A Meta-Analysis of psychological characteristics and driving behavior in order to provide a future roadmap for police in traffic accident prevention

Subject Areas : Futurology

parviz fadakar Gabalou ¹ , Mehdi Molaei Yasavi ² , seyed moslem moosavi panah ³

1 - Allameh Tabatabai University of Tehran
2 - Allameh Tabatabai University of Tehran
3 - Faculty Member, Amin University of Law Enforcement Sciences

Received: 2021-09-19 Accepted : 2021-11-06 Published : 2022-11-22

Keywords: Index I2, Q index, driving behavior, traffic accidents, Psychological characteristics, meta-analysis,

Abstract :

Background: Because policy prioritization is limited by existing capacities. Therefore, it is necessary to conduct a comprehensive study that examines the role of psychological variables in driving behavior. Objective: This research aims to use new research methods, under the title of meta-analysis, to analyze and combine the results of research in the field of driving behavior and psychological characteristics in order to provide a roadmap for the prevention of traffic accidents. Methods: The statistical population of this study is the research on driving behavior between the years 89 to 99. Exact information on their number was not available and 25 studies on driving behavior were selected. The research method of this research is meta-analysis method. Findings: All these researches were analyzed in terms of effect size and Pearson r index was used to calculate the effect size. Analysis of the results of the research using a random effects model showed that the total effect size of the psychological variables affecting driving behavior was 0.32. Also, the heterogeneity of the results using Q and I2 indices showed that there is no significant difference between the size of the effects obtained in different studies. Conclusion: It is suggested that in order to prevent traffic accidents, special attention should be paid to the psychological characteristics of drivers and to provide a driving competency along with written tests and driving skills, a tool should be used to assess the psychological characteristics of drivers. Develop scientific programs to improve the psychological characteristics of high-risk drivers.

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Background: Because policy prioritization is limited by existing capacities. Therefore, it is necessary to conduct a comprehensive study that examines the role of psychological variables in driving behavior.
Objective: This research aims to use new research methods, under the title of meta-analysis, to analyze and combine the results of research in the field of driving behavior and psychological characteristics in order to provide a roadmap for the prevention of traffic accidents.
Methods: The statistical population of this study is the research on driving behavior between the years 89 to 99. Exact information on their number was not available and 25 studies on driving behavior were selected. The research method of this research is meta-analysis method.
Findings: All these researches were analyzed in terms of effect size and Pearson r index was used to calculate the effect size. Analysis of the results of the research using a random effects model showed that the total effect size of the psychological variables affecting driving behavior was 0.32. Also, the heterogeneity of the results using Q and I2 indices showed that there is no significant difference between the size of the effects obtained in different studies.
Conclusion: It is suggested that in order to prevent traffic accidents, special attention should be paid to the psychological characteristics of drivers and to provide a driving competency along with written tests and driving skills, a tool should be used to assess the psychological characteristics of drivers. Develop scientific programs to improve the psychological characteristics of high-risk drivers.