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The risk of fatal injury associated with light trucks during two-vehicle crashes: Estimating equations and conditional maximum likelihood analyses of matched-pair cohort data.

机译:轻型卡车在两车相撞期间可能导致致命伤害的风险:配对队列数据的估计方程式和条件最大似然分析。

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摘要

The purpose of this study was to estimate the extent to which light trucks influence the risk of fatal injury to drivers of passenger cars when light trucks and cars are involved in severe collisions. A matched-pair cohort design was applied to data from the Fatality Analysis Reporting System for years 1995 through 2001. Data were modeled with a Mantel-Haenszel tabular method, estimating equations risk ratio models, conditional maximum likelihood Poisson models, and conditional maximum likelihood logistic models.;Estimated risk ratios, comparing fatality risks for car drivers with those for light truck drivers, increased as the disparity in vehicle size increased.;Also positively associated with driver death risk were higher age, alcohol use, female sex, absence of seat belt use, air bag non-deployment, and impact to the left or right side of vehicle.;Despite the fact that both passenger cars and light trucks generally perform well in crash tests, this study found that car drivers experienced a strikingly higher risk of death when the two vehicle types were involved in traffic collisions in the US. The marked differences in driver fatality risks are likely attributable to a severe incompatibility due to physical and design differences between cars and light trucks. It appears that passenger cars do not protect car occupants as intended because of the marked differences in the physical characteristics of the vehicles. Car safety features, such as crumple zones, may not perform correctly during collisions with light trucks. Efforts should be made to reduce the design incompatibilities that exist between the numerous types of passenger vehicles produced for the US market.
机译:这项研究的目的是估计当轻型卡车与汽车发生严重碰撞时,轻型卡车对乘用车司机致命伤害的危险程度。配对对队列设计应用于1995年至2001年的“死亡分析报告”系统中的数据。使用Mantel-Haenszel表格方法,估计方程风险比模型,条件最大似然Poisson模型和条件最大似然Logistic建模数据模型;随着汽车尺寸差异的增加,将汽车司机和轻型卡车司机的死亡风险进行比较的估计风险比增加了;还与驾驶员死亡风险呈正相关,包括年龄增长,饮酒,女性,无座位安全带的使用,安全气囊的未展开以及对车辆左侧或右侧的影响。尽管事实上,乘用车和轻型卡车在碰撞测试中均表现良好,但该研究发现,汽车驾驶员遭受撞击的风险明显更高。当这两种类型的车辆在美国发生交通事故时死亡。驾驶员死亡风险的显着差异可能是由于轿车与轻型卡车之间在物理和设计上的差异而导致的严重不兼容。由于车辆的物理特性明显不同,因此乘用车似乎不能按预期保护乘员。与轻型卡车相撞期间,汽车安全功能(例如,压皱区域)可能无法正确执行。应努力减少为美国市场生产的多种类型乘用车之间存在的设计不兼容性。

著录项

  • 作者

    Rice, Thomas Matthew.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Public health.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 88 p.
  • 总页数 88
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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