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Factors Associated with High Levels of Accidents by Motorcycle Taxi Drivers

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Factors Associated with High Levels of Accidents by Motorcycle Taxi Drivers
Factors associated with high levels of accidents by Motorcycle taxi drivers

Godwin Asiimwe
Bachelor of Statistics, Msc. Statistics
(Makerere University)
Assistant Lecturer, Department of Management Science
Makerere University Business School

Mbaga Tuzinde
Bsc. Quantitative Economics, Msc. Quantitative Economics
(Makerere University)
Assistant Lecturer, Department of Management Science
Makerere University Business School

Humphrey Anjoga
Bsc. Business Computing, Msc. Information Technology Management
(Makerere University)
Assistant Lecturer, Department of Business Computing
Makerere University Business School

September, 2008
Abstract
The escalating number of boda-boda related accidents according to the recent reports from police, has posed an immense mystery to the concerned authorities. While Kisaalita, W, Sentongo, J. (2007) viewed the development of motorcycle taxi (boda-boda) service as a spontaneous entrepreneurial response, parallel to that is their safety concern.

The purpose of this paper is to identify major causes of accidents by the boda boda riders and hence provide plausible remedies to the problem.

Methodology: A survey was taken in the 3 city suburbs of Kampala (Kawempe, and Kasubi, Kisenyi) using simple random sampling technique. A sample of 120 operators was selected and a well structured questionnaire administered to them. Logistic regression analyses were used to obtain adjusted odds ratio estimates for each of the operator related factors considered for this study.

Findings: Of the 120 motorcycle operators that were interviewed, 66% of them had been involved in accidents before, 56% had a ridding permit, and 43% owned their own motorcycles, while only 65% lived with their families in Kampala.
From the application of the logit models, it emerges that the most important variables contributing to risks of accidents by boda boda operators were motorcycle ownership, family location, experience, age and ownership of a

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