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Safety Impacts of SUVs, Vans, and Pickup Trucks in Two-Vehicle Crashes

机译:SUV,货车和轻型货车在两车祸中的安全影响

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Policy makers, vehicle manufacturers, and consumers have shown growing concern about the relative safety of sport utility vehicles (SUVs), vans, pickups, and cars. Empirical analysis of real-world crashes is complicated by the possibility that apparent relationships between vehicle type and safety may be confounded by other factors, such as driver behavior and crash circumstances. This study compares different vehicle types with respect to their crashworthiness (self-protection) and aggressivity (risk to others) in crashes between two passenger vehicles. The U.S. Crashworthiness Data System is used to analyze detailed information on 6,481 drivers involved in crashes during 1993-1999. Logistic regression analysis is used to model the risk of serious injury or death to a driver, conditional on a crash occurring. Covariates include the body type of each vehicle in the crash; the driver's age, gender, and restraint use; and the configuration of the crash. A unique feature of this study is the use of "delta-v" to represent the joint effects of vehicle mass and crash severity. While estimated effects are somewhat sensitive to the injury severity level used as the outcome variable, SUVs, vans, and pickups appear to be more aggressive and may be more crashworthy than cars. Effects of pickups are most pronounced. Drivers in pickups face less risk of serious injury than car drivers (odds ratio [OR], 0.35; 95% confidence interval [CI], 0.20-0.60), and drivers who collide with pickups experience more than twice the risk than those who collide with a car (OR, 2.18; 95% CI, 1.03-4.62). While vehicle mass and crash severity contribute to the apparent crashworthiness and aggressivity of passenger vehicles, other vehicle characteristics associated with body type (e.g., the stiffness and height of the underlying structure of the vehicle) also influence safety risks.
机译:政策制定者,车辆制造商和消费者越来越关注运动型多功能车(SUV),货车,皮卡车和小汽车的相对安全性。现实世界中的碰撞事故的经验分析很复杂,因为车辆类型与安全性之间的明显关系可能会与其他因素(例如驾驶员行为和碰撞情况)混淆。这项研究比较了两种类型的车辆在两次乘用车之间发生碰撞时的耐撞性(自我保护)和攻击性(对他人有风险)。美国坠毁数据系统用于分析1993-1999年期间发生的6 481名撞车驾驶员的详细信息。 Logistic回归分析用于对发生严重撞车事故的驾驶员造成重伤或死亡的风险进行建模。协变量包括碰撞中每辆车的车身类型;驾驶员的年龄,性别和约束条件;以及崩溃的配置。这项研究的独特之处在于使用“ delta-v”来代表车辆质量和碰撞严重程度的共同影响。尽管估计的效果对用作结果变量的伤害严重性水平较为敏感,但SUV,货车和皮卡车似乎更具攻击性,而且比汽车更耐撞性。拾音器的效果最为明显。皮卡中的驾驶员面临的严重伤害风险要比汽车驾驶员要小(赔率[OR]为0.35; 95%置信区间[CI]为0.20-0.60),与皮卡相撞的驾驶员所遭受的危险比相撞的驾驶员高两倍以上。 (OR,2.18; 95%CI,1.03-4.62)。尽管车辆的质量和碰撞严重程度有助于客车的明显的耐撞性和侵略性,但与车身类型相关的其他车辆特性(例如,车辆底层结构的刚度和高度)也会影响安​​全风险。

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