2026-05-04T22:54:35Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/90112024-05-17T09:44:37Zcom_10259_9006com_10259_5086com_10259_2604com_10259_5501col_10259_9007col_10259_5502

García Herrero, Susana 206 600 0000-0002-8061-9537 Febres Eguiguren, Juan Diego f57a4674-b01e-47ef-b73d-b7be39e007dd 600 Boulagouas, Wafa f57e33da-c7a7-4e04-a052-9b833166545c 600 Gutiérrez, José Manuel 25258ccf-3a5a-407e-9aac-a9858dd36549 600 Mariscal Saldaña, Miguel Ángel 337 600 0000-0002-7897-9891 2024-04-22T07:57:03Z 2024-04-22T07:57:03Z 2021-06 1660-4601 http://hdl.handle.net/10259/9011 10.3390/ijerph18137155 1660-4601 Multitasking 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. This 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). eng MDPI International Journal of Environmental Research and Public Health. 2021, V. 18, n. 13, 7155 https://doi.org/10.3390/ijerph18137155 Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Road traffics accidents Technology-based distractions Aberrant infractions Speed infractions Bayesian network Traffic accidents severity Tecnología Transportes Salud Technology Transportation Health Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion International Journal of Environmental Research and Public Health 18 13 THUMBNAIL Garcia-ijerph_2021.pdf.jpg Garcia-ijerph_2021.pdf.jpg IM Thumbnail image/jpeg 3559 https://riubu.ubu.es/bitstream/10259/9011/4/Garcia-ijerph_2021.pdf.jpg 4660b1595fdd1c878d21ee343e5450f6 MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/9011/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/9011/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL Garcia-ijerph_2021.pdf Garcia-ijerph_2021.pdf application/pdf 714610 https://riubu.ubu.es/bitstream/10259/9011/1/Garcia-ijerph_2021.pdf 3c91611a9f87de73db37716ca01ebadf MD5 1 10259/9011 oai:riubu.ubu.es:10259/9011 2024-05-17 11:44:37.027 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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