CYCLANDS: Cycling geo-located accidents, their details and severities

Several cities and national authorities across the globe publish records on road accidents and crashes. This data is vital for road safety analysis, enabling researchers to develop models to understand how different factors impact the frequency and severity of accidents. However, researchers studyin...

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Autores principales: Costa, Miguel, Marques, Manuel, Roque, Carlos, Moura, Filipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135750/
https://www.ncbi.nlm.nih.gov/pubmed/35618756
http://dx.doi.org/10.1038/s41597-022-01333-2
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author Costa, Miguel
Marques, Manuel
Roque, Carlos
Moura, Filipe
author_facet Costa, Miguel
Marques, Manuel
Roque, Carlos
Moura, Filipe
author_sort Costa, Miguel
collection PubMed
description Several cities and national authorities across the globe publish records on road accidents and crashes. This data is vital for road safety analysis, enabling researchers to develop models to understand how different factors impact the frequency and severity of accidents. However, researchers studying cycling safety face additional challenges as datasets containing solely cycling accidents are scarce, may contain errors, among others. Thus, we publish CYCLANDS: CYCling geo-Located AccideNts, their Details and Severities. CYCLANDS is a curated collection of 30 datasets on cycling crashes to lower the barrier in objective cycling research comprising nearly 1.6 M cycling accidents. All observations include the severity and location of the accident. This collection fosters the worldwide study of cycling safety by providing a testbed for researchers to develop tools and models for cycling safety analysis, ultimately improving the safety of those who cycle.
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spelling pubmed-91357502022-05-28 CYCLANDS: Cycling geo-located accidents, their details and severities Costa, Miguel Marques, Manuel Roque, Carlos Moura, Filipe Sci Data Data Descriptor Several cities and national authorities across the globe publish records on road accidents and crashes. This data is vital for road safety analysis, enabling researchers to develop models to understand how different factors impact the frequency and severity of accidents. However, researchers studying cycling safety face additional challenges as datasets containing solely cycling accidents are scarce, may contain errors, among others. Thus, we publish CYCLANDS: CYCling geo-Located AccideNts, their Details and Severities. CYCLANDS is a curated collection of 30 datasets on cycling crashes to lower the barrier in objective cycling research comprising nearly 1.6 M cycling accidents. All observations include the severity and location of the accident. This collection fosters the worldwide study of cycling safety by providing a testbed for researchers to develop tools and models for cycling safety analysis, ultimately improving the safety of those who cycle. Nature Publishing Group UK 2022-05-26 /pmc/articles/PMC9135750/ /pubmed/35618756 http://dx.doi.org/10.1038/s41597-022-01333-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Costa, Miguel
Marques, Manuel
Roque, Carlos
Moura, Filipe
CYCLANDS: Cycling geo-located accidents, their details and severities
title CYCLANDS: Cycling geo-located accidents, their details and severities
title_full CYCLANDS: Cycling geo-located accidents, their details and severities
title_fullStr CYCLANDS: Cycling geo-located accidents, their details and severities
title_full_unstemmed CYCLANDS: Cycling geo-located accidents, their details and severities
title_short CYCLANDS: Cycling geo-located accidents, their details and severities
title_sort cyclands: cycling geo-located accidents, their details and severities
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135750/
https://www.ncbi.nlm.nih.gov/pubmed/35618756
http://dx.doi.org/10.1038/s41597-022-01333-2
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AT mourafilipe cyclandscyclinggeolocatedaccidentstheirdetailsandseverities

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