Int J Performability Eng ›› 2023, Vol. 19 ›› Issue (1): 76-84.doi: 10.23940/ijpe.23.01.p8.7684

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Analysis of Factors Influencing Safe Driving Behavior in Indian Context using Manchester Driver Behavior Questionnaire

Pawan Wawagea,*, Yogesh Deshpandea, and Kumar Manavb   

  1. aDepartment of Computer Engineering, Vishwakarma University, Pune, 411048, India;
    bDepartment of Information Technology, Vishwakarma Institute of Information Technology, Pune, 411048, India
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  • About author:Pawan Wawage completed his Masters in Computer Science and Engineering at MIT, Pune, India. He is an Assistant Professor at the Department of Information Technology, and Research Scholar at Vishwakarma University. His research interests include issues related to Human-Computer Interaction, Cognitive Psychology, and Usability Engineering.
    Yogesh Deshpande received his PhD in Human-Computer Interaction at IIT, Guwahati, India. He is a Professor at the Department of Computer Engineering, Vishwakarma University. His research interests include issues related to Human-Computer Interaction, Cognitive Psychology, and Industry 4.0. He is author of a great deal of research studies published at national and international journals, conference proceedings as well as book chapters.
    Kumar Manav completed his Bachelors in Information Technology at VIIT, Pune, India. His research interests include issues related to Machine Learning, Data Science, Human-Computer Interaction, and Usability Engineering.

Abstract: Traffic accidents are a significant health and economic issue on a global scale and have been the main focus of traffic psychology research. Utilizing differences among drivers has been a key strategy to anticipate eventual accident involvement. A popular tool for identifying and evaluating unusual driving behavior is the Driver Behavior Questionnaire (DBQ). Despite the popularity of the self-report method, the DBQ's use in underdeveloped countries like India has not been tried. The DBQ measures what are referred to as aberrant driving behaviors and is based on Reason's error theory. The foreseeability of road accidents is one of its primary intended purposes. Although several studies have explored this and shown some success, it is important to notice one aspect of DBQ reports: practically all of them have used self-reported accidents as the dependent variable. The aim of this study is to analyze the relationship between aberrant driving behavior and traffic offences by using DBQ to evaluate the factors that influence aberrant driving behavior. Exploratory and confirmatory factor analyses provided evidence in favor of the initial factor structure. Overall, the results demonstrated that the cross-cultural DBQ is a useful and reliable tool for assessing driving behavior in India. The results offer helpful knowledge on the factors that affect driving ability and behavior, which will help India reduce traffic jams and accidents on the roads.

Key words: driving behavior, driving performance, safety awareness, India, road safety, driver behavior questionnaire