Regeneration of Road Users Using PreSiM Model

Main Article Content

Mohamad Ghazali Masuri
Akehsan Dahlan
Ajau Danis
Khairil Anuar Md Isa

Abstract

This study was involved in-one-to-one depth interview. Seven road users who had experienced road traffic accident were interviewed using semi-structured questionnaire. Data then analyzed using the Atlas.ti software. The themes that emerged shows that majority of the respondent agreed that to maintain driver's competency, there is a need to re-assess, and all qualified drivers and high-risk drivers may need to attend driving rehabilitation program in the future. The data was translated into a proposed model called PreSiM. This study concluded that human components have a high potential to be re-evaluated in the current licensing process.

Article Details

How to Cite
Masuri, M. G., Dahlan, A., Danis, A., & Md Isa, K. A. (2018). Regeneration of Road Users Using PreSiM Model. Journal of ASIAN Behavioural Studies, 3(10), 132–141. https://doi.org/10.21834/jabs.v3i10.312

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