Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining

The factors associated with severity of the bicycle crashes may differ across different bicycle crash patterns. Therefore, it is important to identify distinct bicycle crash patterns with homogeneous attributes. The current study aimed at identifying subgroups of bicycle crashes in Italy and analyzi...

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Detalles Bibliográficos
Autores principales: Prati, Gabriele, De Angelis, Marco, Marín Puchades, Víctor, Fraboni, Federico, Pietrantoni, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291444/
https://www.ncbi.nlm.nih.gov/pubmed/28158296
http://dx.doi.org/10.1371/journal.pone.0171484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291444/
https://www.ncbi.nlm.nih.gov/pubmed/28158296
http://dx.doi.org/10.1371/journal.pone.0171484

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