growth Boundaries Using Human Mobility and Activity Records [EB/OL]. Beijing City Lab. Working Paper 56, 2015.
  • 10LONG Ying, SHEN Zhenjiang. Population Spatialization and Synthesis with Open Data [R]. arXiv preprint arXiv: 1409.0612, 2014b.

共引文献119

同被引文献134

引证文献7

二级引证文献56

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部