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A fine resolution dataset of accessibility under different traffic conditions in European cities
Urban accessibility and congestion indicators allow us to benchmark cities. If these indicators are also available at a fine resolution, we can compare different neighbourhoods within a city. We present a dataset of different accessibility indicators for all urban areas with more than 250 thousand p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447804/ https://www.ncbi.nlm.nih.gov/pubmed/32843662 http://dx.doi.org/10.1038/s41597-020-00619-7 |
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author | Christodoulou, Aris Dijkstra, Lewis Christidis, Panayotis Bolsi, Paolo Poelman, Hugo |
author_facet | Christodoulou, Aris Dijkstra, Lewis Christidis, Panayotis Bolsi, Paolo Poelman, Hugo |
author_sort | Christodoulou, Aris |
collection | PubMed |
description | Urban accessibility and congestion indicators allow us to benchmark cities. If these indicators are also available at a fine resolution, we can compare different neighbourhoods within a city. We present a dataset of different accessibility indicators for all urban areas with more than 250 thousand people in the EU27, the UK, Switzerland and Norway. Each city is analysed by means of a population grid of 500 m by 500 m and represented by a wider area covering both the densely populated urban centre and the commuting zone. To capture congestion, we measure accessibility for each grid cell at different times of the day that correspond to different traffic conditions using the detailed network and congestion information provided by TomTom. |
format | Online Article Text |
id | pubmed-7447804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74478042020-09-02 A fine resolution dataset of accessibility under different traffic conditions in European cities Christodoulou, Aris Dijkstra, Lewis Christidis, Panayotis Bolsi, Paolo Poelman, Hugo Sci Data Data Descriptor Urban accessibility and congestion indicators allow us to benchmark cities. If these indicators are also available at a fine resolution, we can compare different neighbourhoods within a city. We present a dataset of different accessibility indicators for all urban areas with more than 250 thousand people in the EU27, the UK, Switzerland and Norway. Each city is analysed by means of a population grid of 500 m by 500 m and represented by a wider area covering both the densely populated urban centre and the commuting zone. To capture congestion, we measure accessibility for each grid cell at different times of the day that correspond to different traffic conditions using the detailed network and congestion information provided by TomTom. Nature Publishing Group UK 2020-08-25 /pmc/articles/PMC7447804/ /pubmed/32843662 http://dx.doi.org/10.1038/s41597-020-00619-7 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Christodoulou, Aris Dijkstra, Lewis Christidis, Panayotis Bolsi, Paolo Poelman, Hugo A fine resolution dataset of accessibility under different traffic conditions in European cities |
title | A fine resolution dataset of accessibility under different traffic conditions in European cities |
title_full | A fine resolution dataset of accessibility under different traffic conditions in European cities |
title_fullStr | A fine resolution dataset of accessibility under different traffic conditions in European cities |
title_full_unstemmed | A fine resolution dataset of accessibility under different traffic conditions in European cities |
title_short | A fine resolution dataset of accessibility under different traffic conditions in European cities |
title_sort | fine resolution dataset of accessibility under different traffic conditions in european cities |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447804/ https://www.ncbi.nlm.nih.gov/pubmed/32843662 http://dx.doi.org/10.1038/s41597-020-00619-7 |
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