JPI Urban Europe Integrated Data Visualisation and Decision Making Solutions to Forecast and Manage Complex Urban Challenges

JPI Urban Europe 集成数据可视化和决策解决方案，用于预测和管理复杂的城市挑战

• 批准号: ES/M010058/1
• 负责人: Jonathan Bright
• 金额: $ 28.76万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FM010058%2F1
• 关键词: JPI; Urban; Europe; Integrated; Data

Urban decision makers are nowadays faced with both unprecedented challenges as well as new opportunities as the environment around them grows ever more complex. Out of the readily available "sea of information", unfortunately, some sources potentially important to decision-making have so far remained largely untapped. The UrbanData2Decide project therefore aims to extract and process information from two rich sources, namely public social media and open data libraries. This information, combined with advice from expert panels, will support local governments towards a holistic, sustainable and well-founded decision-making process which takes into account the views and perspectives of all relevant stakeholders.

如今，城市决策者既面临着前所未有的挑战，也面临着新的机遇，因为他们周围的环境变得越来越复杂。不幸的是，在随处可得的“信息海洋”中，一些对决策具有潜在重要性的来源迄今基本上仍未被开发。因此，UrbanData2Decide项目旨在从两个丰富的来源提取和处理信息，即公共社交媒体和开放数据库。这些信息与专家小组的咨询意见相结合，将支持地方政府实现全面、可持续和有充分依据的决策进程，其中考虑到所有相关利益攸关方的意见和观点。

项目成果

Explaining download patterns in open government data: citizen participation or private enterprise

解释开放政府数据的下载模式：公民参与或私营企业

• DOI: 10.1504/ijeg.2019.101499
• 发表时间: 2019
• 期刊: International Journal of Electronic Governance
• 作者: Bright J

Explaining Download Patterns in Open Government Data: Citizen participation or private enterprise?

解释开放政府数据的下载模式：公民参与还是私营企业？

• DOI: 10.1504/ijeg.2019.10017089
• 发表时间: 2019
• 期刊: International Journal of Electronic Governance
• 作者: Margetts H

The lightweight smart city and biases in repurposed big data

• 发表时间: 2016-11
• 作者: C. Voigt;Jonathan Bright

Income and Population Dynamics in Deprived Neighbourhoods: Measuring the Poverty Turnover Rate Using Administrative Data

• DOI: 10.1007/s12061-017-9242-6
• 发表时间: 2019-06-01
• 期刊: APPLIED SPATIAL ANALYSIS AND POLICY
• 影响因子: 1.9
• 作者: Fransham, Mark

Geodemographic biases in crowdsourced knowledge websites: Do neighbours fill in the blanks?

• DOI: 10.1007/s10708-017-9778-7
• 发表时间: 2018-06-01
• 期刊: GEOJOURNAL
• 影响因子: 2.7
• 作者: Bright, Jonathan;De Sabbata, Stefano;Lee, Sumin
• 通讯作者: Lee, Sumin