SHS Web Conf.
Volume 40, 20186th International Interdisciplinary Scientific Conference SOCIETY. HEALTH. WELFARE
|Number of page(s)||8|
|Published online||31 January 2018|
Prediction for driving behaviour in connection with socio – demographic characteristics and individual value system
Rīga Stradiņš University, Riga, Latvia
The aim of research „prediction for driving behaviour in connection with socio – demographic characteristics and individual value system” was to examine characteristics of individual value system prediction for driving behavior. It raised fundamental question for the research: 1. which of the individual value system characteristics predict driving behavior controlling gender and age.
In the study 108 respondentsparticipated, 40 (37.0%) men and 68 (63.0%) women who filled the questionnaire on the Internet. Two questionnaires were used – „Latvian driving behavior survey” , the value and levels of availability relations in different spheres of life” [2, 3].
The results showed that the value system integrity / disintegrity indicator predicts distracted driving, explains 18% of variation and is statistically significantly. Internal vacuum and age statistically significantly negatively predicts risky driving explaining 17% of variation. Age statistically significantly predicts safe and courteous driving, explains 12% of variation. Value system integrity / disintegrity indicator and gender, statistically significantly negatively predicts summary indicator of dangerous driving explain 22% of variation. Age statistically significantly negatively predicts distracted driving, explains 30% of variation.
The results can serve as the basis to create new driving behavior interventions and also applicable to psychologist's professional work, when counseling individuals of this group, as well as can be used in the future development of the field, science and research.
Key words: aggressive driving / distracted driving / driving behavior / individual values / risky driving / safe driving
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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