Prioritization of improvement, renovation, and pavement of Ag Gala city road network in the context of geographic information system

Many road pavement maintenance projects are carried out at very high costs. Accordingly, the present study aims to provide a software model for prioritizing road pavement improvement projects using fuzzy hierarchical analysis. The criteria selected in this study include route length, current condition of the road, transverse slope, road drainage, traffic volume, traffic composition, route width and whether it is two-way or one-way. There are about 18 selected streets in Aq Qala city. After entering the criteria and options, improvement prioritization is done for pavement projects using hierarchical analysis method. The results indicate that North Khomeini Street is in the first priority and Esteghlal Street is in the last priority of improvement. Then, they are weighted according to the selected criteria, which are of quantitative and qualitative type, experts’ opinion, and pairwise comparisons. The results show that the current road condition criterion has the highest weight and the transverse slope criterion has the least importance. The criteria are divided into two descriptive-analytical and spatial categories, and their discrepancy rate is 0.03 and 0.02, respectively. The overall discrepancy rate is 0.03, which is less than the allowable limit.