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Spatial and Temporal Characterization of Activity in Public Space, 2019–2020
The data reported here characterize spatial and temporal variation in the ratio of short-to-long-duration visits in public places (i.e., points of interest) in the United States for each week between January 2019 and December 2020. The underlying data on anonymized and aggregated foot traffic to pub...
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/PMC9255544/ https://www.ncbi.nlm.nih.gov/pubmed/35790727 http://dx.doi.org/10.1038/s41597-022-01480-6 |
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author | Brelsford, Christa Moehl, Jessica Weber, Eric Sparks, Kevin Tuccillo, Joseph V. Rose, Amy |
author_facet | Brelsford, Christa Moehl, Jessica Weber, Eric Sparks, Kevin Tuccillo, Joseph V. Rose, Amy |
author_sort | Brelsford, Christa |
collection | PubMed |
description | The data reported here characterize spatial and temporal variation in the ratio of short-to-long-duration visits in public places (i.e., points of interest) in the United States for each week between January 2019 and December 2020. The underlying data on anonymized and aggregated foot traffic to public places is curated by SafeGraph, a geospatial data provider. In this work, we report the estimated number and duration of “short” (i.e., <4 hours) and “long” (i.e., >4 hours) visits to public places at the US census block group level. Long visits are shown to be a good proxy for workers based on formal economic data. We propose that short visits are more likely to represent nonobligate activities: people visiting a public place for leisure, shopping, entertainment, or civic or cultural engagement. Our work constructs a ratio of short to long visits, which can be used to inform population estimates for nonworker use of public space. These data may be useful for understanding how people’s use of public space has changed during the COVID-19 pandemic and, more generally, for understanding activity patterns in public. |
format | Online Article Text |
id | pubmed-9255544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92555442022-07-06 Spatial and Temporal Characterization of Activity in Public Space, 2019–2020 Brelsford, Christa Moehl, Jessica Weber, Eric Sparks, Kevin Tuccillo, Joseph V. Rose, Amy Sci Data Data Descriptor The data reported here characterize spatial and temporal variation in the ratio of short-to-long-duration visits in public places (i.e., points of interest) in the United States for each week between January 2019 and December 2020. The underlying data on anonymized and aggregated foot traffic to public places is curated by SafeGraph, a geospatial data provider. In this work, we report the estimated number and duration of “short” (i.e., <4 hours) and “long” (i.e., >4 hours) visits to public places at the US census block group level. Long visits are shown to be a good proxy for workers based on formal economic data. We propose that short visits are more likely to represent nonobligate activities: people visiting a public place for leisure, shopping, entertainment, or civic or cultural engagement. Our work constructs a ratio of short to long visits, which can be used to inform population estimates for nonworker use of public space. These data may be useful for understanding how people’s use of public space has changed during the COVID-19 pandemic and, more generally, for understanding activity patterns in public. Nature Publishing Group UK 2022-07-05 /pmc/articles/PMC9255544/ /pubmed/35790727 http://dx.doi.org/10.1038/s41597-022-01480-6 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/) . |
spellingShingle | Data Descriptor Brelsford, Christa Moehl, Jessica Weber, Eric Sparks, Kevin Tuccillo, Joseph V. Rose, Amy Spatial and Temporal Characterization of Activity in Public Space, 2019–2020 |
title | Spatial and Temporal Characterization of Activity in Public Space, 2019–2020 |
title_full | Spatial and Temporal Characterization of Activity in Public Space, 2019–2020 |
title_fullStr | Spatial and Temporal Characterization of Activity in Public Space, 2019–2020 |
title_full_unstemmed | Spatial and Temporal Characterization of Activity in Public Space, 2019–2020 |
title_short | Spatial and Temporal Characterization of Activity in Public Space, 2019–2020 |
title_sort | spatial and temporal characterization of activity in public space, 2019–2020 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255544/ https://www.ncbi.nlm.nih.gov/pubmed/35790727 http://dx.doi.org/10.1038/s41597-022-01480-6 |
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