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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5757

Title: Identification of Risk Factors Involved In Road Accidents in Ghana: A Case Study of the Techiman Municipality
Authors: Awal, Mohammed
Issue Date: 18-Mar-2013
Abstract: The problem of deaths and injury as a result of road accidents is now acknowledged to be a global phenomenon. As a result authorities in virtually all countries of the world are now concerned about the growth in the number of people killed and seriously injured on their roads including Ghana. The study objective was to identify the risk factors that mainly contribute to accident and their impact on road accident. This study applied logistic regression to accident-related data collected from MOTOR TRAFFIC and TRANSPORT UNIT of GHANA POLICE SERVICE, TECHIMAN DIVISIONAL COMMAND traffic records in order to examine the contributing factors to accident severity. A total of 494 accident data from 2007-2011 was used. The accident severity (dependent variable) in this study is a dichotomous variable with two categories, Fatal or Non-fatal. Among the variables obtained from police-accident reports, five independent variables namely; gender, time of accident, location of accident and reasons assigned for accident were found to be statistically significant.
Description: A thesis submitted to the Institute of Distance Learning, Kwame Nkrumah University of Science and Technology in partial fulfilment of the requirement for the award of Master of Science degree in Industrial Mathematics, 2013
URI: http://hdl.handle.net/123456789/5757
Appears in Collections:Distance Learning

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