Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic Psychology

This paper focuses on the statistical evaluation of two independent research tools in the field of traffic psychology. Our research focuses on young drivers in the Slovak Republic and conducts an international comparison. At present, these young drivers make up only about 7% of the total number of d...

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Main Authors: Kristián Čulík, Alica Kalašová
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/4/433
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author Kristián Čulík
Alica Kalašová
author_facet Kristián Čulík
Alica Kalašová
author_sort Kristián Čulík
collection DOAJ
description This paper focuses on the statistical evaluation of two independent research tools in the field of traffic psychology. Our research focuses on young drivers in the Slovak Republic and conducts an international comparison. At present, these young drivers make up only about 7% of the total number of drivers, but they cause about 20% of accidents. The paper analyzes the traffic accident rate of young as well as inexperienced drivers. All drivers in the survey had a short period of driving experience. The traffic-psychological survey obtained detailed data via two independent tools. We aimed to find relations between the factors and subfactors of the tools used, namely the BIS-11 (Barratt Impulsiveness Scale) and DAQ (Driver Attitude Questionnaire). The researchers also used these tools in other countries, so it was possible to compare the results obtained. The results from these tools should reveal the psychological causes of as many traffic accidents as possible. Our paper shows the possibilities for the evaluation of the tools used with correlation analysis. The results of our research are shown in symmetrical matrixes of correlation coefficients. Our study also compares its values with the results of foreign authors. Such research has revealed some facts about young drivers’ violations connected with drunk driving, speeding, and other traffic offenses. Our aim was to find connections between the driver’s history (skills, traffic accidents, age, etc.) and psychological characteristics, and we have answered several research questions. In conclusion, we have highlighted the most significant relationships between the factors of driver psychology.
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spelling doaj.art-91b510ea0c9f4725b2df11762476f39b2023-12-11T17:58:24ZengMDPI AGMathematics2227-73902021-02-019443310.3390/math9040433Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic PsychologyKristián Čulík0Alica Kalašová1Department of Road and Urban Transport, University of Žilina, Univerzitná 1, 01026 Žilina, SlovakiaDepartment of Road and Urban Transport, University of Žilina, Univerzitná 1, 01026 Žilina, SlovakiaThis paper focuses on the statistical evaluation of two independent research tools in the field of traffic psychology. Our research focuses on young drivers in the Slovak Republic and conducts an international comparison. At present, these young drivers make up only about 7% of the total number of drivers, but they cause about 20% of accidents. The paper analyzes the traffic accident rate of young as well as inexperienced drivers. All drivers in the survey had a short period of driving experience. The traffic-psychological survey obtained detailed data via two independent tools. We aimed to find relations between the factors and subfactors of the tools used, namely the BIS-11 (Barratt Impulsiveness Scale) and DAQ (Driver Attitude Questionnaire). The researchers also used these tools in other countries, so it was possible to compare the results obtained. The results from these tools should reveal the psychological causes of as many traffic accidents as possible. Our paper shows the possibilities for the evaluation of the tools used with correlation analysis. The results of our research are shown in symmetrical matrixes of correlation coefficients. Our study also compares its values with the results of foreign authors. Such research has revealed some facts about young drivers’ violations connected with drunk driving, speeding, and other traffic offenses. Our aim was to find connections between the driver’s history (skills, traffic accidents, age, etc.) and psychological characteristics, and we have answered several research questions. In conclusion, we have highlighted the most significant relationships between the factors of driver psychology.https://www.mdpi.com/2227-7390/9/4/433correlationtraffic psychologydrivertraffic accidentBIS-11DAQ
spellingShingle Kristián Čulík
Alica Kalašová
Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic Psychology
Mathematics
correlation
traffic psychology
driver
traffic accident
BIS-11
DAQ
title Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic Psychology
title_full Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic Psychology
title_fullStr Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic Psychology
title_full_unstemmed Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic Psychology
title_short Statistical Evaluation of BIS-11 and DAQ Tools in the Field of Traffic Psychology
title_sort statistical evaluation of bis 11 and daq tools in the field of traffic psychology
topic correlation
traffic psychology
driver
traffic accident
BIS-11
DAQ
url https://www.mdpi.com/2227-7390/9/4/433
work_keys_str_mv AT kristianculik statisticalevaluationofbis11anddaqtoolsinthefieldoftrafficpsychology
AT alicakalasova statisticalevaluationofbis11anddaqtoolsinthefieldoftrafficpsychology