Statistical prediction models for pavement condition index (PCI) and key distresses have been developed for asphalt and jointed concrete pavements. The models were developed based on field data collected during FY76 through FY78 from 19 airfields throughout the United States. The field data included traffic, climate, pavement structure and material properties, and previous maintenance. Prediction models were developed for concrete and asphalt pavements, respectively. These models represent the first iteration of the consequence models needed to help pavement engineers select the most economical maintenance and repair (M & R) strategies and to help management efficiently allocate repair funds. Two workshops were held to determine information required by Air Force Command and Base engineers to efficiently manage airfield pavement M & R. The workshops were attended by many Command and Base engineers, as well as representatives from the Air Force Design Center and the Directorate of Management Systems. Computer and information requirements were defined and implementation alternatives for a computer-aided pavement management system were developed as a result of these workshops. (Author).