Optimizing Road Maintenance Management Through Data-Driven Prioritization Framework In Adama City

Abstract

Efficient And Safe Transportation Infrastructure Is Crucial For A Nation's Economic Development And social Well-Being. However, Traditional Reactive Road Maintenance Approaches Struggle With limited Budgets, Inefficient Resource Allocation, And Lack Of Reliable Data. This Study Is Aimed To comprehensively Evaluate The Effectiveness Of Current Road Maintenance Management Practices In adama City, And Develop A Data-Driven Approach For Improvement. The Research Employed A mixed-Methods Approach, Utilizing Surveys and Interviews with Road Construction And maintenance Professionals. The Relative Importance Index (RII) Assessed The Effectiveness Of current Practices, Revealing Weaknesses In Cost-Effectiveness, Time Efficiency, And Quality Of materials/Techniques. Financial Constraints Were Identified As The Most Significant Challenge. Adata-Driven Prioritization Framework, Based On The Weighted Average Score (WAS) Method, Is proposed To Address These Issues. The Framework Emphasizes Investing In Staff Capacity Building and Crew Training Programs As The Most Impactful Strategy. This Aligns With The Study's Conclusion that A Well-Trained Workforce Can Optimize Resource Allocation, Improve Time Efficiency, And Ensure the Effective Use Of High-Quality Materials And Techniques. The Study Recommends Addressing weaknesses Through Data-Driven Budgeting, Training Programs, Exploring Cost-Efficient techniques, And Ensuring Quality Materials And Techniques. Strategic Resource Allocation And alternative Financing Mechanisms Can Address Financial Limitations. This Data-Driven Approach offers A Valuable Model For Adama City And Other Municipalities Facing Similar Challenges In optimizing Road Maintenance Management Practices.