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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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/672169 2024-06-23T07:47:55+00:00 A global time series of traffic volumes on extra-urban roads van Strien, Maarten J. id_orcid:0 000-0002-4311-0926 Grêt-Regamey, Adrienne id_orcid:0 000-0001-8156-9503 2024 application/application/pdf https://hdl.handle.net/20.500.11850/672169 https://doi.org/10.3929/ethz-b-000672169 en eng Nature info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-024-03287-z info:eu-repo/semantics/altIdentifier/wos/001233906600002 info:eu-repo/grantAgreement/SNF/Projekte MINT/192018 http://hdl.handle.net/20.500.11850/672169 doi:10.3929/ethz-b-000672169 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International Scientific Data, 11 (1) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2024 ftethz https://doi.org/20.500.11850/67216910.3929/ethz-b-00067216910.1038/s41597-024-03287-z 2024-06-12T15:48:38Z 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. ISSN:2052-4463 Article in Journal/Newspaper Antarc* Antarctica ETH Zürich Research Collection |
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Open Polar |
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ETH Zürich Research Collection |
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ftethz |
language |
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. ISSN:2052-4463 |
format |
Article in Journal/Newspaper |
author |
van Strien, Maarten J. id_orcid:0 000-0002-4311-0926 Grêt-Regamey, Adrienne id_orcid:0 000-0001-8156-9503 |
spellingShingle |
van Strien, Maarten J. id_orcid:0 000-0002-4311-0926 Grêt-Regamey, Adrienne id_orcid:0 000-0001-8156-9503 A global time series of traffic volumes on extra-urban roads |
author_facet |
van Strien, Maarten J. id_orcid:0 000-0002-4311-0926 Grêt-Regamey, Adrienne id_orcid:0 000-0001-8156-9503 |
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 |
publishDate |
2024 |
url |
https://hdl.handle.net/20.500.11850/672169 https://doi.org/10.3929/ethz-b-000672169 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Scientific Data, 11 (1) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-024-03287-z info:eu-repo/semantics/altIdentifier/wos/001233906600002 info:eu-repo/grantAgreement/SNF/Projekte MINT/192018 http://hdl.handle.net/20.500.11850/672169 doi:10.3929/ethz-b-000672169 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International |
op_doi |
https://doi.org/20.500.11850/67216910.3929/ethz-b-00067216910.1038/s41597-024-03287-z |
_version_ |
1802638194399772672 |