Active Engineering Society, Politics & Law

Urban Big Data Centre

In plain English

AI plain-English summary

A city’s transport, housing, and schools generate a constant stream of digital data—from bus tap-ins, rental listings, and exam results—that researchers are now learning to read for hidden patterns of inequality. The Urban Big Data Centre (UBDC) addresses a core problem: traditional surveys and censuses are too slow and coarse to capture how cities actually work, while the flood of real-time data from sensors, administrative systems, and social media is messy, legally tangled, and easy to misinterpret. UBDC brings together social scientists, data scientists, and policy experts to turn that raw data into reliable insights. If successful, the centre will help city planners and government agencies make smarter decisions about public transport routes, affordable housing, and school catchment areas—without letting the data itself distort what they see. One work package, for example, examines whether the rise of private renting is deepening spatial segregation; another asks whether big data leads policymakers to overlook the needs of people who leave no digital trace. The research is applied by design, built through direct partnerships with industry and government stakeholders.

View original technical description
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.

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Researchers

Annette Hastings (Co-Investigator)Brian Livingston (Co-Investigator)Catherine Lido (Co-Investigator)David McArthur (Co-Investigator)Jing Yao (Co-Investigator)Jinhyun Hong (Co-Investigator)Keith Kintrea (Co-Investigator)Konstantinos Ampountolas (Co-Investigator)Mark Tranmer (Co-Investigator)Michael Osborne (Co-Investigator)Nick Bailey (Principal Investigator)Philip Mason (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Urban Big Data
Smart Data Analytics for Business and Local Government
EPSRC Centre for Doctoral Training in Urban Science and Progress
Big, Open Data: Mining and Synthesis (BODMAS)
Modelling the city from the kitchen to the national grid: multi-scale Internet of Things (IoT) monitoring

Original classification

Research Grant

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