Vol 2 Issue 5 September 2015-October 2015
Zewude Alemayehu Berkessa
Abstract: Road traffic accident is the cause of significant loss of human and economic resources all over the world especially in big cities. The main objective of this study was to identify and describe the factors affecting the injury severity in Addis Ababa. This study based on a secondary data which obtained from Addis Ababa Traffic Police Commission Bureau from July 01, 2011(G.C) to June 30, 2012(G.C). The candidate variables for the study were driver's age, driver's sex, driver's education status, driver's experience, driver's defect, vehicle type, vehicle owner, vehicle defect, road topography, road junction, road surface, weather condition, light condition, pedestrian physical fitness, time, day and month. Among the candidate variables, Chi-Square method identified driver’s age; driver's sex, driver's education status, driver's experience, driver's defect, vehicle type, vehicle owner, vehicle defect, road topography, road junction, weather condition, pedestrian physical fitness, time, and month were significant variables. In order to make interpretation on factors affecting the injury severity of crashes in Addis Ababa, Multinomial model was used. The results indicated that driver's age, driver's education status, driver's experience, vehicle type and road topography were positively associated with injury severity. The predicted probability of injury severity also showed that the probability of property damage only and severe injury were high. In order to reduce injury severity in Addis Ababa, all concerned bodies should give attention to the factors which were positively associated with injury severity.
Keywords: Injury Severity Levels and MNL Model.
Title: Statistical Analysis of Traffic Injury Severity: The Case Study of Addis Ababa, Ethiopia
Author: Zewude Alemayehu Berkessa
ISSN 2394-9716
International Journal of Novel Research in Interdisciplinary Studies
Novelty Journals