| Issue |
MATEC Web Conf.
Volume 271, 2019
2019 Tran-SET Annual Conference
|
|
|---|---|---|
| Article Number | 06003 | |
| Number of page(s) | 6 | |
| Section | Intelligent Transportation Systems | |
| DOI | https://doi.org/10.1051/matecconf/201927106003 | |
| Published online | 09 April 2019 | |
Urban Intersections and Traffic Safety in the City of San Antonio
Department of Civil and Environmental Engineering, University of Texas at San Antonio, San Antonio, TX 78249
* Corresponding author: khondoker.billah@utsa.edu
Intersections are high-risk locations on roadways and often experience high incidence of crashes. Better understanding of the factors contributing to crashes and deaths at intersections is crucial. This study analyzed the factors related to crash incidence and crash severity at intersections in San Antonio for crashes from 2013 to 2017 and identified hotspot locations based on crash frequency and crash rates. Binary logistic regression model was considered for the analysis using crash severity as the response variable. Factors found to be significantly associated with the severity of intersection crashes include age of driver, day of the week, month, road alignment, and traffic control system. The crashes occurred predominantly in the highdensity center of the city (downtown area). Overall, the identification of risk factors and their impact on crash severity would be helpful for road safety policymakers to develop proactive mitigation plans to reduce the frequency and severity of intersection crashes.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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