In order to cope with the rapid recovery and growth of air passenger flow and the uncertainty of passenger group structure and consumption behavior, and to give full play to the role of aircraft parking stands resources in improving non-aeronautical revenue, an optimal allocation model for aircraft parking stands based on the maximization of flight route commercial value is established. Firstly, the game theory combinatorial weighting method was used to correct the influence of subjective factors on the evaluation results. Then, the commercial value of aircraft parking stands and flight routes was quantitatively ranked by the vlseKriterij-umska optimizacija I kompromisno resenje algorithm, which could eliminate the mutual influence of multiple indicators. Finally, a trunk airport in northern China was used as an example to verify the feasibility of the method. The results show that three evaluation indicators of commercial value of flight routes are significantly correlated with the per customer transaction at boarding gate and commercial concentration zone, including departure time, dwell time and daily average passenger volume. By reasonably matching flight routes and parking stands based on commercial value, the commercial value of boarding gate and commercial concentration zone can be increased by 9.4% and 6.2% respectively. Therefore, introducing the commercial value of flight routes into the traditional aircraft parking stands allocation model has important practical application value for increasing airports non-aeronautical revenue.