Vehicle Fatality Analysis by Gender using Predictive Analytics

Abstract

Motor vehicle crashes in the United States are one of the significant causes of death. Females involved in motor vehicle fatal accidents show a significant increase in the last decade. This project investigates variables captured within the National Highway Traffic Safety Administration’s reporting system to see the contributing factors toward female driver involvement in crashes that result in a fatality in Tennessee. The findings showed that variables such as driver height, weight, age, and vehicle’s model year have the most influence per mean decrease Gini on female involvement in accidents resulting in fatalities. Government officials can use evidence gained from this study to introduce laws and safety measures to help decrease the rate of fatal accidents.