Intersection Design, Speed, and Context as Drivers of Crash and Severity

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ARP_Submit_26_0421.pdf (1.56 MB)
Author(s)
Li, Yihan
Advisor(s)
Akar, Gulsah
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Associated Organization(s)
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School of City and Regional Planning
School established in 2010
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Permanent Link
https://hdl.handle.net/1853/81250
Abstract
This study examines how traffic exposure, intersection design, and land-use context affect crash frequency and injury severity at suburban intersections in Gwinnett County, Georgia. Using crash data from 2020 to 2024, this study applies a Poisson model to estimate crash frequency and a binomial-logit model to predict the likelihood of severe injury outcomes (K+A). The results show that AADT, intersection geometry, and signalization increase crash frequency. However, these factors do not affect severity in the same way. Signalized intersections reduce the odds of severe injury, while residential areas show higher severity despite fewer crashes. These findings show that crash frequency and injury severity follow different mechanisms and highlight the need for safety strategies beyond total crash counts.
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Date
2026-04
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Resource Type
Text
Resource Subtype
Applied Research Paper
Masters Project
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Unless otherwise noted, all materials are protected under U.S. Copyright Law and all rights are reserved
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