Human Injury causing Road Traffic Accident at Debre Markos Town

Wubetie Habtamu Tilaye
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引用次数: 1

Abstract

Objective: A Road traffic accident (RTA) is when in a road Vehicle collides with another Vehicle, pedestrian, animal or geographical or architectural obstacle. The RTAs can result in human injury, property damage and death. RTA result in the deaths of 1.2 million people worldwide each year and injuries about 4 times this number. The objective of this study is to identify the main causing-factors that contribute to road traffic accidents involving human injuries. Literature suggested factors considered for analysis are: Driver's Age, Driver’s Education status, Driver's experience, Vehicle type, Driver Vehicle Ownership, Vehicle year of service, Road type, Road division, Road condition, Problem with car, Weather condition, and accident time (day or night). Results: Among the candidate variables, Pearson Chi-Square method identified weather condition, driver’s experience, Vehicle year of service; Road division, Driver Vehicle Ownership, and accident time (day or night ) as significantly associated variables. Furthermore, percentage is used to describe the magnitude of associated variable. The result from Poisson regression analyses revealed that low driver experience, high Vehicle year of service (old cars), and Road division (one way road) are the significant contributing factors for increment of human injuries accidents.
Debre Markos镇道路交通事故致人受伤
目的:道路交通事故(RTA)是指道路车辆与另一辆车辆、行人、动物或地理或建筑障碍发生碰撞。rta可能导致人身伤害、财产损失和死亡。RTA每年导致全世界120万人死亡,受伤人数约为这一数字的4倍。本研究的目的是确定导致道路交通事故涉及人身伤害的主要原因。文献建议考虑的分析因素有:驾驶员年龄、驾驶员教育程度、驾驶员经验、车辆类型、驾驶员车辆所有权、车辆服务年限、道路类型、道路划分、道路状况、车辆问题、天气状况和事故时间(白天或晚上)。结果:在候选变量中,皮尔逊卡方法确定了天气条件、驾驶员经验、车辆服务年限;道路划分、司机车辆拥有量和事故时间(白天或晚上)是显著相关变量。此外,百分数用于描述相关变量的大小。泊松回归分析结果表明,低驾驶员经验、高车辆使用年限(旧车)和道路划分(单行道)是造成人身伤害事故增加的重要因素。
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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