Factors Contributing to South Dakota Crash and Fatality Rates
archive: archived pipeline: cataloged verified
Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)
Summary
This study investigates the factors contributing to South Dakota’s traffic crash and fatality rates, which appear higher than those of surrounding states. Commissioned by the South Dakota Department of Transportation and conducted by Purdue University’s Center for the Advancement of Transportation Safety, the research aimed to identify primary contributory factors to inform safety interventions. The project faced significant methodological setbacks, including the inability to obtain comprehensive crash data from six comparison states (Montana, New Mexico, Nevada, North Dakota, Utah, and Wyoming) and incomplete data from South Dakota due to the underreporting of crashes on Native American reservations. Consequently, the analysis relied heavily on the Fatality Analysis Reporting System (FARS) and developed a statistical model to estimate underreporting in counties with high Native American populations. The researchers identified six critical focus areas. First, underreporting of crashes on Native American reservations creates a substantial data gap, as these areas are sovereign and not subject to state reporting mandates; a predictive model was created to estimate missing crash counts. Second, rollover crashes are a major concern, with South Dakota’s fatal rollover rate nearly three times the national average, particularly on rural local roads and involving SUVs. Third, restraint use is low; South Dakota has a secondary seat belt law for adults, resulting in the lowest usage rates among the compared states, with restrained occupant fatalities dropping from 24.3% in 1998 to 18.0% in 2003. Fourth, alcohol-related crashes remain high, with South Dakota receiving poor grades in state safety ratings and showing increasing alcohol involvement in reported crashes within Native American counties. Fifth, speeding contributes significantly to fatalities, with rates per vehicle mile traveled among the highest in the nation. Sixth, young drivers (ages 14–20) are disproportionately involved in fatal crashes, often with passengers, despite the existence of a Graduated Driver’s License law that lacks restrictions on peer passengers. The study concludes that without a systemic approach to capturing all crash reports, particularly on reservation lands, the state cannot accurately monitor progress or fully understand the root causes of its high fatality rates. The findings highlight urgent needs for improved data collection, stricter seat belt enforcement, and targeted interventions for alcohol, speeding, and young driver safety. The report recommends that the state address these six focus areas to reduce loss of life, emphasizing that accurate traffic records are a prerequisite for effective safety planning.
Key finding
South Dakota's fatal rollover crash rate per 100 million vehicle miles traveled was nearly three times the national average, and the state had the lowest observed seat belt usage rates among the seven states studied.
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.
- incidence prevalence
- demographic disparities
- comparative international
- fatality injury trends
- naturalistic crash near crash
- 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, observational prevalence
- Methodological Resource: dataset resource