Investigation of Rural Roadway Departures

Burbidge, Shaunna K.; Anderson, Camille; Welch, Adrian · 2022 · ROSA P / Utah. Dept. of Transportation. Research Division

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Summary

This study investigates the temporal, spatial, and behavioral characteristics of rural roadway departure crashes in Utah to inform mitigation strategies for reducing fatalities. Motivated by a substantial increase in roadway fatalities in 2020, with rural roadway departures identified as the leading cause, the research aims to identify specific risk factors and patterns. The objectives were to determine where these crashes occur, when they are most common, and what primary contributing factors—both environmental and behavioral—are associated with them. The findings are intended to guide public outreach, education, engineering, and design interventions. The methodology involved a comprehensive analysis of crash data from 2010 to 2021. Researchers filtered the dataset to isolate rural roadway departure crashes, resulting in a final sample of 43,928 crashes, of which 19,489 were roadway departures. Crash data was merged with roadway and location data using GIS spatial join techniques. The analysis employed summary statistics, Pearson’s Chi-Square tests, independent samples t-tests, and regression models, including binary logistic regression to predict the likelihood of roadway departures and maximum likelihood regression to assess crash severity. Variables were categorized into travel behaviors, natural and built environmental characteristics, and crash severity outcomes. The results indicate that negative travel behaviors are significantly more prevalent in roadway departure crashes than in non-departure crashes. Key behavioral contributors include alcohol involvement, distracted driving, drowsy driving, drug use, DUI, speeding, and wrong-way driving. Regarding environmental factors, roadway departures were more likely to occur in work zones and on roadways with barriers, which were 35% more likely to exhibit such crashes. However, the presence of barriers and fencing was significantly correlated with decreased crash severity. Specific land cover types, including scrub/shrub, crops, and flooded vegetation, were associated with a reduced likelihood of roadway departures. Geometric factors also played a critical role; crashes were more frequent on roads with more through lanes, narrower lane widths, lower elevations, narrower shoulders, and shorter sight distances. Notably, each additional foot of shoulder width resulted in a 14% decrease in roadway departure crashes. The study concludes that while driver behaviors are primary contributors to the occurrence of roadway departures, environmental design significantly influences crash severity. Severe crashes were more common on roadways with fewer through lanes and lower capacity. All negative driver behaviors, particularly drowsy driving, DUI, and wrong-way driving, were significantly associated with increased crash severity. The research highlights that work zone crashes are rising and tend to be more severe. These findings support the implementation of targeted engineering solutions, such as widening shoulders and improving roadside design, alongside educational campaigns addressing high-risk behaviors like drowsy and impaired driving, to effectively reduce rural roadway departure fatalities.

Key finding

Negative travel behaviors such as drowsy driving, DUI, and wrong-way driving significantly increase the likelihood of rural roadway departure crashes and severe outcomes, while each additional foot of shoulder width significantly decreases crash frequency by 14%.

Methodology

dataset

Sample size: 43928

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.

• urban rural setting
• incidence prevalence
• rail grade crossings
• roadway lighting effects
• pre crash contributing factors
• crash typology

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