Analysis and Prediction of Crash Fatalities in Australia

Q3 Social Sciences
Fady M. A. Hassouna, I. Pringle
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引用次数: 6

Abstract

As fatalities, injuries, and economic losses from road accidents are a major concern for governments and their citizens, Australia, like other countries, has designed and implemented a wide range of strategies to reduce the rate of road accidents. As part of the strategy design process, data on crash deaths were collected and then analyzed to develop more effective strategies. The data of crash deaths in Australia during the years 1965 to 2018 were analyzed based on gender, causes of crash deaths, and type of road users, and then the results were compared with global averages, then a prediction model was developed to forecast the future annual crash fatalities. The results indicate that, based on gender, the rate of male road fatalities in Australia was significantly higher than that of female road fatalities. Whereas based on the cause of death, the first cause of death was over speeding. Based on the type of road users, the drivers and passengers of 4-wheel vehicles had the highest rate of fatalities. The prediction model was developed based on Autoregressive Integrated Moving Average (ARIMA) methodology, and annual road fatalities in Australia for the next five years 2019-2022 have been forecast using this model.
澳大利亚交通事故死亡人数分析与预测
由于道路交通事故造成的死亡、伤害和经济损失是政府及其公民关注的主要问题,澳大利亚和其他国家一样,设计并实施了一系列广泛的战略来降低道路交通事故的发生率。作为战略设计过程的一部分,收集并分析了事故死亡数据,以制定更有效的战略。对澳大利亚1965年至2018年的车祸死亡数据进行了基于性别、车祸死亡原因和道路使用者类型的分析,然后将结果与全球平均水平进行比较,然后建立了预测模型来预测未来的年度车祸死亡人数。结果表明,按性别划分,澳大利亚男性道路死亡率明显高于女性道路死亡率。而根据死因,第一死因是超速。根据道路使用者的类型,四轮车辆的司机和乘客的死亡率最高。该预测模型是基于自回归综合移动平均(ARIMA)方法开发的,并使用该模型预测了2019-2022年澳大利亚未来五年的年度道路死亡人数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Transportation Journal
Open Transportation Journal Social Sciences-Transportation
CiteScore
2.10
自引率
0.00%
发文量
19
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