Title:
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A statistical analysis of road traffic accidents and casualties in Bangladesh
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A statistical analysis was conducted for road traffic accidents and associated
casualties in Bangladesh. This was undertaken in order to assist the policymakers
to take appropriate steps to be reduced the road traffic accidents and
the associated casualties. Secondary data (collecting from Bangladesh
government publications) were explored, analysed and modelled statistically. An
exploration was undertaken using the averages (per annum) of rates of KSI/
fatal casualty, accident and involved vehicles applying Bar-charts. In addition,
annual time series data were investigated using trend lines. A detailed analysis
of variances was conducted using the rates (per 10,000 populations) of BRTA
traffic accident and casualty data applying mainly non-parametric tests. Time
series; one-way and two /three-way classified data are analysed applying linear
regression model; Mann-Whitney or Kruskal-Wallis tests and Univariate
regression model respectively. Finally, modelling of two/ three-way data was
conducted using the frequencies of fatal casualty, fatal accident and involved
vehicles applying Poisson regression.
The most significant findings from this research were that pedestrians are highly
involved in the casualty figures. Fatal hit pedestrian is the main collision type
accident. Maximum fatal accidents occur at out of junction. Cities have higher
accident and casualty rates than that for non-cities (divisions/ districts,
excluding cities). In particular, Rajshahi city and Dhaka city have the highest
accident rates. National highways are the main venues of accidents and
casualties. Heavy vehicles including buses and trucks are predominantly
involved in casualty accident. Implications from this research have been
considered and suitable recommendations have been made.
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