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驾驶员损伤严重程度:有序概率单位模型的一种应用

Driver injury severity: an application of ordered probit models.

作者信息

Kockelman Kara Maria, Kweon Young-Jun

机构信息

The University of Texas at Austin, 78712-1076, USA.

出版信息

Accid Anal Prev. 2002 May;34(3):313-21. doi: 10.1016/s0001-4575(01)00028-8.

DOI:10.1016/s0001-4575(01)00028-8
PMID:11939360
Abstract

This paper describes the use of ordered probit models to examine the risk of different injury levels sustained under all crash types, two-vehicle crashes, and single-vehicle crashes. The results suggest that pickups and sport utility vehicles are less safe than passenger cars under single-vehicle crash conditions. In two-vehicle crashes, however, these vehicle types are associated with less severe injuries for their drivers and more severe injuries for occupants of their collision partners. Other conclusions also are presented; for example. the results indicate that males and younger drivers in newer vehicles at lower speeds sustain less severe injuries.

摘要

本文描述了使用有序概率模型来研究在所有碰撞类型、两车碰撞和单车碰撞中遭受不同伤害程度的风险。结果表明,在单车碰撞情况下,皮卡和运动型多用途汽车比乘用车更不安全。然而,在两车碰撞中,这些车型的驾驶员受伤程度较轻,而其碰撞对象的乘客受伤程度较重。还给出了其他结论;例如,结果表明,驾驶较新车辆、车速较低的男性和年轻驾驶员受伤程度较轻。

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