A global time series of traffic volumes on extra-urban roads.
Traffic on roads outside of urban areas (i.e. extra-urban roads) can have major ecological and environmental impacts on agricultural, forested, and natural areas. Yet, data on extra-urban traffic volumes is lacking in many regions. To address this data gap, we produced a global time-series of traffi...
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ftpubmed:38719888 2024-06-09T07:40:23+00:00 A global time series of traffic volumes on extra-urban roads. van Strien, Maarten J Grêt-Regamey, Adrienne 2024 May 08 https://doi.org/10.1038/s41597-024-03287-z https://pubmed.ncbi.nlm.nih.gov/38719888 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11078983/ eng eng Nature Publishing Group https://doi.org/10.1038/s41597-024-03287-z https://pubmed.ncbi.nlm.nih.gov/38719888 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11078983/ © 2024. The Author(s). Sci Data ISSN:2052-4463 Volume:11 Issue:1 Journal Article Dataset Research Support, Non-U.S. Gov't 2024 ftpubmed https://doi.org/10.1038/s41597-024-03287-z 2024-05-14T16:02:00Z Traffic on roads outside of urban areas (i.e. extra-urban roads) can have major ecological and environmental impacts on agricultural, forested, and natural areas. Yet, data on extra-urban traffic volumes is lacking in many regions. To address this data gap, we produced a global time-series of traffic volumes (Annual Average Daily Traffic; AADT) on all extra-urban highways, primary roads, and secondary roads for the years 1975, 1990, 2000 and 2015. We constructed time series of road networks from existing global datasets on roads, population density, and socio-economic indicators, and combined these with a large collection of empirical AADT data from all continents except Antarctica. We used quantile regression forests to predict the median and 5% and 95% prediction intervals of AADT on each road section. The validation accuracy of the model was high (pseudo-R2 = 0.7407) and AADT predictions from 1975 were also accurate. The resulting map series provides standardised and fine-scaled information on the development of extra-urban road traffic and has a wide variety of practical and scientific applications. Dataset Antarc* Antarctica PubMed Central (PMC) Scientific Data 11 1 |
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PubMed Central (PMC) |
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English |
description |
Traffic on roads outside of urban areas (i.e. extra-urban roads) can have major ecological and environmental impacts on agricultural, forested, and natural areas. Yet, data on extra-urban traffic volumes is lacking in many regions. To address this data gap, we produced a global time-series of traffic volumes (Annual Average Daily Traffic; AADT) on all extra-urban highways, primary roads, and secondary roads for the years 1975, 1990, 2000 and 2015. We constructed time series of road networks from existing global datasets on roads, population density, and socio-economic indicators, and combined these with a large collection of empirical AADT data from all continents except Antarctica. We used quantile regression forests to predict the median and 5% and 95% prediction intervals of AADT on each road section. The validation accuracy of the model was high (pseudo-R2 = 0.7407) and AADT predictions from 1975 were also accurate. The resulting map series provides standardised and fine-scaled information on the development of extra-urban road traffic and has a wide variety of practical and scientific applications. |
format |
Dataset |
author |
van Strien, Maarten J Grêt-Regamey, Adrienne |
spellingShingle |
van Strien, Maarten J Grêt-Regamey, Adrienne A global time series of traffic volumes on extra-urban roads. |
author_facet |
van Strien, Maarten J Grêt-Regamey, Adrienne |
author_sort |
van Strien, Maarten J |
title |
A global time series of traffic volumes on extra-urban roads. |
title_short |
A global time series of traffic volumes on extra-urban roads. |
title_full |
A global time series of traffic volumes on extra-urban roads. |
title_fullStr |
A global time series of traffic volumes on extra-urban roads. |
title_full_unstemmed |
A global time series of traffic volumes on extra-urban roads. |
title_sort |
global time series of traffic volumes on extra-urban roads. |
publisher |
Nature Publishing Group |
publishDate |
2024 |
url |
https://doi.org/10.1038/s41597-024-03287-z https://pubmed.ncbi.nlm.nih.gov/38719888 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11078983/ |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Sci Data ISSN:2052-4463 Volume:11 Issue:1 |
op_relation |
https://doi.org/10.1038/s41597-024-03287-z https://pubmed.ncbi.nlm.nih.gov/38719888 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11078983/ |
op_rights |
© 2024. The Author(s). |
op_doi |
https://doi.org/10.1038/s41597-024-03287-z |
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Scientific Data |
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11 |
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1 |
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1801383798129033216 |