National Survey on Distracted Driving Attitudes and Behaviors -- 2012
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Summary
The 2012 National Survey on Distracted Driving Attitudes and Behaviors (NSDDAB), conducted by the National Highway Traffic Safety Administration (NHTSA), addresses the prevalence of distracted driving and associated attitudes among U.S. drivers. Motivated by the rise in cell phone usage and the resulting safety concerns, this study serves as the second in a series of national surveys, aiming to provide data for developing countermeasures. A key methodological advancement in this iteration was the development of a driver typology using cluster analysis to categorize drivers based on behavioral patterns, rather than relying solely on demographic factors. The study employed a partial overlapping dual-frame sampling design, interviewing 6,016 drivers aged 16 and older via landline and cell phone between February and June 2012. Cluster analysis of responses to ten distracted driving behavior questions classified 99% of respondents into two distinct groups: 33% were identified as "distraction-prone" and 67% as "distraction-averse." Distraction-prone drivers were significantly more likely to be younger, have higher household incomes, and possess college degrees compared to their distraction-averse counterparts. Gender showed no significant difference in classification. The survey found that 91% of respondents owned cell phones. Nearly half (48%) reported answering calls while driving at least some of the time, while 10% admitted to sending text messages or emails while driving. Despite these behaviors, perceptions of safety varied; while many drivers claimed their driving did not change when using phones, a significant portion admitted to being distracted or driving more slowly. Passengers expressed high levels of discomfort with drivers texting or emailing, with 86% and 85% respectively feeling "very unsafe." Regarding legal frameworks, 94% of respondents supported laws banning texting while driving, and 74% supported bans on hand-held cell phone use. However, awareness of enforcement programs was low, with 86% unaware of any special police efforts to ticket distracted drivers. Comparing results to the 2010 survey, the study found little change in the overall proportion of drivers engaging in distracted behaviors, though support for banning hand-held cell phone use increased from 68% to 74%. The findings highlight that driver type is a powerful predictor of attitudes toward distracted driving and sanctions. The report concludes that while public support for restrictive laws is high, actual behavioral changes remain modest, and awareness of enforcement is limited, suggesting a need for continued intervention and education to reduce distracted driving incidents.
Key finding
Cluster analysis classified 33% of drivers as distraction-prone and 67% as distraction-averse, with the former group being significantly younger, wealthier, and more educated.
Methodology
survey
Sample size: 6016
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_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 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 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | partial | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.
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- Empirical Findings: observational prevalence, behavioral performance data