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A suite of global accessibility indicators
Good access to resources and opportunities is essential for sustainable development. Improving access, especially in rural areas, requires useful measures of current access to the locations where these resources and opportunities are found. Recent work has developed a global map of travel times to c...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838165/ https://www.ncbi.nlm.nih.gov/pubmed/31700070 http://dx.doi.org/10.1038/s41597-019-0265-5 |
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author | Nelson, Andy Weiss, Daniel J. van Etten, Jacob Cattaneo, Andrea McMenomy, Theresa S. Koo, Jawoo |
author_facet | Nelson, Andy Weiss, Daniel J. van Etten, Jacob Cattaneo, Andrea McMenomy, Theresa S. Koo, Jawoo |
author_sort | Nelson, Andy |
collection | PubMed |
description | Good access to resources and opportunities is essential for sustainable development. Improving access, especially in rural areas, requires useful measures of current access to the locations where these resources and opportunities are found. Recent work has developed a global map of travel times to cities with more than 50,000 people in the year 2015. However, the provision of resources and opportunities will differ across the broad spectrum of settlements that range from small towns to megacities, and access to this spectrum of settlement sizes should also be measured. Here we present a suite of nine global travel-time accessibility indicators for the year 2015, at approximately one-kilometre spatial resolution, for a range of settlement size classes. We validated the travel-time estimates against journey times from a Google driving directions application across 1,511 2° × 2° tiles representing 47,812 journeys. We observed very good agreement, though our estimates were more frequently shorter than those from the Google application with a median difference of −13.7 minutes and a median percentage difference of −16.9%. |
format | Online Article Text |
id | pubmed-6838165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68381652019-11-14 A suite of global accessibility indicators Nelson, Andy Weiss, Daniel J. van Etten, Jacob Cattaneo, Andrea McMenomy, Theresa S. Koo, Jawoo Sci Data Data Descriptor Good access to resources and opportunities is essential for sustainable development. Improving access, especially in rural areas, requires useful measures of current access to the locations where these resources and opportunities are found. Recent work has developed a global map of travel times to cities with more than 50,000 people in the year 2015. However, the provision of resources and opportunities will differ across the broad spectrum of settlements that range from small towns to megacities, and access to this spectrum of settlement sizes should also be measured. Here we present a suite of nine global travel-time accessibility indicators for the year 2015, at approximately one-kilometre spatial resolution, for a range of settlement size classes. We validated the travel-time estimates against journey times from a Google driving directions application across 1,511 2° × 2° tiles representing 47,812 journeys. We observed very good agreement, though our estimates were more frequently shorter than those from the Google application with a median difference of −13.7 minutes and a median percentage difference of −16.9%. Nature Publishing Group UK 2019-11-07 /pmc/articles/PMC6838165/ /pubmed/31700070 http://dx.doi.org/10.1038/s41597-019-0265-5 Text en © The Author(s) 2019 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 Nelson, Andy Weiss, Daniel J. van Etten, Jacob Cattaneo, Andrea McMenomy, Theresa S. Koo, Jawoo A suite of global accessibility indicators |
title | A suite of global accessibility indicators |
title_full | A suite of global accessibility indicators |
title_fullStr | A suite of global accessibility indicators |
title_full_unstemmed | A suite of global accessibility indicators |
title_short | A suite of global accessibility indicators |
title_sort | suite of global accessibility indicators |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838165/ https://www.ncbi.nlm.nih.gov/pubmed/31700070 http://dx.doi.org/10.1038/s41597-019-0265-5 |
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