Long-term preventive maintenance planning using finite annual budgets is vital for maintaining the service performance of airport runway composite pavements. Using the pavement condition index (
PCI) to quantify composite pavement performance, this study investigated the
PCI deterioration tendencies of middle runways,
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Long-term preventive maintenance planning using finite annual budgets is vital for maintaining the service performance of airport runway composite pavements. Using the pavement condition index (
PCI) to quantify composite pavement performance, this study investigated the
PCI deterioration tendencies of middle runways, terminal runways, and taxiways and developed prediction models related to structural thickness and air traffic. Performance jump (
PJ) and deterioration rate reduction (
DRR) were used to measure maintenance benefits. Based on 112 composite pavement sections in the Long-term Pavement Performance Program, this study analyzed the influences of five typical preventive maintenance technologies on
PJ,
DRR, and
PCI deterioration rates. The logarithmic regression relationship between
PJ and
PCI was obtained. For sections treated with crack sealing and crack filling, the
DRR was nearly 0. For sections treated with fog seal, thin HMA overlay, and hot-mix recycled AC, the
DRR was 0.2, 0.7, and 0.8, respectively. To solve the multi-objective maintenance problem, this study proposed a decision-making optimization method based on dynamic programming, and the solution algorithm was optimized, which was applied in a five-year maintenance plan. Considering different
PCI deterioration tendencies of airport regions, as well as
PJ,
DRR, and costs of maintenance technologies, the preventive maintenance decision-making optimization method meets performance and financial requirements sufficiently.
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