Urban Big Data Centre, and Huq, (2025) Huq packaged data by city and year 2019-2024. [Data Collection]
Collection description
Huq is a mobile phone app dataset. The app collects real-time, anonymised location data from users' smartphones, based on the use of a range of smart phone applications. This dataset offers researchers insights into human mobility patterns and behaviour.
Huq's event-level geo-data offers a rich and descriptive record of how consumers move and interact with the places around them. Huq's footfall data can be combined with other data sources to build predictions relating to how public entities are likely to report, specifically, where it concerns footfall correlated with revenue. The data can be used to observe how consumers interact with traded or private physical assets in order to observe changes in consumer trends and consider how those may affect their investment positions.
Researchers can leverage this data to study consumer trends, urban planning, and the impact of events on people's movements, amongst other applications. With a coverage of around 0.7% of the population and granular location information, Huq data offers the potential to understand changing societal dynamics and make data-driven decisions across various fields, from retail and transportation to public health and urban development.
The data has a geographic coverage across Glasgow City Region.
OD Matrices data
UBDC researchers also created a derived dataset, based on Huq data, Glasgow Origin-Destination (OD) Matrices. You can find more information in the dedicated Glasgow Origin-Destination (OD) Matrices page.
Access and Restrictions
Huq data is currently available internally for Urban Big Data Centre Staff only. Derived Datasets based on Huq data, such as Mobility Metrics for Glasgow City Region, are available to request as safeguarded data under an End User Licence Agreement. For more information please refer to the OD matrices page.
Funding: |
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College / School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
Date Deposited: | 27 Mar 2025 10:10 |
Related resources: | |
URI: | https://researchdata.gla.ac.uk/id/eprint/1911 |
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