Islam Mouyid
Virginia Tech, Blacksburg, VA 24061, United States.
Accid Anal Prev. 2024 Mar;196:107444. doi: 10.1016/j.aap.2023.107444. Epub 2024 Jan 1.
Distracted driving poses a significant risk on the roadway users, with the level of distraction and crash outcomes varying depending on the type of vehicle. Drivers of passenger cars, sport utility vehicles (SUVs), pickup trucks, minivans experience distinct levels of distraction, leading to potential crashes. This study investigates into the severity of driver injuries resulting from distracted driving in these vehicle categories, shedding light on the variations in single-vehicle crashes. Focusing on single-vehicle crashes in Florida during 2019, involving passenger cars, SUVs, pickup trucks, and minivans caused by distracted driving, the study examines various distractions such as, electronic communication devices (cell phones), electronic devices (navigation systems, music players), internal and external disturbances, texting, and inattentive driving. To analyze the severity of injuries resulting from distracted driving in passenger cars, SUVs, pickup trucks, and minivans, the study employs random parameter multinomial logit models with heterogeneity in means and variances. The model estimates highlight thirty-five significant factors influencing the severity of driver injuries resulting from distracted driving. Notably, the impact of these factors varies significantly depending on the vehicle type (i.e., passenger cars, SUVs, pickup trucks, and minivans). While many explanatory variables are specific to each vehicle type, only one factor (restraint belt usage) is common across all vehicle types, with varying magnitudes in injury outcomes. The likelihood ratio tests indicate that injury severity must be analyzed and modeled separately for passenger cars, SUVs, pickup trucks, and minivans. Vehicle characteristics play a crucial role in driver distraction and crash outcomes. Analyzing a year of crash data, categorized by four vehicle types, has provided valuable insights into distracted driving patterns in passenger cars, SUVs, pickup trucks, and minivans, influencing potential prevention strategies. To combat against distracted driving effectively, priority should be given to driver education and training, roadway design, vehicle technology, enforcement, and automobile insurance. The automobile industry, especially for passenger cars, SUVs, pickup trucks, and minivans, should consider implementing advanced in-vehicle technologies tailored to the specific characteristics of each vehicle type (e.g., advanced driver assistance systems (ADAS)) to proactively prevent driver distraction. These proactive measures will contribute significantly to enhancing road safety and reducing the risks associated with distracted driving.
分心驾驶对道路使用者构成重大风险,分心程度和撞车后果因车辆类型而异。乘用车、运动型多用途汽车(SUV)、皮卡、小型货车的驾驶员经历不同程度的分心,从而导致潜在撞车事故。本研究调查了这些车辆类别中因分心驾驶导致的驾驶员受伤严重程度,揭示了单车撞车事故中的差异。该研究聚焦于2019年佛罗里达州发生的单车撞车事故,这些事故涉及因分心驾驶导致的乘用车、SUV、皮卡和小型货车,研究考察了各种分心因素,如电子通信设备(手机)、电子设备(导航系统、音乐播放器)、内部和外部干扰、发短信以及注意力不集中驾驶。为了分析乘用车、SUV、皮卡和小型货车因分心驾驶导致的受伤严重程度,该研究采用了均值和方差具有异质性的随机参数多项logit模型。模型估计突出了35个影响分心驾驶导致驾驶员受伤严重程度的重要因素。值得注意的是,这些因素的影响因车辆类型(即乘用车、SUV、皮卡和小型货车)而异。虽然许多解释变量特定于每种车辆类型,但只有一个因素(安全带使用情况)在所有车辆类型中都存在,且对受伤后果的影响程度不同。似然比检验表明,必须分别针对乘用车、SUV、皮卡和小型货车分析和建模受伤严重程度。车辆特性在驾驶员分心和撞车后果中起着关键作用。分析按四种车辆类型分类的一年撞车数据,为乘用车、SUV、皮卡和小型货车的分心驾驶模式提供了有价值的见解,影响潜在的预防策略。为了有效应对分心驾驶,应优先考虑驾驶员教育和培训、道路设计、车辆技术、执法以及汽车保险。汽车行业,尤其是针对乘用车、SUV、皮卡和小型货车的行业,应考虑实施针对每种车辆类型特定特性量身定制的先进车载技术(如先进驾驶辅助系统(ADAS)),以主动预防驾驶员分心。这些积极措施将对提高道路安全和降低与分心驾驶相关的风险做出重大贡献。