The Method for Evaluation of Driver’s Risky Traffic Behaviour: Validation in the Russian Sample

 
Audio is AI-generated
543

Abstract

Objectives. The purpose of the article is approbation the method for evaluation of drivers’ risky traffic behaviour, its structure and main patterns. Background. Psychological research of risky traffic behaviour of drivers is especially acute. It is a very important to measure and identify the features of the traffic behaviour of drivers as high-risk behaviour. In this context, the study of risky traffic behaviour is of particular interest. Study design. The structure and patterns of risky traffic behavior of three groups of Russian drivers with different driving experience were studied. It was using a special questionnaire for evaluation of patterns of risky traffic behaviour of drivers, which has been implemented in Traffic Offenders Prevention Program in Estonia. The data analysis used comparative, correlation and exploratory factor analysis. Participants. 398 drivers with various driving experience, including: 114 — novice drivers; 80 — taxi drivers; 204 — drivers of commercial transportation. Measurements. The structure of drivers’ risky traffic behaviour was studied using a special questionnaire “Traffic Risk Evaluation Model” (Meinhard G., 2018), that includes AUDIT (Babor T., Hig¬gins-Biddle J., Saunders J., Monteiro, 2010). Results. Data on the structure of drivers risky traffic behaviour was obtained. It was found that this structure includes three main patterns: “Attitudes towards alcohol and drunk driving”, “Proneness to violations of law” and “Evaluation of risks and threats in the course of driving”. Correlations were found between patterns of risky traffic behaviour and road accident rates. Conclusions. The research has shown that the consideration of drivers’ risky traffic behaviour structure can become a promising area of research required in the psychological practice of road crash prevention.

General Information

Keywords: traffic psychology, risky traffic behaviour, road safety, screening diagnostics, AUDIT, driving under the influence (DUI)

Journal rubric: Methodological Tools

OpenAlex citations: 4

OpenAlex trends: Traffic and Road Safety, Transportation Systems and Logistics, Healthcare Systems and Public Health

Information about the work in OpenAlex

Number of citations: 4

Topics

Traffic and Road Safety

This cluster of papers focuses on the analysis of traffic safety, driver behavior, and injury severity in road accidents. It covers topics such as crash prediction models, risk factors for traffic accidents, pedestrian safety, spatial analysis of road accidents, and the impact of traffic congestion on road safety.

Number of works: 100112  |  Total number of citations: 1009701

Topic detailsв OpenAlex

Transportation Systems and Logistics

This cluster of papers focuses on the development and improvement of traffic safety systems and infrastructure, including intelligent transportation systems, road infrastructure, vehicle diagnostics, traffic management, and the environmental impact of transportation. It addresses topics such as accident reconstruction, digital technologies in transportation, and the impact of operational factors on environmental safety.

Number of works: 24013  |  Total number of citations: 38397

Topic detailsв OpenAlex

Healthcare Systems and Public Health

This cluster of papers focuses on the epidemiology, risk factors, prevention, and mortality trends of cardiovascular diseases in Russia. It includes studies on the prevalence of non-communicable disease risk factors, occupational health risks in the Arctic population, economic burden, and healthcare policy related to cardiovascular health.

Number of works: 108398  |  Total number of citations: 153819

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/sps.2020110313

Funding. This work was supported by financial support for the project “Approbation of psychological screening methods for drivers prone to risky traffic behaviour”, carried out by MSUPE.

Published

For citation: Kochetova, T.V., Meinhard, G. (2020). The Method for Evaluation of Driver’s Risky Traffic Behaviour: Validation in the Russian Sample. Social Psychology and Society, 11(3), 196–210. (In Russ.). https://doi.org/10.17759/sps.2020110313

© Kochetova T.V., Meinhard G., 2020

License: CC BY-NC 4.0

References

1. Analiticheskii material po sostoyaniyu taksomotornoi otrasli v Rossii s tochki zreniya

Information About the Authors

Tatiana V. Kochetova, Candidate of Science (Psychology), Associate Professor, Department of Management Psychology, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-0746-680X, e-mail: kochetovatv@gmail.com

Gunnar Meinhard, Doctor of Psychology, Managing Partner, Head, TMÜ “Trafity OÜ”, Tartu, Estonia, ORCID: https://orcid.org/0000-0001-5607-5341, e-mail: gunnar.meinhard@gmail.com

Metrics

 Web Views

Whole time: 1589
Previous month: 19
Current month: 18

 PDF Downloads

Whole time: 543
Previous month: 7
Current month: 8

 Total

Whole time: 2132
Previous month: 26
Current month: 26