Data of: 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 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 (...
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Online Access: | https://dx.doi.org/10.3929/ethz-b-000666313 http://hdl.handle.net/20.500.11850/666313 |
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ftdatacite:10.3929/ethz-b-000666313 2024-04-28T07:56:43+00:00 Data of: a global time series of traffic volumes on extra-urban roads ... van Strien, Maarten J. Grêt-Regamey, Adrienne 2024 application/zip text/plain application/x-shapefile application/vnd.openxmlformats-officedocument.spreadsheetml.sheet application/xml application/dbase 3.14 GB https://dx.doi.org/10.3929/ethz-b-000666313 http://hdl.handle.net/20.500.11850/666313 en eng ETH Zurich TRAFFIC ANALYSIS TRANSPORTATION AND TRAFFIC TRAFFIC FLOW TRANSPORTATION AND TRAFFIC article Collection Research Data 2024 ftdatacite https://doi.org/10.3929/ethz-b-000666313 2024-04-02T12:48:01Z Traffic on roads outside of urban areas (i.e. extra-urban roads) can have major ecological and environmental impacts on agricultural 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 ... : ArcGIS Pro 2.9.5, Python and R ... Article in Journal/Newspaper Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
TRAFFIC ANALYSIS TRANSPORTATION AND TRAFFIC TRAFFIC FLOW TRANSPORTATION AND TRAFFIC |
spellingShingle |
TRAFFIC ANALYSIS TRANSPORTATION AND TRAFFIC TRAFFIC FLOW TRANSPORTATION AND TRAFFIC van Strien, Maarten J. Grêt-Regamey, Adrienne Data of: a global time series of traffic volumes on extra-urban roads ... |
topic_facet |
TRAFFIC ANALYSIS TRANSPORTATION AND TRAFFIC TRAFFIC FLOW TRANSPORTATION AND TRAFFIC |
description |
Traffic on roads outside of urban areas (i.e. extra-urban roads) can have major ecological and environmental impacts on agricultural 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 ... : ArcGIS Pro 2.9.5, Python and R ... |
format |
Article in Journal/Newspaper |
author |
van Strien, Maarten J. Grêt-Regamey, Adrienne |
author_facet |
van Strien, Maarten J. Grêt-Regamey, Adrienne |
author_sort |
van Strien, Maarten J. |
title |
Data of: a global time series of traffic volumes on extra-urban roads ... |
title_short |
Data of: a global time series of traffic volumes on extra-urban roads ... |
title_full |
Data of: a global time series of traffic volumes on extra-urban roads ... |
title_fullStr |
Data of: a global time series of traffic volumes on extra-urban roads ... |
title_full_unstemmed |
Data of: a global time series of traffic volumes on extra-urban roads ... |
title_sort |
data of: a global time series of traffic volumes on extra-urban roads ... |
publisher |
ETH Zurich |
publishDate |
2024 |
url |
https://dx.doi.org/10.3929/ethz-b-000666313 http://hdl.handle.net/20.500.11850/666313 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_doi |
https://doi.org/10.3929/ethz-b-000666313 |
_version_ |
1797584553929342976 |