ArticleScientific data2022
A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Global patterns of urban heat shaped by climate and morphology.Nature communications · 2026Article
- Global gridded population datasets systematically underrepresent rural population.Nature communications · 2025Article
- Multiscale spatial heterogeneity of population aging in relation to its influential factors: a case study in the Shaanxi-Gansu region, China.Frontiers in public health · 2025Article
- Revealing urban area from mobile positioning data.Scientific reports · 2024Article
- Analyzing post-COVID-19 demographic and mobility changes in Andalusia using mobile phone data.Scientific reports · 2024Article
- Segregation and the pandemic: The dynamics of daytime social diversity during COVID-19 in Greater Stockholm.Applied geography (Sevenoaks, England) · 2023Article
- Urban Flood Risk Assessment Based on Dynamic Population Distribution and Fuzzy Comprehensive Evaluation.International journal of environmental research and public health · 2022Article
- Article
- A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland.Scientific data · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
In this article, we present temporally dynamic population distribution data from the Helsinki Metropolitan Area, Finland, at the level of 250 m by 250 m statistical grid cells. An hourly population distribution dataset is provided for regular workdays (Mon - Thu), Saturdays and Sundays. The data are based on aggregated mobile phone data collected by the biggest mobile network operator in Finland. Mobile phone data are assigned to statistical grid cells using an advanced dasymetric interpolation method based on ancillary data about land cover, buildings and a time use survey. The dataset is validated by comparing population register data from Statistics Finland for night hours and a daytime workplace registry. The resulting 24-hour population data can be used to reveal the temporal dynamics of the city, and examine population variations relevant to spatial accessibility analyses, crisis management, planning and beyond.
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Registered trials
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