Issue |
SHS Web Conf.
Volume 189, 2024
The 2nd International Conference on Ergonomics Safety, and Health (ICESH) and the 7th Ergo-Camp (ICESH & Ergo-Camp 2023)
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Article Number | 01024 | |
Number of page(s) | 14 | |
DOI | https://doi.org/10.1051/shsconf/202418901024 | |
Published online | 09 April 2024 |
The Impact of Social Norms, Personality, and Time Perspective Factors On Indonesian Highways Safety Driving Behavior
Department of Industrial Engineering, Bandung Institute of Technology, Bandung, Indonesia
The number of traffic accidents per year increases in proportion to the number of drivers. The higher traffic accident in particular on highways is due to speeding behavior. Traffic accidents are caused by the environment, the vehicle, and the driver factors. The purpose of this study is to incorporate driver personality, time perspective, and applicable norms, on the speeding behavior model and design proposals for intervention policies, and improve current policies on driving behavior to maintain and increase safety driving the highways speed limit. Personality (BFI-10) was incorporated into the model to investigate which personality types that often speed, time perspective (ZTPI-18) was use to understand the current driver behavior from past experience and the driver will likely take in future, while the theory of normative social behavior (TNSB) was incorporated to enhance the theory of planned behavior (TPB) model used in previous studies. The method used in this paper is the PRISMA framework. Result of this study is a conceptual model that incorporates variables of TPB, TNSB, BFI-10 personality inventory, and ZTPI-18 and consists of 23 variables. Further study will be conducted to prove the conceptual model by using the method of self-report questionnaires, field observations, and driving simulations.
Key words: Driving behavior / Norm / Safety Driving / TPB / BFI-10 / Time Perspective / TNSB
© The Authors, published by EDP Sciences, 2024
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.
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