ArticleInternational journal of environmental research and public health2021
Assessment of the Influence of Technology-Based Distracted Driving on Drivers' Infractions and Their Subsequent Impact on Traffic Accidents Severity.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Modeling of injury severity of distracted driving accident using statistical and machine learning models.PloS one · 2025Article
- An Empirical Study on the Effect of Blended Scents in Driving Environments From a Neuro-Cognitive Perspective.Brain and behavior · 2024Article
- Effects of mobile phone-related distraction on driving performance at roundabouts: Eye movements tracking perspective.Heliyon · 2024Article
- Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object.Heliyon · 2024Article
- Article
- Effects of Distracting Behaviors on Driving Workload and Driving Performance in a City Scenario.International journal of environmental research and public health · 2022Article
- Assessment and Discussion of Correlation Among Psychological Symptoms, Occupational Strain, and Neurotic Personality for Metro Drive.Frontiers in psychology · 2022Article
- Effects of Mobile Phone Use on Driving Performance: An Experimental Study of Workload and Traffic Violations.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.