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Measuring driving styles: a validation of the multidimensional driving style inventory

Published: 01 September 2015 Publication History

Abstract

The aim of this study was to validate the stability of the different factors of the Multidimensional Driving Style Inventory (MDSI) [16], which was originally developed and validated with participants in different geographical areas of Israel. In this study, the questionnaire was distributed in the Netherlands and Belgium. A factor analysis of the data of 364 participants revealed five of the eight factors that resulted from the original factor analysis: Angry driving, Anxious driving, Dissociative driving, Distress-reduction driving, and Careful driving style. In addition, 24 items divided over the five factors seem to be stable compared to the 44 items divided over the eight factors of the original analysis. The factors revealed through the analysis of these data were used to determine driver profiles, consisting of one or two driving styles. The next step is to compare self-report data on driving style to actual driving behaviour.

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    AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    September 2015
    338 pages
    ISBN:9781450337366
    DOI:10.1145/2799250
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 01 September 2015

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    Author Tags

    1. driving behaviour
    2. driving style
    3. factor analysis
    4. human factors
    5. questionnaire
    6. self-report

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    AutomotiveUI '15 Paper Acceptance Rate 38 of 80 submissions, 48%;
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    • (2024)MAVERIC: A Data-Driven Approach to Personalized Autonomous DrivingIEEE Transactions on Robotics10.1109/TRO.2024.335954340(1952-1965)Online publication date: 2024
    • (2024)Analysis of Driving Behaviour Under Different Disturbance Conditions Through Virtual Reality2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)10.1109/RTSI61910.2024.10761213(265-270)Online publication date: 18-Sep-2024
    • (2024)A dynamic driving-style analysis method based on drivers’ interaction with surrounding vehiclesJournal of Transportation Safety & Security10.1080/19439962.2023.2276185(1-24)Online publication date: 9-Apr-2024
    • (2024)Machine Learning Analysis of Informal Minibus Taxi DrivingITM Web of Conferences10.1051/itmconf/2024690300369(03003)Online publication date: 13-Dec-2024
    • (2024)Older Adults’ Perceptions and Behaviors on Driving: A Mixed Method StudyTransport Policy10.1016/j.tranpol.2024.09.007Online publication date: Sep-2024
    • (2024)How drivers perform under different scenarios: Ability-related driving style extraction for large-scale datasetAccident Analysis & Prevention10.1016/j.aap.2023.107445196(107445)Online publication date: Mar-2024
    • (2023)Cross-Cultural Differences in Driving Styles: A Moderated Mediation Analysis Linking Forgivingness, Emotion Regulation Difficulties, and Driving StylesSustainability10.3390/su1506518015:6(5180)Online publication date: 15-Mar-2023
    • (2023)Effects of Personal Driving Styles on Preference for Fully Automated Driving and Their Heterogeneity by Travel Distance: A Hybrid Choice Model Approach with Multiple-Stated-Choice ExperimentsTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812311638212677:10(707-725)Online publication date: 20-Apr-2023
    • (2023)Tactical Decisions for Lane Changes or Lane Following: Assessment of Automated Driving Styles Under Real-World ConditionsIEEE Transactions on Intelligent Vehicles10.1109/TIV.2022.31615708:1(502-511)Online publication date: Jan-2023
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