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Abstract

This study presents a decade-long spatiotemporal analysis of more than 206,000 traffic accidents recorded between 2015 and 2024 in unincorporated DeKalb County, Georgia. The primary goal of the study is to identify critical patterns of roadway risk and inform data‑driven safety interventions. Using crash records from the Georgia Department of Transportation (GDOT) AASHTOWare Safety platform and standardized crash‑rate calculations, the analysis revealed strong temporal regularities, including elevated crash frequencies during afternoon peak hours, Fridays, and seasonal transition periods such as October. Spatial analyses further demonstrate that crashes are highly concentrated along a limited subset of corridors, consistent with High Injury Network (HIN) principles, where the top 20 percent of roadway segments account for a disproportionate share of severe incident risk. By integrating temporal rhythms with geospatial risk mapping, the study produced insights for targeted infrastructure improvements, strategic enforcement deployment, and long‑term planning aligned with Vision Zero and county-level high-resolution transportation safety priorities. The findings underscore the critical importance of proactive, context‑sensitive, and data‑informed approaches to reduce fatalities and serious injuries across unincorporated DeKalb County, Georgia.

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