View and interact with data through our visualisations, applications and platforms.

Glasgow in Motion

View and interact with data through time, to better understand movement and other factors that affect Glasgow residents every day.

By 2030, over 90% of the UK population will live in urban areas. It’s more important than ever to understand how we live, work, and travel in our cities. Imagine you could know the most popular cycling route to work, the quality of air on your journey, or how pedestrians respond to weather. Through Glasgow in Motion, you can!

Glasgow in Motion uses a combination of open data sources and anonymised data held by the Urban Big Data Centre. For detailed information about the data sources see the Credits in the Glasgow in Motion application.

Spatial Urban Data System

View our transportation availability prototype to analyse people’s access to transport in UK cities.

It is difficult to understand urban issues, challenges and opportunities by looking in isolation at cities' individual characteristics. A much richer perspective can be obtained by approaching cities as a whole, considering the interactions and relationships between their many facets. Social, economic, natural, built-environment and other physical infrastructure aspects interplay within cities to inform behaviours and challenge our assumptions about how things should be.

UBDC is developing a geographic database called the Spatial Urban Data System that contains spatially and temporally indexed real and synthetic small scale data capable of telling the complex, multi-dimensional stories of how cities work through scalable, intuitive and interactive interfaces.

In our first prototype release, we present a simple spatial interface that enables users to query UBDC's public transportation availability data, enabling high resolution (census output areas) transport availability analytics across the United Kingdom. The platform provides intuitive means for users to spatially query transport availability factors and indicators that will enable greater understanding of transport availability dynamics at varying spatial scales.