ASSESSMENT OF ROAD TRAFFIC ACCIDENTS AND THEIR REMEDIAL MEASURES (A CASE STUDY HARGEISA TO BEBERA ROAD)

Abstract

Transportation is playing a major role in the communication of people throughout the world. Road transportation is part of a transportation system that many people have been enjoying and using. However, day-to-day increasing road traffic accident is the main issue of the globe, the continent, and the country Somaliland. Therefore, the objective of this study is to assess road traffic accidents and their remedial measures for Hargeisa to Berbera road this research is both quantitative and qualitative types. The method used to collect the primary, and secondary data are, survey questionnaires, visualization, and direct obtaining data from existing documents from the archive of the Traffic police and Road Development Authority (Somaliland). Using the data collection method; pavement conditions, weather condition, Location of road traffic accidents, vehicle factor, road width, shoulder width, curve length, annual average daily traffic, road traffic accident data, etc. were obtained. The data has been analyzed in a statistical way after all necessary data was stored in Microsoft excel. The analyzed results sit on, types of accidents, cause of accidents, age of driver, time-based, month-based, vehicular- based, and yearly- based. The outcome was presented in the form of graphs, tables, pie charts, and bar charts. Based on variable relationships the data were statistically tested by the chi-square method. Acquiring traffic accident data using, this implies that the proportion of variation in the dependent variable (i.e. road traffic accidents) is explained by the independent variables (i.e. road users, road safety, environment, and speeding). the black spot locations were identified as the most hazardous locations with sixteen segments in Hargeisa to Berbar road, seven black spot locations in Harg to D.Buluq, three black spot locations from D.buluq to L.rug and L.rug to Barber six black spot locations Finally, According to the findings of the research, the most dangerous location or black spot segments were: L-BP5, H-DP1, L-BP4 to L-BP6 Corresponding other using the GIS software the identified for each black spot locations Based on the data analyses and prioritization values result from the more vulnerable section was found and ranked to diagnose, prioritize, evaluate and give low cost and effective solution to reduce the RTAs on the study road. Possible solutions are using traffic signs; making enforcement for illegal drivers, strengthening public awareness through campaigns, exercising pertinent policy revisions, permanent geometry, and pavement modifications, etc.