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.
Original language | English |
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Article number | 39 |
Number of pages | 19 |
Journal | Scientific Data |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - 4 Feb 2022 |
MoE publication type | A1 Journal article-refereed |
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A 24-hour dynamic population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland
Bergroth, C. (Creator), Järv, O. (Creator), Tenkanen, H. (Creator), Manninen, M. (Creator) & Toivonen, T. (Creator), Zenodo, 29 Apr 2021
DOI: 10.5281/zenodo.4724388, https://zenodo.org/api/records/6106064
Dataset
Press/Media
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Open spatial data reveals 24-hour population dynamics of people in Helsinki Metropolitan Area
04/02/2022
1 item of Media coverage
Press/Media: Media appearance