Impact of Local/Short Haul Operations on Driver Fatigue: Focus Group Summary and Analysis [TechBrief]
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Summary
This study investigates whether driver fatigue is a significant safety factor in local/short haul (L/SH) commercial motor vehicle operations, defined as trips of 100 miles or less from a home base. The research was motivated by the contrast between L/SH and long-haul driving; while long-haul drivers face irregular schedules and extended time on the road, L/SH drivers typically work during daylight hours, perform multiple deliveries, and return home nightly. Researchers sought to determine if fatigue remains a critical safety issue in this context or if other factors dominate. The methodology involved conducting 11 focus groups between May and August 1997 across five states: New Jersey, North Carolina, Pennsylvania, Virginia, and Washington. Eighty-two L/SH drivers participated, recruited through newspaper advertisements, company flyers, and direct management arrangements. Participants represented various industries, including air freight, chemicals, and produce. During the sessions, drivers described their jobs, recalled critical incidents with crash potential, and ranked general safety issues and specific fatigue-related concerns. Participants were not initially informed that the study specifically targeted fatigue, allowing for organic discussion of industry challenges. The findings revealed that L/SH drivers worked an average of 48.9 hours per week and drove a mean of 157 miles daily. When ranking general safety issues, drivers identified "problems caused by drivers of light vehicles" (e.g., cars, pickup trucks) as the most critical issue, citing discourteous behavior and lack of respect from other motorists. "Stress due to time pressure" and "inattention to the road" ranked second and third, respectively. Fatigue ranked fifth overall and was discussed in only 36 percent of the sessions, compared to 100 percent for light vehicle issues. Among fatigue-specific causes, drivers ranked "not enough sleep" as the primary factor, followed by hard physical workdays, heat/lack of air conditioning, waiting to unload, and irregular meal times. Data showed that drivers who cited fatigue as a concern reported less nightly sleep than those who did not. Drivers attributed the lower impact of fatigue in L/SH operations to their ability to sleep in their own beds, take work breaks, and work primarily during daylight hours, suggesting fatigue is often a result of personal sleep choices rather than work demands. The study concludes that fatigue is less significant in L/SH operations than in long-haul trucking, where it is a prevalent safety issue. Instead, interactions with other vehicle drivers and time pressure pose greater risks. These findings represent the first phase of a two-phase FHWA study. The second phase involves instrumented-vehicle data collection to empirically assess driver error, fatigue, and distraction, aiming to further understand the human factors contributing to crash causation in commercial motor vehicle operations.
Key finding
Fatigue was ranked fifth among general safety issues by L/SH drivers, with the most critical safety concern identified as problems caused by drivers of light vehicles.
Methodology
other
Sample size: 82
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 | — | — | 4 | 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.
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- Empirical Findings: physiological data
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