Date of Award
Engineering and Applied Science - Civil & Environmental
Civil and Environmental Engineering
This study has two main objectives. First, the impact of various factors on highway fatality rates in the United States (US), Southern States, Gulf Mexico States, and Louisiana are examined. Second, two models are developed to predict fatality rates in the stated regions: highway fatality rate per 1000 drivers and highway fatality rate per 100 million vehicle miles traveled (VMT). Data from 2004-2021 obtained from the Bureau of Transportation Statistics are analyzed using Stepwise Multiple Regression method. The results of this study reveal that road conditions and driving alone are the primary predictors strongly associated with fatality rates. The impact of other factors, such as commute modes, highway expenditure, and transportation employees, is also observed to varying degrees. The predictive models are validated using the Shapiro-Wilk test and normal distribution plots to ensure accuracy. This study's findings will aid decision-makers in allocating resources and improving highway safety in the US.
Alswaeer, Tharwat K., "Development of Models to Predict Highway Fatality Rates: Insight from United States, Southern States, Gulf Mexico States, and Louisiana" (2023). University of New Orleans Theses and Dissertations. 3108.
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