2026-05-31T02:10:31Zhttps://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

00925njm 22002777a 4500 dc García Herrero, Susana author Febres Eguiguren, Juan Diego author Boulagouas, Wafa author Gutiérrez, José Manuel author Mariscal Saldaña, Miguel Ángel author 2021-06 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. 1660-4601 http://hdl.handle.net/10259/9011 10.3390/ijerph18137155 1660-4601 Road traffics accidents Technology-based distractions Aberrant infractions Speed infractions Bayesian network Traffic accidents severity Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity