Research methods
UBDC is committed to openness and transparency in our work, sharing and explaining our methodologies. We are also helping to develop better methods for collecting and analysing smart data.
Urban sensing
Sensing technologies and advanced analytical methodologies enable us to collect and process higher quality smart datasets to better inform urban policies.
Sensing stories
Urban remote sensing
Remotely sensed images and the corresponding analytical techniques offer a comprehensive approach to observing and monitoring urban environments in real-time through high spatial-temporal-spectral-resolution data.
%201.svg){kind=icon}
Sensor-enhanced housing surveys
This project seeks to develop a framework for using and collecting data from a range of home-based sensors to understand human health and fuel poverty.
New geographies of language in multilingual cities
The management of interethnic relations is a prominent issue faced by contemporary cities.
Building housing energy efficiency models from local sensing
Decarbonising domestic heating is a central challenge for the sustainability agenda - requiring fundamental changes in home heating systems and major upgrades in the thermal performance of the existing building stock to reduce energy consumption.
%201.svg){kind=icon}
Participatory analytics
With our global partners - academics, local and national governments, disaster risk resilience organisations, and grassroot communities - we are committed to participatory approaches in our research to address social inequalities and deliver equitable and sustainable outcomes.
Open-access public transport timetable archive for Great Britain
Two new open access datasets expand UBDC's public transport timetable archive for Great Britain
New high-resolution traffic flow dataset from UBDC
New UBDC paper introduces a long-term traffic flow dataset for a concise urban area combined with detailed space and time data
Adzuna insights - how the world of work is evolving
The Adzuna dataset offers a rare opportunity for researchers to explore trends in the UK labour market through a large-scale, high-frequency dataset providing detailed insights into how the world of work is evolving.
Jointly funded by
%20copy.png){kind=logo}
.png){kind=logo}
