RISK assessment in airport maintenance runway condition using MCDA-C

This paper proposed the initial development of a multicriteria methodology for a runway maintenance monitoring using risk perception at airports with the MCDA-C methodology. To support morphological structuring and semantic judgments eight specialists in airport maintenance and operations were interviewed and the model was built based in their perceptions and deep technical knowledge on the subject. We found that the 7 most representative criteria were able to deal with approximately 80% of the perceived risk by the experts, indicating that a considerable part of the resources of the Brazilian airport infrastructure operations could be being redirected towards a more rational application. Finally, we applied the method in a real scenario situation by analyzing real data from the 29 the busiest Brazilian airports. Data showed objectively that 18 airports presented scores that clearly indicated being in a favorable (safer) or unfavorable (risky) condition regarding the criteria analyzed, guiding where the state can spend the resources with the best benefit.