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Mathematical Model to Assess Motorcycle Accidents in Tanzania

机译:评估坦桑尼亚摩托车事故的数学模型

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Motorcycle accident has been one of the paramount road cases in Tanzania. However, when ensuring road safety rules in Tanzania it is important to assess the nature and causes of road accidents in the country. It is also necessary to find out the factors which lead to an obstacle of achieving road safety and regulations. This paper focuses on the assessment of motorcycle accidents in Tanzania and the associated factors such as driving experience, personal status like alcoholic, carelessness, wrong overtaking, speed, mechanical defect and road conditions. The models were formulated by using SPSS software program from the data collected from Kilimanjaro and Arusha regions. By applying multi-linear regression methods, the formulated model solutions were used to analyze the relationship between motorcycle accidents as the dependent variable and other factors such as driving experiences, speed, legal status, personal status, mechanical defects, wrong overtake and rough road, tarmac road as independent variables. Keywords: Multi Linear regression method, Motorcycle accidents, Personal status and Road condition.
机译:摩托车事故一直是坦桑尼亚最重要的道路案例之一。但是,在确保坦桑尼亚的道路安全规定时,重要的是评估该国道路事故的性质和原因。还必须找出导致阻碍道路安全和法规的因素。本文着重评估坦桑尼亚的摩托车事故以及相关的因素,例如驾驶经验,个人身份(如酒后驾驶),粗心,错误超车,速度,机械故障和道路状况。通过使用SPSS软件程序从乞力马扎罗山和阿鲁沙地区收集的数据中建立模型。通过应用多元线性回归方法,使用制定的模型解决方案来分析摩托车事故作为因变量与其他因素之间的关系,例如驾驶经验,速度,法律地位,个人身份,机械缺陷,超车和崎rough不平的道路,柏油碎石路作为自变量。关键字:多元线性回归法,摩托车事故,人身状况和道路状况。

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