| Issue |
MATEC Web Conf.
Volume 90, 2017
The 2nd International Conference on Automotive Innovation and Green Vehicle (AiGEV 2016)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/matecconf/20179001004 | |
| Published online | 20 December 2016 | |
The identification of Malaysian driving styles using the multidimensional driving style inventory
1 Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands
2 Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
3 Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
* Corresponding author: j.karjanto@tue.nl
A study was conducted to investigate the driving styles within the geographical region of Malaysia. The first part of the study determined Malaysian drivers’ driving styles using the Multidimensional Driving Style Inventory approach. Respondents had various backgrounds in terms of age, gender and experience of driving. A statistical factor analysis was done for 338 respondents revealing four driving styles; careful, risky, anxious-dissociative and angry. In addition, a comparison with previous findings from Netherlands and Israel was also done in this study. The next part of the study focused on the associations of these driving styles with two personality traits (sensation seeking and desire for control), sociodemographic factors and experience of driving. The last part of the paper discusses the relevance of the study against the background of future automotive development.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.