2022 Traffic Safety Culture Index

AAA Foundation for Traffic Safety · 2023 · AAA Foundation for Traffic Safety

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Summary

This report presents the findings of the 15th annual Traffic Safety Culture Index (TSCI), conducted by the AAA Foundation for Traffic Safety to assess U.S. motorists’ perceptions, attitudes, and behaviors regarding traffic safety. The study was motivated by persistently high traffic fatalities and the need to understand public engagement with risky driving behaviors to inform countermeasures. The research addresses how drivers perceive the danger, social disapproval, and risk of apprehension for various unsafe behaviors, alongside their self-reported engagement in these activities and support for safety laws. The methodology involved a nationally representative survey of 2,499 licensed U.S. motorists aged 16 and older, conducted between July and August 2022. Data were collected via KnowledgePanel®, a probability-based web panel, with sampling designed to reflect the U.S. adult population across nine Census divisions. The instrument measured five core areas: perceived danger, perceived risk of apprehension, social disapproval, self-reported behaviors in the past 30 days, and support for safety countermeasures. The data were weighted to align with U.S. Census demographics. Additionally, a latent class analysis (LCA) was performed to identify distinct profiles of risky driving behavior engagement based on patterns of self-reported actions. The results indicate that while most drivers perceive distracted, aggressive, drowsy, and impaired driving as very or extremely dangerous, there are significant gaps between perception and behavior. For instance, 93% of drivers viewed texting while driving as extremely dangerous, yet 27% reported doing so in the past 30 days. Similarly, while 95% viewed drowsy driving as dangerous, 18% admitted to driving while too tired to keep their eyes open. Speeding behaviors received the lowest social disapproval and perceived danger ratings; approximately half of respondents reported speeding 15 mph over the limit on freeways. Perceived risk of apprehension was lowest for distracted driving (35–37%) and highest for drunk driving (68%). Public support for countermeasures varied, with nearly 80% supporting bans on holding phones while driving, but only 42% supporting bans on hands-free texting. Using latent class analysis, the study identified six driver profiles: Safe Drivers (41.2%), Distracted Drivers (15.0%), Speeding Drivers (22.7%), Distracted and Aggressive Drivers (17.3%), Impaired Drivers (1.3%), and Most Dangerous Drivers (2.4%). Demographic analysis revealed that Distracted and Most Dangerous Drivers were significantly younger (average age ~40) than other groups. Speeding and Most Dangerous Drivers were predominantly male, whereas Safe Drivers were predominantly female. Impaired Drivers were more likely to reside in non-metropolitan areas and have lower education levels. These findings highlight specific demographic and behavioral clusters that may require targeted interventions to reduce traffic fatalities.

Key finding

Latent class analysis identified six distinct driver profiles based on risky behavior engagement, revealing that while most drivers perceive distracted and impaired driving as extremely dangerous, significant proportions still engage in these behaviors, with demographic factors such as age and gender varying across risk groups.

Methodology

survey

Sample size: 2499

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 (6 acquisition events logged).

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discover success aaa_foundation 2 2026-05-23
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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 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify partial 2 2026-06-10

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