Public sector case study

Nottingham University

Using Mobility Data to Support Government Policy Formulation

Huq’s data is real-time and that makes our outputs even stronger and more valuable

Find out how data from Track the Economy supports decision-making and policy formulation. Huq’s extensive population mobility data is used by the public sector to measure footfall across a range of consumer, business and industrial settings.

Using Mobility Data to Support Government Policy Formulation

The University of Nottingham’s economic and societal Data-driven Discovery Initiative provides movement data for local authorities through the Track the Economy (TE) project.

The TE project aggregates economic data from a variety of public and private sources to provide a unique picture of economic activity from the beginning of the Covid-19 crisis to the present day.

Decision-making and Policy Formulation

Data from Track the Economy supports decision-making and policy formulation. Huq’s extensive population mobility dataset is used by the public sector to measure footfall across a range of consumer, business and industrial settings.

Huq contributes population mobility data, comprised of 1bn+ mobility events daily. The data is used by retailers, investors and the public sector to measure footfall across a range of consumer, business and industrial settings. Its mobility insights product is already in use by local councils to support decision-making around the future of our cities, towns and high streets.

TE makes use of this granular-level data to rank local authorities by the severity of the economic impacts of Covid-19. Researchers at TE combine this index with pre-pandemic data measuring affluence at the local level to identify areas that have been doubly-hit by existing deprivation and negative Covid-19 impact.