Addis Ababa Road Traffic Accident Study and Possible Engineering Solutions: Case Study of Akaki-Kaliti Sub City Roads
| dc.contributor.advisor | Teklu, Bikila (PhD) | |
| dc.contributor.author | Gebremeskel, Atsbeha | |
| dc.date.accessioned | 2018-07-19T06:34:37Z | |
| dc.date.accessioned | 2023-11-11T12:53:37Z | |
| dc.date.available | 2018-07-19T06:34:37Z | |
| dc.date.available | 2023-11-11T12:53:37Z | |
| dc.date.issued | 2014-05 | |
| dc.description.abstract | This study aimed at examining the road traffic accident and possible engineering solutions: with particular focus on Akaki-Kaliti Sub-City roads. To meet the objective of the research the researcher has given attention to collect accident data, road data, and traffic data from Addis Ababa Police Commission, Akaki-Kaliti Sub-City Traffic Office, ERA (Ethiopian Roads Authority), from Addis Ababa Road and Transport Office, and field observations. Calculation and model selection of Black spot identification go with the land characteristics, objective needs, and basing other real factors required consideration the area of the study. Hence, the results of the study showed the existence of large difference in road traffic accident victims among drivers, passengers, and pedestrian in their sex and age levels. The Male drivers, passengers, and pedestrians were the most affected one as compared to their female counterparts. Moreover, the result confirmed that road traffic accident (death, serious injuries and light injuries) in the city mostly affected age categories of between 18-30 regardless of their sex, and starts declining after age 31. Consequently, the road traffic accidents were extremely affecting the economically active citizens i.e., youths and young adult groups. The road traffic accident trends in the Akaki Kaliti Sub-City roads by day of a week revealed significant growth of the severity of the accidents from 2010/11 to 2012/13 in all days of the week except in Sunday. Though it varies in hours of a day, and hence the crash has reached its maximum points when pedestrians, passengers and drivers' frequency of movement has increased, especially after 6:00 AM and reached the maximum accidents at 10:00 AM. Most of these crushes happened in Central Business District (CBD) and market land use areas with collisions like sideswipe, rear end, collision with pedestrians,broad side, and head on collusion. Most of these accidents occurred on Road junction like midblock than the Y– junction and T – junctions. Besides, the highest accident rates were associated with double carriageway in straight and level road character. Depending on these road traffic accidents and the model used areas like Saris Abo roundabout, Tirunesh Beijing Hospital (Near the Bridge), Customs Office Entrance, Total (Kaliti Shoa Bakery), Korki (Medroc) Entrance, Cheralia Biscuit Factory, and Akaki Kela (Near UNISA) were identified as Black spot areas, since they experienced the highest accident rates. Hence, recommendations of Engineering, Enforcement, Encouragement, and Education like, adequate provision of Road safety education, offering of definite land use policy, Quality drivers' training, and testing, standardized and prerequisite criteria for drives with regard to their educational background and good behavior ,traffic signals , traffic lights and their frequent technical failure should be solved, raised zebra crossing, marking zebra crossing, prohibit overtaking, constructing side walkway, widening of the pavement, streetlights, installation of marking and signs, and some areas also consider adequate median road marking, redesign and providing additional-way movement have been forwarded to alleviate the problems. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/9322 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Road and Transport Engineering | en_US |
| dc.title | Addis Ababa Road Traffic Accident Study and Possible Engineering Solutions: Case Study of Akaki-Kaliti Sub City Roads | en_US |
| dc.type | Thesis | en_US |