Browsing by Author "Seble Deginetu Bogale"

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    Development of Pavement Management Performance Model: A Case Study of Ethiopian Roads Administration
    (Addis Ababa University, 2025-06-01) Seble Deginetu Bogale; Asregdew Kassa (PhD)
    According to United Nations Economic Commission for Africa “Road safety performance review of Ethiopia (2020)” Sustainable and vibrant transport systems can lead to long-term economic growth. If designed well, transport facilitates access to opportunities, education, medical services, and goods, and improves overall quality of life. Around $45 billion worth of road infrastructure has been destroyed over the previous 20 years due to poor maintenance, according to a World Bank study conducted in 85 developing nations. Less than $12 billion might have been spent on preventive maintenance to avoid this loss (Harral and Faiz, as cited by Regassa, 2015). This study's primary objectives are to evaluate the Ethiopian Road Administration's present pavement management practices and develop a pavement performance prediction model. A case study has been employed as a research methodology to carry out the investigation. Pavement condition assessment reports, document examination, and observation are the methods used to acquire data using regression analysis. The study's findings indicate that the road sector pavement management directorate planned and arrange strategies for timely maintenance of defective road but in reality the maintenance activity done after the road condition become sever condition. Which lead huge maintenance expense instead this loss could have been averted with less preventive maintenance cost. Performance models are used in pavement management systems (PMSs) to forecast pavement performance in the future by correlating pavement distress with traffic volume, age, traffic load, climate condition etc. But the study limited to correlating pavement distress with age of pavement as the other constraints (traffic volume, climatic condition, traffic load etc.) are not available during the study. The regression analysis model's result shows the maximum percentage difference between the actual and anticipated pavement distress is 4.2%, making it a good starting model. Ultimately, by reducing the most significant issues that are unique to the city, this study offers the municipal administration a logical way to enhance its road pavement management practices. By forecasting the road's future state, the pavement performance model is also anticipated to assist the local administration in carrying out prompt maintenance on damaged roads. Key Word: Road pavement Management, Pavement Performance Prediction Model, Pavement