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A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816898/ https://www.ncbi.nlm.nih.gov/pubmed/35121755 http://dx.doi.org/10.1038/s41597-021-01113-4 |
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author | Bergroth, Claudia Järv, Olle Tenkanen, Henrikki Manninen, Matti Toivonen, Tuuli |
author_facet | Bergroth, Claudia Järv, Olle Tenkanen, Henrikki Manninen, Matti Toivonen, Tuuli |
author_sort | Bergroth, Claudia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8816898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88168982022-02-16 A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland Bergroth, Claudia Järv, Olle Tenkanen, Henrikki Manninen, Matti Toivonen, Tuuli Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-02-04 /pmc/articles/PMC8816898/ /pubmed/35121755 http://dx.doi.org/10.1038/s41597-021-01113-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Bergroth, Claudia Järv, Olle Tenkanen, Henrikki Manninen, Matti Toivonen, Tuuli A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland |
title | A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland |
title_full | A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland |
title_fullStr | A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland |
title_full_unstemmed | A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland |
title_short | A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland |
title_sort | 24-hour population distribution dataset based on mobile phone data from helsinki metropolitan area, finland |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816898/ https://www.ncbi.nlm.nih.gov/pubmed/35121755 http://dx.doi.org/10.1038/s41597-021-01113-4 |
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