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How Nottingham University & 3DI Use huq for Policy Formulation
How the University of Nottingham and 3DI used huq mobility data to support economic monitoring and government policy formulation.
The Challenge
The Track the Economy project needed timely, granular evidence of how Covid-19 affected economic activity across places. Researchers wanted to distinguish local impacts, combine them with pre-existing deprivation and give government decision-makers a clearer view of where support was most needed.
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Measure rapid change
Add real-time behavioural evidence to economic sources that could not show place activity quickly enough.
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Compare local impacts
Rank local authorities consistently by the severity of pandemic-era economic disruption.
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Support policy decisions
Help local and central government identify places affected by both existing deprivation and new economic shock.
The Solution
huq provided a live behavioural intelligence layer that unified movement trends, catchment visibility, and district benchmarking into a single platform.
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Movement Intelligence
Live visibility into visitor activity and engagement patterns.
Economic Development
The function or strategy focused on growing the local economy.
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Data Validation & Research
Validate mobility evidence and apply it in robust academic, commercial or policy research.
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Recovery Tracking
Monitor behavioural recovery and engagement trends over time.
The University of Nottingham and 3DI used huq mobility data to support economic monitoring and government policy formulation.
The University of Nottingham's Data-driven Discovery Initiative used huq population mobility data within the Track the Economy project. huq contributed more than one billion mobility events each day, covering footfall across consumer, business and industrial settings.
Case study highlights
- Real-time activity: Movement evidence strengthened a dashboard built from public and private economic sources.
- Granular place comparison: Researchers could compare impacts at local-authority level.
- Combined vulnerability analysis: Covid-19 impact was assessed alongside pre-pandemic affluence and deprivation.
- Policy-ready outputs: Local and central government gained a clearer picture of economic conditions across the country.
The mobility layer made the Track the Economy evidence more current and more useful for policy formulation.
Results & Operational Impact
With huq first clients achieve significantly stronger visibility into commercial demand, engagement growth, and estate performance.
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Faster leasing evaluations
Improved understanding of real-world commercial demand
Stronger investment confidence
Behavioural intelligence supported more evidence-led decisions
Improved district visibility
Teams benchmarked engagement across multiple locations
Better recovery tracking
Live movement signals replaced delayed reporting cycles
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How JD Sports Used Customer Catchments to Inform Outlet Expansion Strategies
huq's mobility location data enabled JD Sports to refine customer catchment analysis, optimise store network performance and make data-driven expansion decisions, reducing risk and enhancing strategic growth.
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Empowering strategic teams with the world's most accurate and accessible location intelligence.
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