Factors associated with travel speeds of young novice drivers: A systematic review

Young drivers are over-represented in crashes involving excess speed, with driving inexperience a known contributing factor, but not always accounted for in research investigations. This project aimed to systematically review literature on factors contributing to young novice drivers’ travel speeds. Two authors searched four databases: Embase, Scopus, transportation research information database and web of science. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed to select speed-related studies of drivers who were both young (aged 15-24 years) and novices (newly-licensed). Included studies examined factors directly or indirectly associated with travel speed in the “everyday” driving of passenger car-type vehicles, published in English in years 2012-2022. Of 2680 records, removing duplicates and screening resulted in 106 eligible studies, from which 26 were selected, and rated mostly of strong or moderate quality. Factors associated with driving too fast included factors relating to the individual young driver: lower global cognitive functioning, higher impulsivity and risk propensity, alcohol use, and perceptions of police speed enforcement methods as unjust. Additional social factors were having risky friends (generally), driving with passengers (adults or peers), driver-passenger mood, and some phone use. Driving environment factors were inner urban and highway settings, rural roads close-to-home and clear weather. Lower speeds were associated with hazard perception training, a parent-directed intervention when first driving independently and (weakly) viewing medical dramas. Searching roadside signs, texting, and being sleep deprived were also associated with lower speeds, but in ways that increased crash risk. The results provide insights to strengthen or develop new education programs, graduated licensing systems, and other interventions to assist young novice drivers develop and maintain safer speed management skills. Further research also is needed into the effectiveness of more general speeding countermeasures, such as speed management vehicle technologies and infrastructure treatments, specifically with young novice drivers. • Systematic review of recent speed studies with young and newly-licensed drivers. • Individual and situational factors are identified that increase or reduce speeds. • Implications for education, training and licensing initiatives are discussed.

Authors

Institutions

Publication Details

Journal
Journal of Traffic and Transportation Engineering (English Edition)
Published
2026-03-01
DOI
https://doi.org/10.1016/j.jtte.2024.10.006
Primary Topic
Older Adults Driving Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors associated with travel speeds of young novice drivers: A systematic review

Natalie Watson-Brown, Lisa Buckley, Judy Fleiter, Bridie Scott-Parker et al.
Journal of Traffic and Transportation Engineering (English Edition)
Older Adults Driving Studies
article

Factors associated with travel speeds of young novice drivers: A systematic review

Natalie Watson-Brown, Lisa Buckley, Judy Fleiter, Bridie Scott-Parker, Barry Watson, Teresa Senserrick, Katie Price
article en

Abstract

Young drivers are over-represented in crashes involving excess speed, with driving inexperience a known contributing factor, but not always accounted for in research investigations. This project aimed to systematically review literature on factors contributing to young novice drivers’ travel speeds. Two authors searched four databases: Embase, Scopus, transportation research information database and web of science. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed to select speed-related studies of drivers who were both young (aged 15-24 years) and novices (newly-licensed). Included studies examined factors directly or indirectly associated with travel speed in the “everyday” driving of passenger car-type vehicles, published in English in years 2012-2022. Of 2680 records, removing duplicates and screening resulted in 106 eligible studies, from which 26 were selected, and rated mostly of strong or moderate quality. Factors associated with driving too fast included factors relating to the individual young driver: lower global cognitive functioning, higher impulsivity and risk propensity, alcohol use, and perceptions of police speed enforcement methods as unjust. Additional social factors were having risky friends (generally), driving with passengers (adults or peers), driver-passenger mood, and some phone use. Driving environment factors were inner urban and highway settings, rural roads close-to-home and clear weather. Lower speeds were associated with hazard perception training, a parent-directed intervention when first driving independently and (weakly) viewing medical dramas. Searching roadside signs, texting, and being sleep deprived were also associated with lower speeds, but in ways that increased crash risk. The results provide insights to strengthen or develop new education programs, graduated licensing systems, and other interventions to assist young novice drivers develop and maintain safer speed management skills. Further research also is needed into the effectiveness of more general speeding countermeasures, such as speed management vehicle technologies and infrastructure treatments, specifically with young novice drivers. • Systematic review of recent speed studies with young and newly-licensed drivers. • Individual and situational factors are identified that increase or reduce speeds. • Implications for education, training and licensing initiatives are discussed.

Journal of Traffic and Transportation Engineering (English Edition)
Queensland University of Technology (AU), University of the Sunshine Coast (AU), The University of Western Australia (AU), Sunshine Coast University Hospital (AU)
Openalex Percentile: Top 6%
Older Adults Driving Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.