Analysis of Accident Rates in Sylhet District Using SPSS for Highway Safety Assessment.

Abstract: Road traffic accidents are a major problem in the whole world. Almost 1.2 million people are killed in road
traffic crashes each year. This study conducts an in-depth analysis of highway accidents in the Sylhet district, using SPSS to assess crucial safety indicators. Given the rising number of traffic-related deaths and injuries in Bangladesh, especially in the Sylhet area, it is essential to pinpoint the factors that contribute to accidents on highways. Sylhet is a densely populated city with around 0.64 million inhabitants living in an
area of 26.5 sq. km i.e. some 2400 inhabitants per sq. km where population growth is very high. As direct
consequences of rapid growth in population, motorization, and urbanization process are causing a serious
challenge for tackling the road safety problems. The safety problem is very severe by international standards.
This research work presents an overview of the road traffic accident situation in Sylhet district which in
particular, discusses the key road accident problem characteristics, identifies the hazardous road and spot, most
responsible vehicle and related body, conditions of driver and pedestrians, most victims of the accident, safety
priorities and options in Sylhet. Based on accident data using SPSS, a regression model is developed to predict
future accidents. Where four variables are used - number of accidents as the dependent variable, registered
vehicle, population & ratio of most accident vehicles to the total registered vehicles as independent variables.

Keywords: Traffic, Casualty, Fatality, SPSS, Regression Model