《Development of a flow-based planning support system based on open data for the City of Atlanta》
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- 作者
- 来源
- ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE,Vol.46,Issue2,P.207-224
- 语言
- 英文
- 关键字
- Open data; planning support system; flow-based; web application; GOOGLE STREET VIEW; LAND-COVER CHANGE; DATA-COLLECTION; WALK SCORE(R); VALIDATION; AUDIT
- 作者单位
- [Zhang, Ge; Zhang, Wenwen; Guhathakurta, Subhrajit] Georgia Inst Technol, 760 Spring St NW,Suite 217, Atlanta, GA 30308 USA. [Botchwey, Nisha] Georgia Inst Technol, City & Reg Planning, Atlanta, GA USA. Zhang, G (reprint author), Georgia Inst Technol, 760 Spring St NW,Suite 217, Atlanta, GA 30308 USA. E-Mail: ge.zhang@coa.gatech.edu
- 标签
- 城市规划,智慧城市 | 美国
- 摘要
- Open data have come of age with many cities, states, and other jurisdictions joining the open data movement by offering relevant information about their communities for free and easy access to the public. Despite the growing volume of open data, their use has been limited in planning scholarship and practice. The bottleneck is often the format in which the data are available and the organization of such data, which may be difficult to incorporate in existing analytical tools. The overall goal of this research is to develop an open data-based community planning support system that can collect related open data, analyze the data for specific objectives, and visualize the results to improve usability. To accomplish this goal, this study undertakes three research tasks. First, it describes the current state of open data analysis efforts in the community planning field. Second, it examines the challenges analysts experience when using open data in planning analysis. Third, it develops a new flow-based planning support system for examining neighborhood quality of life and health for the City of Atlanta as a prototype, which addresses many of these open data challenges. 开放数据的时代已经到来,许多城市、州和其他司法管辖区都加入了开放数据的运动,通过向公众提供有关其社区的相关信息,使公众能够免费、方便地获取这些信息。尽管开放数据的数据量在不断增长,但它们在规划理论和实践方面的应用却受到了限制。这种瓶颈通常在于现有数据的格式和这些数据的组织方式有可能很难融入已有的分析工具中。此项研究的总体目标是要开发一个基于开放数据的社区规划支持系统,该系统可以收集相关的开放数据,针对特定的目标进行数据分析,并实现结果的可视化,以提高其应用性。为了实现这一目标,本研究承担了三项研究任务。首先,我们描述了社区规划领域中开放数据分析工作的现状。其次,我们考察了在规划分析中使用开放数据时,分析人员所面临的挑战。第三,我们开发了一个新的基于流程的规划支持系统,并将亚特兰大市的社区生活质量和健康作为原型来进行考查,以应对开放数据所面临的各种挑战。