Urban Big Data Centre
Urban Big Data Centre
批准号:
ES/S007105/1
负责人:
Nick Bailey
金额:
$227.6万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
未结题
起止时间:
2019 至 --
中文摘要
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英文摘要
The Urban Big Data Centre aims to promote innovative research methods and the use of big data to improve social, economic and environmental well-being in cities. Traditionally, quantitative urban analysis relied on data designed for research purposes: Census and social surveys, in particular. Their qualities are well understood and the skills needed for extracting knowledge from them widely shared by social researchers. With the arrival of the digital age, we produce an ever increasing volume of data as we go about our daily lives from physical sensors, business and public administrative systems, or social media platforms, for example. These data have the potential to provide valuable insights into urban life but there are many more challenges in extracting useful knowledge from them. Some are technical, arising from the volume and variety of data, and its less structured nature. Some are legal and ethical, concerning data ownership rights and individual privacy rights. Above all, there are important social science issues in the use of big data. We need to shape the questions we ask of these data with an informed perspective on urban problems and contexts, and not have data drive the research. There is a need to ask questions about the data themselves and how they affect the resulting representations of urban life. And there is a need to examine the ways in which these data are taken up by policy makers and used in decision making. UBDC is a research centre which brings together an outstanding multi-disciplinary team to address these complex and varied challenges. We are a unique combination of four capacities: social scientists with expertise from a range of disciplinary backgrounds relevant to urban studies; data scientists with expertise in programming, data management, information retrieval and spatial information systems, as well as in legal issues around big data use; a data infrastructure comprising a substantial data collection and secure data management and analysis systems; and an academic group with strong connections to policy, industry and civil society organisations developed over the course of phase one and wider work. In the second phase, our objectives are to maximise the social and economic benefits of activities from phase one. We will do this in particular through partnerships with industrial and government stakeholders, working together to produce analyses which meet their needs as well as having wider application. We will continue to publish world-leading scientific papers across a range of disciplines. We will work to enhance data collections and develop new methods of analysis. We will conduct research to understand the quality of these new data, how well they represent or misrepresent particular aspects of life, and how they are and could be used by policy makers in practice. Lastly, we will build capacity for researchers and others to work with this kind of data in future. Our work programme comprises four thematic work packages. One focuses on understanding the sustainability, equity and efficiency of urban transport systems and on evaluating the impacts on these of infrastructure investments. There is a particular focus on public transport accessibility as well as active travel and hence health outcomes. The second examines the changing residential structure of cities or patterns of spatial segregation, and their consequences for social equity, with a particular focus on the re-growth of private renting. The third studies how urban systems shape skills development and productivity and, in particular, how the combination of home and school environments combine to shape secondary educational attainment. The fourth explores how big data are being taken up by policy makers. It asks what the barriers are to more effective use of these data but also whether they distort the picture of needs which a public body may form.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
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DOI:
10.1016/j.envsoft.2023.105802
发表时间:
2023-10
期刊:
Environ. Model. Softw.
影响因子:
--
作者:
[Patrycja Antosz;Daniel Birks;B. Edmonds;A. Heppenstall;R. Meyer;J. Gareth Polhill;D. O'Sullivan;Nanda Wijermans]
通讯作者:
Patrycja Antosz;Daniel Birks;B. Edmonds;A. Heppenstall;R. Meyer;J. Gareth Polhill;D. O'Sullivan;Nanda Wijermans
The welfare consequences of the suburbanisation of poverty in UK cities: air pollution and school quality
英国城市贫困郊区化的福利后果:空气污染和学校质量
DOI:
10.2478/udi-2019-0003
发表时间:
2019
期刊:
Urban Development Issues
影响因子:
--
作者:
[Bailey N]
通讯作者:
Bailey N
Great Britain transport, housing, and employment access datasets for small-area urban area analytics.
英国交通、住房和就业准入数据集,用于小区域城市区域分析。
DOI:
10.1016/j.dib.2019.104616
发表时间:
2019
期刊:
Data in brief
影响因子:
1.2
作者:
[Anejionu OCD]
通讯作者:
Anejionu OCD
Modeling agent decision and behavior in the light of data science and artificial intelligence
根据数据科学和人工智能对代理决策和行为进行建模
DOI:
10.1016/j.envsoft.2023.105713
发表时间:
2023
期刊:
Environmental Modelling & Software
影响因子:
4.9
作者:
[An L]
通讯作者:
An L
DOI:
10.1016/j.future.2019.03.052
发表时间:
2019-09-01
期刊:
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
影响因子:
7.5
作者:
[Anejionu, Obinna C. D., Thakuriah, Piyushimita (Vonu), Walpole, Rod]
通讯作者:
Walpole, Rod
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Assessing the impact of benefit sanctions on health
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项目类别:Research Grant
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依托单位:
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负责人:Nick Bailey
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依托单位:
国内基金
海外基金
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