农村和城市道路上不同照明条件下涉及卡车碰撞的伤害严重程度分析
Truck-Involved Crashes Injury Severity Analysis for Different Lighting Conditions on Rural and Urban Roadways
AI总结：
本研究利用俄亥俄州碰撞数据，通过六个混合logit模型分析不同照明和区域条件下卡车碰撞伤害严重程度，发现照明和区域类型显著影响伤害因素。
摘要：
本文研究了在农村和城市道路上不同照明条件下涉及卡车的碰撞中影响伤害严重程度的因素。它使用了来自高速公路安全信息系统的2009-2013年俄亥俄州碰撞数据。解释因素包括乘员、车辆、碰撞、道路、时间和环境特征。开发了六个独立的混合logit模型，考虑了两种区域类型（农村和城市）上的三种照明条件（白天、黑暗和黑暗照明）。进行了一系列对数似然比检验，以验证这六个按照明条件和区域类型划分的独立模型是合理的。模型结果表明，每个模型中包含的变量的组合和影响幅度都存在重大差异。一些变量仅在一种照明条件下显著，而在其他条件下不显著。同样，一些变量在一种区域类型中显著，而在其他区域类型中不显著。这些差异表明，不同的照明条件和区域类型确实对涉及卡车的碰撞中的伤害严重程度有不同的影响，进一步强调了基于照明条件在农村和城市道路上检查碰撞的重要性。乘员的年龄和性别（在碰撞中受伤最严重的人）、卡车类型、AADT、速度和天气条件被发现是对涉及卡车的碰撞中伤害严重程度有显著不同影响程度的因素。
英文摘要：
This paper investigates factors affecting injury severity of crashes involving trucks for different lighting conditions on rural and urban roadways. It uses 2009-2013 Ohio crash data from the Highway Safety Information System. The explanatory factors include the occupant, vehicle, collision, roadway, temporal and environmental characteristics. Six separate mixed logit models were developed considering three lighting conditions (daylight, dark, and dark-lighted) on two area types (rural and urban). A series of log-likelihood ratio tests were conducted to validate that these six separate models by lighting conditions and area types are warranted. The model results suggest major differences in both the combination and the magnitude of impact of variables included in each model. Some variables were significant only in one lighting condition but not in other conditions. Similarly, some variables were found to be significant in one area type but not in other area type. These differences show that the different lighting conditions and area types do in fact have different contributing effects on injury severity in truck-involved crashes, further highlighting the importance of examining crashes based on lighting conditions on rural and urban roadways. Age and gender of occupant (who is the most severely injured in a crash), truck types, AADT, speed, and weather condition were found to be factors that have significantly different levels of impact on injury severity in truck-involved crashes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
