Abstract：
Distracted driving is a threat to traffic safety that can result in more traffic crashes. Although previous studies have been conducted to explore the relationship between driver distraction and hazardous driving actions, few studies are available to identify the causation between them. Thus, the study intended to evaluate the causal effects of distraction on hazardous driving actions at intersections based on the crash data extracted from the Crash Report Sampling System (2021-2022). The multinomial logit model was employed to reveal the factors contributing to driver distraction. Then, propensity score weighting was adopted to balance the factor distributions between distraction and non-distraction cases to identify the causal effects on hazardous actions. Results indicated that 1) the propensity of distraction is relevant to factors such as the driver\'s age, gender, vehicle type, speed limit, area, weather, and light condition, 2) driver distraction can significantly increase the probability of risky actions including speeding, running red lights, failing to obey stop signs, failing to yield, following too closely, and 3) the causal effects show great diversity for different distraction types. The findings serve to understand the influence mechanism of distraction on specific crash risks and develop countermeasures to reduce distraction and hazardous driving actions.
摘要：
分心驾驶是对交通安全的威胁，可能导致更多的交通事故。尽管先前的研究已经进行了探索驾驶员分心与危险驾驶行为之间的关系，很少有研究可以确定它们之间的因果关系。因此，该研究旨在基于从碰撞报告采样系统（2021-2022）中提取的碰撞数据，评估分心对交叉路口危险驾驶行为的因果影响。采用多项Logit模型来揭示导致驾驶员分心的因素。然后，采用倾向评分加权来平衡分心和非分心病例之间的因子分布,以确定对危险行为的因果影响.结果表明，1)分心的倾向与司机的年龄等因素有关，性别,车辆类型,限速,area,天气,和光线条件，2）驾驶员分心会大大增加包括超速在内的危险行为的可能性，闯红灯,不遵守停车标志，未能屈服，紧随其后，3)不同分心类型的因果效应表现出很大的多样性。研究结果有助于了解分心对特定碰撞风险的影响机制，并制定减少分心和危险驾驶行为的对策。
