Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers
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 human...
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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 |
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Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers |
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Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers |
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Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers |
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Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers |
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Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers |
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Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers |
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validity of the multidimensional driving style inventory in malaysian drivers |
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my-utem-ep.254942022-01-06T11:43:40Z Validity Of The Multidimensional Driving Style Inventory In Malaysian Drivers 2020 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 2020 Thesis http://eprints.utem.edu.my/id/eprint/25494/ http://eprints.utem.edu.my/id/eprint/25494/1/Validity%20Of%20The%20Multidimensional%20Driving%20Style%20Inventory%20In%20Malaysian%20Drivers.pdf text en public http://eprints.utem.edu.my/id/eprint/25494/2/Validity%20Of%20The%20Multidimensional%20Driving%20Style%20Inventory%20In%20Malaysian%20Drivers.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=118372 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Mechanical Engineering Karjanto, Juffrizal 1. Aberg, L., & Rimmd, P. A. (1998). Dimensions of aberrant driver behaviour. Ergonomics. https://doi.org/10.1080/001401398187314 2. Alicia, P. (2020). Unbelievable Benefits And Drawbacks Of The Self-Driving Car.https://www.lifehack.org/articles/technology/unbelievable-benefits-and-drawbacks-theself-driving-car.html 3. 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