Abstract

Truck-related crashes in the work zones always resulted in severe injury outcomes. This paper analyses the injury severity of truck-involved crashes in the work zones based on a ten-year (2005–2014) data collected in North Carolina. A wide range of variables is considered, including the driver, environmental, work-zone, road, and vehicle characteristics. The mixed logit (MXL) and partial proportional odds (PPO) logit models are employed to investigate the potential unobserved heterogeneity associated with the indicator of urban and rural highways. A comparison of the two models shows that PPO outperforms the MXL model. The estimation results showed that contributing factors resulting in injury-severity levels of work zones crashes involving trucks on rural and urban highways are significantly different. Elasticity effects are provided and used to evaluate the significance of the variables in the rural and urban models. The findings of this study help understand the injury-severity outcomes in truck-involved crashes in the rural and urban work zones.

摘要

工作区内与卡车相关的碰撞事故总是会导致严重的伤害后果。本文根据在北卡罗来纳州收集的十年（2005-2014 年）数据分析了工作区卡车相关事故的伤害严重程度。考虑了广泛的变量，包括驾驶员、环境、工作区、道路和车辆特性。混合逻辑 (MXL) 和部分比例优势 (PPO) 逻辑模型用于研究与城市和农村公路指标相关的潜在的未观察到的异质性。两种模型的比较表明 PPO 优于 MXL 模型。估计结果表明，导致农村和城市高速公路上涉及卡车的工作区碰撞伤害严重程度的影响因素有显着差异。提供并使用弹性效应来评估农村和城市模型中变量的显着性。这项研究的结果有助于了解农村和城市工作区卡车相关事故的伤害严重程度。