Institutional Repository of Key Laboratory of Behavioral Science, CAS
The association between the Big Five personality traits and driving behaviors: A systematic review and meta-analysis | |
Xiaohui Luo1,2; Yan Ge1,3; Weina Qu1,3 | |
第一作者 | Xiaohui Luo |
通讯作者 | Qu, Weina([email protected]) |
通讯作者邮箱 | [email protected] (w. qu) |
摘要 | Although a large number of studies have examined the relationship between the Big Five personality traits and driving behaviors, consistent evidence for their relationships is still lacking. The main purpose of this study was to systematically review the relationships between the Big Five personality traits and various driving behaviors with different intentions (including risky, aggressive, and positive driving behaviors) through a meta-analysis. A total of 34 articles met the inclusion criteria for the meta-analysis. The results showed that risky and aggressive driving behaviors were negatively associated with conscientiousness (r=-0.21; r=-0.26), agreeableness (r=-0.23; r=-0.37), and openness (r=-0.08; r=-0.07), positively associated with neuroticism (r=0.11; r=0.26), and nonsignificantly associated with extraversion (r=0.06; r=-0.06). Positive driving behaviors were positively associated with conscientiousness (r=0.30), agreeableness (r=0.32) and openness (r=0.20) but nonsignificantly associated with extraversion (r=0.08) and neuroticism (r=-0.10). In addition, the association between the Big Five personality traits and driving behaviors could be moderated by age, gender and type of personality measure. In conclusion, this study contributes to the literature by quantitatively synthesizing existing findings and reconciling previous debates on the relationship between the Big Five personality traits and driving behaviors. From a practical perspective, our findings provide valuable insights into driver selection and screening, policy development, and safety intervention design. |
关键词 | Big Five personality traits Positive driving Meta-analysis Risky driving Aggressive driving |
2023 | |
语种 | 英语 |
DOI | 10.1016/j.aap.2023.106968 |
发表期刊 | Accident Analysis and Prevention |
ISSN | 0001-4575 |
卷号 | 183页码:20 |
期刊论文类型 | 实证研究 |
收录类别 | SSCI |
资助项目 | National Key R & D Program of China[2021YFC3001500] ; National Natural Sci- ence Foundation of China[32071064] ; National Natural Sci- ence Foundation of China[32071066] ; National Natural Sci- ence Foundation of China[32271132] ; National Natural Sci- ence Foundation of China[71971073] ; National Natural Sci- ence Foundation of China[31771225] |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS关键词 | PSYCHOMETRIC ADAPTATION ; SENSATION SEEKING ; DRIVER BEHAVIOR ; 5-FACTOR MODEL ; ANGER ; RISKY ; PREDICTORS ; OUTCOMES ; SELF ; INVENTORY |
WOS研究方向 | Engineering ; Public, Environmental & Occupational Health ; Social Sciences - Other Topics ; Transportation |
WOS类目 | Ergonomics ; Public, Environmental & Occupational Health ; Social Sciences, Interdisciplinary ; Transportation |
WOS记录号 | WOS:000995449900001 |
Q分类 | Q1 |
资助机构 | National Key R & D Program of China ; National Natural Sci- ence Foundation of China |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/44386 |
专题 | 中国科学院行为科学重点实验室 |
作者单位 | 1.CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China 2.Faculty of Psychology, Beijing Normal University, Beijing, China 3.Department of Psychology, University of Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 中国科学院行为科学重点实验室 |
推荐引用方式 GB/T 7714 | Xiaohui Luo,Yan Ge,Weina Qu. The association between the Big Five personality traits and driving behaviors: A systematic review and meta-analysis[J]. Accident Analysis and Prevention,2023,183:20. |
APA | Xiaohui Luo,Yan Ge,&Weina Qu.(2023).The association between the Big Five personality traits and driving behaviors: A systematic review and meta-analysis.Accident Analysis and Prevention,183,20. |
MLA | Xiaohui Luo,et al."The association between the Big Five personality traits and driving behaviors: A systematic review and meta-analysis".Accident Analysis and Prevention 183(2023):20. |
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