Bikila, Teklu (PhD)Eskindir, Zekios2019-06-242023-11-112019-06-242023-11-112019-06http://etd.aau.edu.et/handle/12345678/18545Globally, road safety issue is the major economic, social and health problems, especially it becomes the critical concern of developing countries like Ethiopia. In addition, it was forecasted to be the fifth leading cause of death in 2030 but currently it holds the 8th position. According to WHO report (2018), an estimated 1.35 million people are killed in road crashes and up to 50 million injured worldwide every year. That’s nearly 3,700 people dying on the world’s roads every day. Research report of WHO (2018) has also revealed that Ethiopia was found one of the world worst accident recorded country where it accounts for fatality rate of 26.7 per 100,000 populations from which the capital city Addis Ababa has took the highest share. Hence, this research was mainly performed to investigate the effects of roadway elements for road traffic accidents on arterial streets of Addis Ababa city specifically, on Nifas Silk sub city. On account of engineering relevance and systematic sampling approach, thirty-Six road segments were extracted from five streets using homogeneity principle. Subsequently, fifteen accident prone locations were selected from the samples by employing point weightage approach and statistical check using three years of accident database from AAPC and Nifas silk police department. Moreover, accident prone locations were digitalized using ARCH – GIS 10.3 tool. According to the objective of the research, seven explanatory variables were found significant from the presumed twenty-six risk factors. And they are average travel lane width, number of U-turn, Average Daily Traffic Volume (ADT), 85th % spot speed, availability of parking, median opening and presence of visual clutter. In addition, point biserial correlation analysis was executed using SPSS tool and it was adopted along with subjective engineering judgment and argument from previously executed researches to select the stated explanatory variables. Therefore, excluding the strength of the relationship, all variables have shown positive relationship with the number of road traffic accident. Hence, change in any variable will affect the probability and magnitude of the accident number. On the other hand, average travel lane width, availability of parking, average daily traffic (ADT) and presence of visual clutter has shown strong correlation with coefficient of 0.778, 0.656, 0.646 and 0.635 respectively. While the remaining three variables have shown moderate relationship with the dependent variable.en-USAccident-prone locationGIS toolTraffic SafetyPoint-Biserial CorrelationRoadway elementsSignificant Explanatory VariablesThesis