Motivations for Speeding - Additional Data Analysis

Richard, Christian M.; Divekar, Gautam; Brown, James L. · 2016 · ROSA P / United States. National Highway Traffic Safety Administration

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Summary

This report presents additional data analysis from a National Highway Traffic Safety Administration (NHTSA) naturalistic driving study aimed at understanding the motivations and patterns behind speeding behavior. Motivated by the persistent safety issue of speeding-related crashes, which accounted for 30% of fatal crashes in 2012, the research sought to move beyond viewing speeding as a monolithic behavior. The study utilized 1-Hz GPS data collected from 88 drivers in Seattle and 76 drivers in rural Texas to redefine speeding in terms of discrete "Speeding Episodes" (SEs)—continuous driving segments at least 10 mph over the posted limit for a minimum of six seconds. The primary objectives were to identify distinct types of speeding and driver profiles, and to examine the influence of situational factors on these behaviors. The researchers employed cluster analysis on variables such as duration, mean speed, and acceleration to categorize speeding events. In Seattle, six distinct types of speeding were identified: Speeding Up (occurring before speed limit increases), Speed Drop (slowing after transitions), Incidental (unintentional, low-exceedance), Casual (aware but brief), Cruising (long-duration), and Aggressive (high-exceedance, high variability). Texas data yielded similar clusters, though the Aggressive type was replaced by a "Small Increase" cluster. A secondary cluster analysis classified drivers into four types based on their speeding profiles: Deliberate, Typical, Situational, and Unintentional. Demographic and attitudinal surveys were also analyzed to correlate with these classifications. Key findings revealed that speeding behaviors are not uniform but vary significantly by intent and context. "Deliberate Speeders" engaged most frequently in Casual, Cruising, and Aggressive speeding, reported higher risk-taking behaviors, and held the most favorable attitudes toward speeding. "Unintentional Speeders" primarily exhibited Incidental speeding and held the most conservative attitudes. While demographic differences existed across driver types, all groups contained members of every demographic category, indicating that speeding is not exclusively defined by age or gender. Situational analysis indicated that Incidental and Casual speeding occurred widely, whereas Aggressive speeding in Seattle showed the weakest link to roadway characteristics, suggesting driver-specific factors were dominant. Cruising speeding was most prevalent on freeways and state highways. The study concludes that speeding is a complex behavior comprising distinct types with varying risk levels. The identification of a distinct "Deliberate Speeder" group has significant implications for safety countermeasures, suggesting that targeted enforcement and campaigns could be more effective if directed at this high-risk subgroup. Furthermore, recognizing that certain speeding types, such as Aggressive and Cruising, carry higher crash risks than Incidental speeding allows for more efficient resource allocation. The findings support a nuanced approach to speeding enforcement, prioritizing behaviors and locations associated with the highest safety risks rather than treating all speeding violations equally.

Key finding

Deliberate speeders engaged in significantly more frequent and aggressive speeding episodes and reported more favorable attitudes toward speeding than other driver types.

Methodology

naturalistic

Sample size: 164

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).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• speed choice
• urban rural setting
• incidence prevalence
• sex gender
• cultural cross national
• rail grade crossings

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: observational prevalence, crash risk outcomes
• Methodological Resource: dataset resource