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

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dc.contributor.author Costa, M. pt_BR
dc.contributor.author Marques, M. pt_BR
dc.contributor.author Roque, C. A. pt_BR
dc.contributor.author Moura, F. pt_BR
dc.date.accessioned 2025-01-31T15:33:28Z pt_BR
dc.date.accessioned 2025-04-22T12:57:24Z
dc.date.available 2025-01-31T15:33:28Z pt_BR
dc.date.available 2025-04-22T12:57:24Z
dc.date.issued 2022-05 pt_BR
dc.identifier.uri http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018206
dc.description.abstract 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. pt_BR
dc.language.iso eng pt_BR
dc.publisher Springer Nature pt_BR
dc.rights restrictedAccess pt_BR
dc.title CYCLANDS: Cycling geo-located accidents, their details and severities pt_BR
dc.description.pages Article number: 237 pt_BR
dc.description.volume 9 pt_BR
dc.description.sector DT/NPTS pt_BR
dc.description.magazine scientific data pt_BR
dc.contributor.peer-reviewed SIM pt_BR
dc.contributor.academicresearchers SIM pt_BR
dc.contributor.arquivo NAO pt_BR


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