title: Measurement and dimension of road fatality in Brunei.
abstract: In this article, we have investigated the pattern of road fatality in Brunei. It is seen from this analysis that road fatality in Brunei was one of the highest in the world in the early 1990s, but has been significantly reduced over the years, and is now one of the lowest in the world. Preliminary investigation shows that young male drivers are responsible for most road fatalities in Brunei. We have also fitted a linear regression model and found that road fatality is significantly positively related to people aged 18-24 years and new registered vehicles, both of which are expected to grow with the growth of population and economic development. Hence, road fatality in Brunei is also expected to grow unless additional effective road safety countermeasures are introduced and implemented to reduce road toll. Negative coefficient is observed for trend variable, indicating the reduction of road fatality due to the combined effects of improvements of vehicle safety, road design, medical facilities and road safety awareness among road user groups. However, short-term road fatality analysis based on monthly data indicates that the coefficient of the trend variable is positive, implying that in recent months road fatalities are increasing in Brunei, which is supported by media reports. We have compared Brunei's road fatality data with Australia, Singapore and Malaysia and found that Brunei's road fatality rate is lower than Singapore and Malaysia, but higher than Australia. This indicates that there are still opportunities to reduce road fatalities in Brunei if additional effective road safety strategies are implemented like in Australia without interfering in the economic and social development of Brunei.
authors.affiliation: International Institute of Business and Social Studies, Melbourne-Victoria, Australia. international.ibass@gmail.com
authors.forename: Mohammed Ohidul
authors.initials: MO
authors.lastname: Haque
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality* / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D001315:Australia; D001336:Automobiles / Q000706:statistics & numerical data*; D002010:Brunei; D002648:Child; D005260:Female; D006801:Humans; D038622:Internationality; D016018:Least-Squares Analysis; D008296:Malaysia; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012846:Singapore; D055815:Young Adult