Road rage in China: An exploratory study

This study consisted of a stated-preference questionnaire survey to investigate road rage among Chinese drivers. A total of 5157 Chinese drivers completed the survey. The Driving Anger Scale (DAS) and Driving Anger Expression Inventory (DAX) were used to measure road rage under various anger-provoking situations. Meanwhile, the theory of planned behavior (TPB) was adopted to explore respondents' attitudinal perception towards road rage behaviors. Three TPB variables, i.e., behavioral attitude (BA), subjective norm (SN), and perceived behavioral control (PBC), were used to describe drivers' perceived anger levels, driving habits, self-efficacy, and perceived controllability of road rage, respectively. Additionally, aggressive reaction (AR) was introduced to describe drivers' inclination to express road rage. Then, descriptive analyses were performed to examine the connection between individual characteristics on road rage. Results exhibited these variables have different between-group correlation and significant relationships with gender, age group, education, driving years, professional or not, daily driving hours, and vehicle type. Also, outcomes from structural equation models (SEMs) demonstrated that the above four descriptive variables in the modified TPB model could be linked to drivers' intention to exhibit road rage behaviors. Finally, countermeasures for controlling and curing road rage were proposed based on the findings.

本研究通过一项陈述偏好问卷调查来研究中国驾驶员的路怒情况。共有5157名中国驾驶员完成了此项调查。采用驾驶愤怒量表（DAS）和驾驶愤怒表达量表（DAX）来测量各种引发愤怒的情境下的路怒情况。同时，运用计划行为理论（TPB）来探究受访者对路怒行为的态度认知。计划行为理论的三个变量，即行为态度（BA）、主观规范（SN）和感知行为控制（PBC），分别用于描述驾驶员感知到的愤怒程度、驾驶习惯、自我效能以及对路怒的感知可控性。此外，引入攻击性反应（AR）来描述驾驶员表达路怒的倾向。然后，进行描述性分析以检验个体特征与路怒之间的联系。结果显示，这些变量在组间存在不同的相关性，并且与性别、年龄组、教育程度、驾驶年限、是否为职业驾驶员、每日驾驶时长以及车辆类型存在显著关系。而且，结构方程模型（SEMs）的结果表明，修正后的计划行为理论模型中的上述四个描述性变量可能与驾驶员表现出路怒行为的意图相关。最后，根据研究结果提出了控制和解决路怒问题的对策。