Mathematical Model to Assess Motorcycle Accidents in Tanzania

Abstract

Motorcycle accident has been one of the paramount road cases in Tanzania. However, when ensuring road safety rules in Tanzania it is important to assess the nature and causes of road accidents in the country. It is also necessary to find out the factors which lead to an obstacle of achieving road safety and regulations. This paper focuses on the assessment of motorcycle accidents in Tanzania and the associated factors such as driving experience, personal status like alcoholic, carelessness, wrong overtaking, speed, mechanical defect and road conditions. The models were formulated by using SPSS software program from the data collected from Kilimanjaro and Arusha regions. By applying multi-linear regression methods, the formulated model solutions were used to analyze the relationship between motorcycle accidents as the dependent variable and other factors such as driving experiences, speed, legal status, personal status, mechanical defects, wrong overtake and rough road, tarmac road as independent variables.

Keywords: Multi Linear regression method, Motorcycle accidents, Personal status and   Road condition.