Honors Program Theses
Award/Availability
Open Access Honors Program Thesis
First Advisor
Mark Ecker
Abstract
Vehicle accidents occur across the world every day. Rain or shine, night or day accidents will always occur. While each accident has its own set of unique characteristics, a statistical data analysis can help identify important factors, trends and overall patterns that explain and predict the total property damage incurred after a car crash. As a result, the primary goal of this research is to employ a regression analysis to identify which environmental and collision variables are most important in explaining and predicting the dependent variable – total property damage that results from auto accidents.
This research will also explore any potential differences in the severity of motor vehicle accidents in two cities in Iowa: Ankeny and Waterloo. By analyzing the crash data from these two cities, any potential differences in crash factors between the two cities may provide additional guidance for drivers to stay safe on the roads.
Year of Submission
2024
Department
Department of Mathematics
University Honors Designation
A thesis submitted in partial fulfillment of the requirements for the designation University Honors
Date Original
12-2024
Object Description
1 PDF (28 pages)
Copyright
©2024 Erica Peters
Language
en
File Format
application/pdf
Recommended Citation
Peters, Erica, "An Analysis of Crash Factors on Total Property Damage" (2024). Honors Program Theses. 958.
https://scholarworks.uni.edu/hpt/958
