A STATISTICAL ANALYSIS OF ROAD TRAFFIC ACCIDENTS AND CASUALTIES
DEVELOPING COUNTRIES: CASE STUDY OF BANGLADESH
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In the developing world, road traffic accidents are a major cause of death and injury. A statistical analysis was conducted of road accidents and casualties in Bangladesh. This was undertaken in order to assist the policy-makers to take appropriate steps to reduce the road accidents and casualties. Data from Bangladesh government publications were explored, analysed and statistically modelled. An exploration was undertaken using average rates. In addition, annual time series data were investigated using trend lines. ANOVA was conducted using the rates applying mainly non-parametric tests. Fina...
In the developing world, road traffic accidents are a major cause of death and injury. A statistical analysis was conducted of road accidents and casualties in Bangladesh. This was undertaken in order to assist the policy-makers to take appropriate steps to reduce the road accidents and casualties. Data from Bangladesh government publications were explored, analysed and statistically modelled. An exploration was undertaken using average rates. In addition, annual time series data were investigated using trend lines. ANOVA was conducted using the rates applying mainly non-parametric tests. Finally, modelling of two/ three-way data was conducted using the frequencies applying Poisson regression models. The most significant findings from this research were that pedestrians were highly vulnerable. Cities have higher accident rates than non-cities. National highways are the main venues of accidents. Heavy vehicles as bus and truck are predominantly involved. Implications from this research have been considered and suitable recommendations have been made. This book is of interest to transport planners, civil engineers and those undertaking transport researches in the developing world.
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