Objectively Derived and Self-Reported Measures of Driving Exposure and Patterns Among Older Adults: AAA LongROAD Study
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Summary
This study examines the correspondence between self-reported and objectively derived measures of driving exposure and patterns among older adults, using data from the AAA Longitudinal Research on Aging Drivers (LongROAD) study. Understanding these metrics is critical for assessing crash risk and characterizing self-regulation, where older drivers reduce exposure to challenging conditions to compensate for declining abilities. The research aims to determine if subjective questionnaire data aligns with GPS-derived objective data, thereby informing the development of educational and training materials for older drivers. The analysis included 2,131 participants aged 65–79 who provided at least 12 months of driving data. Researchers compared subjective measures from baseline questionnaires with objective measures derived from GPS/datalogger devices. Objective variables included driving exposure (days and miles driven) and patterns (night driving, rush-hour traffic, high-speed roads, proximity to home, and turn ratios). To ensure comparability, GPS data were averaged over the first 12 months and recoded to match questionnaire timeframes. Statistical analysis involved univariate statistics and separate simple regression models (linear for exposure, logistic for avoidance patterns) where objective measures served as independent variables predicting subjective reports. Results indicated significant differences in driving behavior by age and sex. Drivers aged 75–79 exhibited lower overall exposure than younger cohorts, driving fewer miles, minutes, and trips, while avoiding night driving, high-speed roads, and rush-hour traffic. Women demonstrated lower exposure than men, driving fewer miles and avoiding night driving, morning rush-hour traffic, and high-speed roads. In the comparative analysis, objective measures significantly predicted self-reported exposure; each additional day driven objectively correlated with a 0.575-day increase in reported driving, and each additional mile correlated with a 0.439-mile increase. For driving patterns, objective behaviors significantly predicted self-reported avoidance of night driving, rush-hour traffic, high-speed roads, and unfamiliar areas. However, the objective ratio of right-to-left turns did not significantly predict self-reported avoidance of unprotected left turns, likely due to the proxy’s inability to distinguish between protected and unprotected intersections. The study concludes that self-reported and objectively derived measures of driving exposure and patterns are significantly related, validating the use of combined data sources to understand older driver behavior. The findings confirm that older adults, particularly those aged 75–79 and women, engage in self-regulatory behaviors by restricting driving in challenging conditions. While the sample may not be fully representative of all U.S. older drivers, the large cohort size and longitudinal design provide robust evidence for future research into individual characteristics influencing driving self-regulation.
Key finding
Among 2,131 older drivers, GPS-derived and self-reported driving exposure measures were significantly correlated, and objective trip patterns predicted self-reported avoidance of night driving, unfamiliar areas, rush-hour traffic, and freeways—though not left-turn avoidance via the turn-ratio proxy.
Methodology
naturalistic
Sample size: 2131
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_aaa_foundation on 2026-05-23 (5 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | aaa_foundation | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: observational prevalence, behavioral performance data
- Methodological Resource: dataset resource