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首页> 外文期刊>Promet-traffic & transportation >ANALYSIS OF FACTORS INFLUENCING THE VEHICLE DAMAGE LEVEL IN FATAL TRUCK-RELATED ACCIDENTS AND DIFFERENCES IN RURAL AND URBAN AREAS
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ANALYSIS OF FACTORS INFLUENCING THE VEHICLE DAMAGE LEVEL IN FATAL TRUCK-RELATED ACCIDENTS AND DIFFERENCES IN RURAL AND URBAN AREAS

机译：影响城乡重大卡车相关事故和差异的车辆危害水平的因素分析

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摘要

Accidents involving large trucks very often end up with deadly consequences. Innocent people getting killed are acknowledged globally as one of the traffic safety greatest problems and challenges. While risk factors on truck-related accidents have been researched extensively, the impact on fatalities has received little or no attention, especially considering rural and urban areas, respectively. In this study, the generalized ordered logit model was used in Stata 11.0 to explore the complex mechanism of truck-related accidents in different areas. Data were obtained from The Trucks in Fatal Accidents database (TIFA). The Akaike Information Criterion (AIC) indicates that the model used in this paper is superior to traditional ordered logit model. The results showed that 9 variables affect the vehicle damage level in a fatal crash in both areas but with different directions. Furthermore, 23 indicators significantly affect the disabling damage in the same manner. Also, there are factors that are significant solely in one area and not in the other: 12 in rural and 2 in urban areas.
机译：涉及大型卡车的事故常常导致致命的后果。无辜者被杀害是全球公认的交通安全最大的问题和挑战之一。尽管对与卡车有关的事故的危险因素进行了广泛研究，但对死亡的影响却很少或根本没有引起注意，尤其是分别考虑到农村和城市地区。在这项研究中，在Stata 11.0中使用了广义有序logit模型来探讨不同地区卡车相关事故的复杂机制。数据来自致命事故卡车数据库（TIFA）。 Akaike信息准则（AIC）表明，本文使用的模型优于传统的有序logit模型。结果表明，在两个区域但方向不同的致命碰撞中，有9个变量会影响车辆的损坏程度。此外，有23项指标以同样的方式极大地影响了致残性损害。而且，有些因素仅在一个区域中有意义，而在另一区域则不重要：农村地区为12，城市地区为2。

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