Geo-demographic analysis of fatal motorcycle crashes
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Summary
This technical report by the National Highway Traffic Safety Administration (NHTSA) addresses the need to improve the targeting of motorcycle crash prevention programs. While the Fatality Analysis Reporting System (FARS) provides comprehensive data on fatal crashes, it lacks information on driver lifestyles, interests, and habits, which are critical for effective communication. The study aims to combine FARS data with the Claritas Geo-demographic database to identify specific population segments most at risk and determine the most cost-effective media channels for reaching them with safety messages. The methodology involved linking FARS data on fatal motorcycle crashes with Claritas data, which classifies U.S. zipcodes into 62 distinct lifestyle clusters based on socioeconomic and demographic characteristics. Researchers formulated hypotheses regarding factors such as driver age, alcohol involvement, and gender, then analyzed the data using percentages and indices to identify clusters with a high propensity for fatal crashes. Clusters were classified as "Primary Targets" if they exhibited both a high percentage (>2%) and a high index (>120) for crash incidence. Media analysis was conducted to evaluate the reach and performance index of various media outlets, such as radio and magazines, relative to these target clusters. The findings identified ten primary target clusters (19, 21, 25, 32, 34, 35, 39, 52, 53, and 60) that account for a disproportionate share of fatal motorcycle crashes. The analysis revealed that age is a key determinant, with drivers under 40 involved in the majority of fatalities, though high-risk clusters showed a bimodal age distribution involving both younger suburban riders and older rural riders. Alcohol was a factor in 40% of fatal crashes, and male drivers accounted for nearly all fatalities. Notably, high motorcycle ownership did not always correlate with high crash incidence; only two clusters were high in both metrics. Factors such as helmet use, license status, and weather did not vary significantly by lifestyle cluster. The significance of this research lies in its application for designing targeted safety campaigns. The study concludes that prevention programs should focus on drivers under 40, particularly males, and address alcohol involvement. Based on the lifestyle profiles of the primary target clusters, the report recommends using country radio, country music television, and motorcycle or fishing/hunting magazines as the most productive media for delivering safety messages. This geo-demographic approach allows NHTSA to move beyond general demographics and tailor interventions to the specific habits and media consumption patterns of high-risk populations.
Key finding
Ten specific lifestyle clusters (19, 21, 25, 32, 34, 35, 39, 52, 53, and 60) exhibited the highest propensity for fatal motorcycle crashes, with country radio and country music TV identified as the most effective media for reaching these target segments.
Methodology
dataset
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.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- demographic disparities
- motorcycle crash typology
- vru crash typology
- incidence prevalence
- comparative international
- causation analyses
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: crash risk outcomes