2022-2023 National Survey of Speeding Attitudes and Behaviors [Traffic Tech]
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Summary
This report presents findings from the 2022–2023 National Survey of Speeding Attitudes and Behaviors, the fourth in a series conducted by the National Highway Traffic Safety Administration (NHTSA). The study addresses the persistent safety issue of speeding, which has been involved in approximately one-third of all motor vehicle fatalities for over two decades. Despite advancements in vehicle safety technology, speeding remains a critical risk factor, motivating the need for updated national estimates of driver behaviors and attitudes to inform countermeasures. To improve response rates and sample representativeness, the survey methodology shifted from random-digit-dialing to an address-based sampling design using a mail-push-to-web approach. Data were collected from September 28, 2022, to January 22, 2023, yielding 5,680 respondents aged 18 and older. After excluding non-drivers, the analysis focused on 5,593 drivers. The data were weighted to provide national estimates. Researchers employed latent class analysis to categorize drivers into three groups based on speeding-related behaviors and attitudes: speeders (17%), sometime speeders (44%), and nonspeeders (39%). The results revealed distinct behavioral and attitudinal differences among driver types. Speeders were significantly more likely to pass other cars and keep up with faster traffic, whereas nonspeeders tended to stay with slower traffic. Speeders also reported higher rates of being stopped for speeding in the past year (12%) compared to nonspeeders (2%). Demographically, males and higher-income individuals were more likely to be classified as speeders. Normatively, nearly all respondents agreed that obeying speed limits is important, yet speeders were more likely to believe tickets are issued primarily for revenue generation. Common reasons for speeding included matching traffic flow (62%) and passing vehicles (58%). Regarding countermeasures, respondents broadly supported increasing public awareness (76%) and using electronic warning signs (75%). Support for speed safety cameras was high in specific contexts like school zones (80%) but low for universal application (25%). Conversely, only 13% supported speed governors for all drivers, though support was higher for specific groups like young drivers or those with multiple tickets. The study concludes that while general attitudes toward speeding risks are consistent across the population, behavioral tendencies and views on enforcement vary significantly by driver type. The largest group, sometime speeders, holds anti-speeding attitudes but engages in speeding occasionally, suggesting that interventions must be nuanced. The findings imply that effective speeding-reduction strategies should be tailored to specific driver profiles, as attitudinal and behavioral differences necessitate targeted approaches rather than a one-size-fits-all solution.
Key finding
Latent class analysis identified three distinct driver groups, with sometime speeders comprising the largest segment (44%), and revealed that while general support for speeding countermeasures is high, specific attitudes toward enforcement and interventions vary significantly by driver type, income, and education.
Methodology
survey
Sample size: 5680
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 | 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