Zhang Tingru, Chan Alan H S
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong.
Accid Anal Prev. 2016 May;90:50-62. doi: 10.1016/j.aap.2016.02.009. Epub 2016 Feb 23.
Through the use of meta-analysis, this study investigated the relationships between driving anger and five types of driving outcomes (aggressive driving, risky driving, driving errors, near misses and accidents). The moderating effects of three variables (age, study publication year, and participants' country of origin) on these relationships were also examined. A total of 51 studies published over the past two decades met the inclusion criteria for the meta-analysis. The results showed that driving anger significantly predicted all three types of aberrant driving, with zero-order correlations of 0.312, 0.243, and 0.179 with aggressive driving, risky driving and driving errors, respectively. The correlations between driving anger and accident-related conditions, though at relatively weaker levels, were still statistically significant. Tests for effects of the moderating variables suggested that driving anger was a stronger predictor of risky driving among young drivers than among old drivers. Also, the anger-aggression association was found to decrease over time and vary across countries. The implications of the results and the directions for future research are discussed.
通过荟萃分析，本研究调查了驾驶愤怒与五种驾驶结果（攻击性驾驶、危险驾驶、驾驶失误、险些相撞和事故）之间的关系。还考察了三个变量（年龄、研究发表年份和参与者的原籍国）对这些关系的调节作用。过去二十年发表的51项研究符合荟萃分析的纳入标准。结果表明，驾驶愤怒显著预测了所有三种异常驾驶类型，与攻击性驾驶、危险驾驶和驾驶失误的零阶相关系数分别为0.312、0.243和0.179。驾驶愤怒与事故相关情况之间的相关性虽然相对较弱，但仍具有统计学意义。调节变量效应检验表明，与老年驾驶员相比，驾驶愤怒对年轻驾驶员危险驾驶的预测更强。此外，还发现愤怒与攻击性之间的关联随时间推移而减弱，且因国家而异。文中讨论了研究结果的意义和未来研究的方向。
