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Analyse par modélisation des déterminants comportementaux des usagers de la route dans les collisions en Algérie

机译:阿尔及利亚碰撞中道路用户行为决定因素的建模分析

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The statistics of road collision in Algeria reflect the seriousness of the problem and require sustained efforts from all stakeholders in road prevention in order to reduce the number of collisions and victims. The primary responsibility lies also at the vehicle user. Through the study of the causes of collisions occurred in 2013, it appears that 91,84% of the total recorded are due to the human factor: 26,59% were caused by speeding, 8,25% by dangerous overtakingand 6,39% bynot using crosswalks, in addition to non-compliance with the safety distance and dangerous maneuvers. The remaining rate causes are the vehicle statewith 4,06% and 4,10% is the environment. In this study, we seek to highlight the factors underlying road collisions according to their occurrence area. The main objective is to identify the behavioral factors that explain the occurrence of collisions in Algeria. To do so, we developed a quantitative model expressing the magnitude and gravity of the various explanatory factors in the number of collisions followed by a comparison of their influence in both urban and rural distinct zones. In developing the model, we have the following methodological framework: - A collection of quantitative data, in the national center of prevention and road safety (CNPSR) and exploration of the available data by the application of Principal Component Analysis (PCA) on the explanatory variables used. - Development of an econometric model to determine the influential causes on the number of collisions. Collisions that occurred in urban areas were not influenced by the same variables relative to those that occurred in rural areas. Thus, the influential variables change from one area to another. This diversity is due to two criteria: the nature of the areas where there are specific characteristics of each area including their development and severity in terms of frequency, meaning that the same variable does not have the same influence in both zones.
机译:阿尔及利亚道路碰撞的统计数据反映了问题的严重性,要求所有利益攸关方都有持续努力,以减少碰撞和受害者的数量。主要责任也在车辆用户身上。通过研究2013年发生的碰撞原因,似乎91,84%的记录总量是由于人类因素:26,59%是由超速造成的,8,25%危险过度引起的6,39%除了不遵守安全距离和危险的演习之外,还使用人行横道。剩余的率原因是车辆态度为4,06%,4,10%是环境。在这项研究中,我们寻求根据其发生区域突出道路碰撞的因素。主要目标是确定解释阿尔及利亚碰撞发生的行为因素。为此,我们开发了一种定量模型,表达了各种解释因素的统一因素的幅度和重力,然后进行了对城市和农村不同区域的影响。在开发模型时,我们具有以下方法论框架: - 在国家预防和道路安全中心(CNPSR)中的一系列定量数据,并通过在解释性上应用主成分分析(PCA)探索可用数据使用的变量。 - 开发经济学模型,以确定对碰撞次数的有影响力的原因。城市地区发生的碰撞与农村地区发生的人相对于那些相同的变量影响。因此,影响力变量从一个区域变为另一个区域。这种多样性是由于两个标准:每个区域的特定特征的区域的性质,包括它们在频率方面的发育和严重程度,这意味着相同的变量在两个区域中没有相同的影响。

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