使用预测分析按性别进行车辆死亡分析

Mena Youssef, Serkan Varol, Serkan Catma
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引用次数: 1

摘要

在美国,机动车碰撞事故是导致死亡的重要原因之一。在过去十年中,涉及机动车辆致命事故的女性人数显著增加。该项目调查了国家公路交通安全管理局报告系统中捕获的变量,以了解导致田纳西州女性驾驶员参与导致死亡的撞车事故的影响因素。研究结果显示,驾驶员身高、体重、年龄和车辆型号年份等变量对女性参与导致死亡的事故的平均基尼系数影响最大。政府官员可以利用从这项研究中获得的证据来引入法律和安全措施,以帮助降低致命事故的发生率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle Fatality Analysis by Gender using Predictive Analytics
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.
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