Age and road safety performance: Focusing on elderly and young drivers
DOI: 10.1016/j.iatssr.2020.08.005
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Summary
This study investigates the factors contributing to the elevated crash risks observed in young and elderly drivers, specifically focusing on distracted driving (mobile phone use) and fatigued driving. While previous literature establishes that these age groups have the highest crash rates, this research aims to clarify the underlying behavioral and attitudinal differences by comparing self-reported data from drivers in Canada, the United States, and Europe. The authors utilize data from the E-Survey of Road User’s Safety Attitudes (ESRA2), a comprehensive international survey designed to collect comparable data on road user opinions, attitudes, and behaviors. The methodology involved analyzing responses from 15,447 drivers across three regions: Canada (n=602), the United States (n=595), and Europe (n=14,250). Participants were categorized into three age groups: young (18–21 years), middle-age (35–54 years), and elderly (65+ years). The study employed descriptive statistical analyses, including chi-square tests and Cramer’s V coefficients, to assess differences in self-declared behaviors, perceived acceptability, risk perception, and support for policy measures. Additionally, multivariate logistic regression modeling was used to identify predictors of distracted and fatigued driving behaviors, controlling for factors such as gender and driving frequency. The results consistently demonstrated significant age-related differences across all three regions. Young drivers (18–21) reported the highest rates of engaging in distracted driving behaviors, such as reading texts or checking social media, and driving while fatigued. Conversely, elderly drivers (65+) reported the lowest rates of these behaviors. Beyond behavior, young drivers exhibited higher levels of personal and social acceptability for these unsafe practices and were less likely to perceive distraction and fatigue as frequent causes of crashes. In contrast, elderly drivers were most likely to view these behaviors as unacceptable and dangerous. This pattern extended to policy support; young drivers were the least likely to support zero-tolerance policies for mobile phone use while driving, whereas elderly drivers showed the strongest support for such measures. Multivariate analysis confirmed that elderly drivers were significantly less likely to engage in mobile phone use or fatigued driving compared to other age groups. The significance of these findings lies in their implication for targeted road safety interventions. The study highlights that the elevated crash risk among young drivers is partly driven by a combination of higher engagement in risky behaviors and a lower perception of their danger, suggesting a need for education and enforcement strategies that address attitude and risk perception. For elderly drivers, the lower engagement in these specific risky behaviors suggests their crash risk may stem more from physiological factors, such as deteriorating cognitive or motor skills, rather than behavioral choices like distraction. The consistency of these trends across North America and Europe indicates that age-related differences in driving attitudes and behaviors are robust across different cultural and regulatory contexts, providing a strong evidence base for international road safety policy development.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-19 |
| archive | success | openalex | — | — | 5 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-19 |
| chunk | success | chunk | — | — | 1 | 2026-06-19 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-19 |
| promote | success | — | — | — | 1 | 2026-06-19 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-19 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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- Empirical Findings: observational prevalence