Mostrar el registro sencillo del ítem

dc.contributor.authorGarcía Herrero, Susana 
dc.contributor.authorFebres Eguiguren, Juan Diego
dc.contributor.authorBoulagouas, Wafa
dc.contributor.authorGutiérrez, José Manuel
dc.contributor.authorMariscal Saldaña, Miguel Ángel 
dc.date.accessioned2024-04-22T07:57:03Z
dc.date.available2024-04-22T07:57:03Z
dc.date.issued2021-06
dc.identifier.issn1660-4601
dc.identifier.urihttp://hdl.handle.net/10259/9011
dc.description.abstractMultitasking while driving negatively affects driving performance and threatens people’s lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver’s attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers’ infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers’ infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers’ infractions lead to serious injuries.en
dc.description.sponsorshipThis research was funded by the project “Modelización mediante técnicas de machine learning de la influencia de las distracciones del conductor en la seguridad vial”, grant number BU300P18, and was funded by FEDER (Fondo Europeo de Desarrollo Regional—Junta de Castilla y León).en
dc.language.isoenges
dc.publisherMDPIen
dc.relation.ispartofInternational Journal of Environmental Research and Public Health. 2021, V. 18, n. 13, 7155en
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectRoad traffics accidentsen
dc.subjectTechnology-based distractionsen
dc.subjectAberrant infractionsen
dc.subjectSpeed infractionsen
dc.subjectBayesian networken
dc.subjectTraffic accidents severityen
dc.subject.otherTecnologíaes
dc.subject.otherTechnologyen
dc.subject.otherTransporteses
dc.subject.otherTransportationen
dc.subject.otherSaludes
dc.subject.otherHealthen
dc.titleAssessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severityen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/ijerph18137155es
dc.identifier.doi10.3390/ijerph18137155
dc.identifier.essn1660-4601
dc.journal.titleInternational Journal of Environmental Research and Public Healthen
dc.volume.number18es
dc.issue.number13es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


Ficheros en este ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem