Citation

Zhang T, Chan AH. Accid. Anal. Prev. 2016; 90: 50-62.

Affiliation

Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong. Electronic address: alan.chan@cityu.edu.hk.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.aap.2016.02.009

PMID

26918282

Abstract

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.

Language: en