Abstract:
Maintenance of the road transport network of a country is very crucial to the overall
infrastructural development especially for developing countries like Ethiopia. Deferred
maintenance activities resulting from budget fluctuations can lead to deteriorated pavement
conditions and expose road users to a higher level of risk. As a result, there is a need for
methods that can help to select the most cost-effective maintenance projects to control and
minimize the risk for road users under budget constraints. This research tries to fill a gap that
decision makers in maintenance prioritization. These kinds of arbitrary decisions do not
usually guarantee the effectiveness of budget allocation. To overcome these difficulties an
objective based AHP method is proposed in this study. The main objective was to use the expert
choice approach based on Analytical Hierarchy Process for priority rating of pavement
maintenance in AACRA.
In this study, ten sample roads were selected form roads that are planned for maintenance in
the AACRA by using a purposive sampling method. The distress data for the selected road were
collected using visual condition assessment survey and the ranking of most dominant distress
were done in Decision Analysis Module for Excel. The percentage damage of identified
dominant distress occurred at the selected roads was determined. By taking the ranked distress
in Decision Analysis Module for Excel and the road class the weights for each criteria and sub
criteria were derived using AHP approach in Supper Decision Software. A questionnaire has
been prepared for pair wise comparison of criteria and sub criteria and has been distributed
among pavement experts and the results have been calculated in super decision software.
Finally priory weights and ranking for the sample roads were obtained.
As a conclusion the rating of selected sample roads for maintenance were obtained. The
percentage damage of distress for the selected road were also obtained from visual condition
assessment survey and the ranking were obtained for the most dominant distress that affect a
maintenance prioritization. The weightage influence for the criteria and sub criteria using AHP
concept were the other result.on the criteria comparision the principal arterial street has 46%
influence and sub arterial street, local and collector road has got 32.4%,14.86% and 6.65%
influence respectively. Also the sub criteria raveling, rutting, shoving, crocodile crack and
pothole has got 49%, 26.68%, 14.53%, 5.99% and 3.69% respectively.
Finally in this research it was observed that the developed analytic hierarchy process model
works sufficiently and yields adequate results as well as providing accurate decisions.
Considering the multi criteria’s to prioritize the pavement sections for maintenance can have
great benefit for the decision maker. AHP method is simple and can be easily understood. For
the AACRA it is better to apply a systematic way of prioritization which helps to utilize the
maintenance budget properly and fairly.