Temporal dynamics in barrier-involved crashes: Determining shifts in driving behavior and injury risk across multi-year periods.
DOI: 10.1038/s41598-026-45273-y
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Summary
This study investigates the temporal dynamics of injury severity in barrier-involved traffic crashes, addressing a gap in literature regarding how risk factors evolve over time, particularly across the pre-pandemic, pandemic, and post-pandemic periods. While roadway barriers are designed to mitigate run-off-road crashes, they can also induce severe injuries upon impact. Previous research has largely treated crash determinants as static, ignoring potential shifts in driver behavior and systemic conditions. This research aims to determine whether the influence of specific risk factors on crash severity remains stable or changes across multi-year periods, providing evidence for adaptive safety policies. The analysis utilizes a comprehensive dataset of 63,745 barrier-involved crashes from Texas, sourced from the Texas Department of Transportation Crash Records Information System, covering January 2017 to December 2022. The data was segmented into three distinct periods: 2017–2019 (pre-pandemic baseline), 2020 (pandemic peak), and 2021–2022 (post-pandemic recovery). Crash severity was categorized into fatal/incapacitating, non-incapacitating/possible injury, and property damage only. The study employed advanced econometric modeling, specifically Multinomial Logit (MNL) and its extensions, including Random Parameter Logit (RPL) models with heterogeneity in means and variances. These models were selected to capture unobserved heterogeneity and temporal instability in predictor effects, accounting for variables such as roadway alignment, speed limits, weather, lighting, vehicle type, and driver behavior. Key findings reveal significant temporal shifts in the associations between contextual factors and crash outcomes. Moderate speed zones (35–55 mph), which were not significant in earlier periods, became increasingly associated with lower injury severity in later years. Conversely, crashes occurring outside intersections, initially linked to lower risk, showed elevated severity in the post-pandemic period. The influence of lane departure, marked lanes, positive median barriers, and collisions with fixed objects also varied across the three periods. Notably, driver failure to maintain a single lane emerged as a consistent and strong predictor of severity, with its negative impact intensifying over time. The study confirms that many determinants previously assumed to be stable exhibit significant temporal instability. The significance of this research lies in its demonstration that crash severity determinants are not static but evolve with changing behavioral and systemic conditions, such as those induced by the pandemic. The findings challenge the reliance on historically static assumptions in traffic safety modeling. By highlighting the temporal instability of risk factors, the study supports the need for adaptive, evidence-driven safety policies that reflect shifting roadway dynamics and driver behaviors. This approach allows for more effective, context-specific interventions to mitigate the risks associated with barrier-involved crashes.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | PubMed Central | — | — | 1 | 2026-06-19 |
| archive | success | unpaywall | — | — | 2 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-19 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- fatality injury trends
- incidence prevalence
- sex gender
- demographic disparities
- pre crash contributing factors
- naturalistic crash near crash
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, behavioral performance data
- Methodological Resource: dataset resource