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Overture Point of Interest data for the United Kingdom

A comprehensive, queryable open data product, validated against Geolytix supermarket data

Bibliographic Data

ID21247643
AuthorsPeri Ballantyne (0000-0001-8980-2912, University of Liverpool, corresponding author), Cillian Berragan (0000-0003-2198-2245, Clinical Practice Research Datalink)
Year2024
Volume51
Issue8
Pages1974-1980
Publication date2024-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23998083241263124
OpenAlexW4400922089
LanguageEN
Citations received2
References cited17

Point of Interest data that is globally available, open access and of good quality is sparse, despite being important inputs for research in a number of application areas. New data from the Overture Maps Foundation offers significant potential in this arena, but accessing the data relies on computational resources beyond the skillset and capacity of the average researcher. In this article, we provide a processed version of the Overture places (POI) dataset for the UK, in a fully queryable format, and provide accompanying code through which to explore the data, and generate other national subsets. In the article, we describe the construction and characteristics of this new open data product, before evaluating its quality in relation to ISO standards, through direct comparison with Geolytix supermarket data. This dataset can support new and important research projects in a variety of different thematic areas, and foster a network of researchers to further evaluate its advantages and limitations, through validation against other well-established datasets from domains external to retail

Business · Data science · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis · Mathematics

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2
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