The Safety Performance of Passenger Carrier Drivers
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, conducted for the Federal Motor Carrier Safety Administration (FMCSA), investigates the safety performance of passenger carrier drivers, with a specific focus on motorcoach operators. The research was motivated by a significant increase in motorcoach fatalities between 1991 and 2008 and subsequent high-profile crashes in 2011, which underscored the need to identify driver-specific risk factors. The primary objective was to develop a predictive model assessing how individual driver characteristics and past safety records influence the likelihood of future crash involvement. The researchers utilized a comprehensive dataset comprising over 560,000 commercial motor vehicle (CMV) drivers, including 2,580 passenger carrier drivers. Data were merged from the FMCSA’s Driver Information Resource (DIR) and the Commercial Driver’s License Information System (CDLIS). The study design separated historical data from future outcomes: independent variables, including demographics (age, gender, height, weight) and safety history (past crashes, out-of-service violations), were drawn from a five-year period ending in September 2007. The dependent variable, the number of state-reportable crashes, was measured during a subsequent two-year window from October 2007 to October 2009. Poisson regression models were employed to analyze the relationship between these driver attributes and crash likelihood, with specific comparisons made between passenger carrier drivers and non-passenger carrier drivers. The analysis revealed several statistically significant predictors of future crash involvement. Drivers with a higher number of past crashes, higher rates of driver or vehicle out-of-service violations, and higher body mass index (BMI) exhibited a greater likelihood of future crashes. Male drivers were also found to have a significantly higher crash likelihood than female drivers. Conversely, employment stability was protective; drivers who worked for fewer unique motor carriers had a lower likelihood of future crashes. Notably, age was not a significant predictor in the regression model, although descriptive analysis indicated that drivers under 30 had the highest crash rates. A key finding was that driving for a passenger carrier significantly decreased the likelihood of future crash involvement compared to non-passenger carriers, holding other characteristics constant. Furthermore, interaction tests showed that the impact of individual driver characteristics on crash risk did not differ significantly between passenger and non-passenger carrier drivers. The study concludes that specific driver demographics and historical safety records are robust predictors of future crash risk. The finding that passenger carrier drivers have lower crash rates suggests that the selection, training, or operational environment of passenger carriers may contribute to enhanced safety. These results support FMCSA initiatives to improve motorcoach safety by highlighting the importance of monitoring driver history, BMI, and employment stability. The authors note limitations, including the lack of exposure data (miles driven) and environmental crash factors, and recommend future research incorporating detailed interviews on work patterns and carrier policies to further refine crash avoidance strategies.
Key finding
Employment as a passenger carrier or motorcoach driver significantly decreases the likelihood of future crash involvement compared to non-passenger carriers, while higher BMI, male gender, past crashes, and out-of-service violations increase crash risk.
Methodology
dataset
Sample size: 560695
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.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- bus coach
- sex gender
- telematics crash prediction
- incidence prevalence
- induced exposure
- demographic disparities
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