Relative crash risk and road safety during rainfall in Texas from 2006 to 2021
DOI: 10.1038/s41598-025-20760-w
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Summary
This study investigates the relationship between precipitation and roadway crash risk in Texas from 2006 to 2021, addressing gaps in prior research regarding temporal granularity and the integration of driver and roadway factors. While previous studies often relied on daily weather data that could bias risk estimates, this research utilizes high-resolution, hourly gridded precipitation data to provide a more precise assessment of crash likelihood and severity under adverse weather conditions. The motivation stems from the need for robust, large-scale data to inform policy development and sustainable transportation systems, particularly given the socioeconomic costs of roadway crashes. The researchers employed a Matched Pairs Analysis (MPA) methodology using data from the Texas Crash Records Information System and NEXRAD Stage-IV precipitation records. This approach paired each hour of precipitation with a control hour one week prior or subsequent, controlling for temporal confounders such as traffic volume, time of day, and lighting conditions. The study calculated Relative Risk Factors (RRF) to estimate the odds of crashes, injuries, and fatalities during wet versus dry periods. The analysis covered various dimensions, including crash severity, roadway classification, rainfall intensity, driver demographics, and temporal factors, leveraging 16 years of comprehensive data across the state’s diverse climatic regions. The findings reveal that precipitation significantly increases crash risk, with an annual minimum rise of 32% and an average increase of 38%. However, rainy conditions were associated with reduced crash severity compared to dry weather; while the relative risk for no-injury crashes was 40% higher, the risk for fatal crashes increased by less than 1%. Crash risk varied by rainfall intensity, with increases ranging from 36% to 52%, and higher risks observed during intense rainfall exceeding 25 mm/hr. Demographic analysis showed the highest risk among young adults (18–30 years) and lower risk for individuals over 65, with females exhibiting a 7–13% lower risk than males. Spatially, crash frequency correlated with population density, particularly in urban centers along the I-35 corridor. Temporally, early morning hours posed the highest risk due to rush hour traffic and changing light conditions. Additionally, a negative correlation (-0.78) was found between annual rainfall totals and relative risk, suggesting driver acclimation in wetter years. The study concludes that while rainfall substantially elevates the frequency of crashes, it reduces their severity, likely due to increased driver caution and reduced speeds. These insights highlight the complex interplay between environmental conditions, driver behavior, and infrastructure. The results provide foundational evidence for targeted safety interventions, emphasizing the need to address human factors alongside vehicle technology and road design. By utilizing high-resolution data and rigorous matching methods, this research offers a more accurate understanding of weather-related road safety dynamics, supporting global initiatives like Vision Zero to mitigate traffic fatalities and improve transportation sustainability.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-20 |
| 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 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| 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.
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- Empirical Findings: crash risk outcomes