Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers

UNSPECIFIED (2020) Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers. Masters thesis, Universiti Teknikal Malaysia Melaka.

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Abstract

This study aims to classify the driving styles (DS) in Malaysia by using the Multidimensional Driving Styles Inventory (MDSI) for drivers in Malaysia. Users of the future automated vehicles (AV) will usually prefer their vehicles to drive like themselves. The driving style of the AV need to be humanised to prevent the technology from being ignored and to avoid causing any health-related problems. This research also intends to find the correlation between the personality traits (trust to the automated system and desire for control) with the Malaysian's driving styles. Besides, the differences between the sociodemographic variables with the style has also been studied. Previously, this MDSI study has been performed in Malaysia but was carried out in English while in this study, it was carried out in the Malay language. A total of 430 respondents took part in this study. The MDSI was analysed using exploratory factor analysis (EFA), Pearson correlation analysis, Mann-Whitney and Kruskal-Wallis test. The results revealed five Malaysian driving styles factors: careful, risky, angry-impatient, dissociative, and anxious. The Pearson correlation results show that careful drivers have a significant effect on trust and desire for control while the angry-impatient drivers show a significant effect with the desire for control. The results of the sociodemographic variables show significant effects with careful, risky, angry-impatient and anxious driving styles. The dissociative driving style shows no significant effect on the sociodemographic variables

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Automated guided vehicle systems, Automated guided vehicle systems, Safety measures, Driving Style Inventory, Malaysian Drivers
Divisions:	Library > Tesis > FKM
Depositing User:	F Haslinda Harun
Date Deposited:	06 Jan 2022 11:43
Last Modified:	06 Jan 2022 11:43
URI:	http://eprints.utem.edu.my/id/eprint/25494
Statistic Details:	View Download Statistic

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