Aiming at the problem of the value of air routes in the civil aviation route network, this paper proposes an air routes potential value mining model based on LDA by analyzing the traditional theme model. This model divides the analysis of passengers' travel behavior into two stages:The determination of travel intentions, and the selection of air routes implied in travel intentions, and they are incorporated with passenger value to mine air routes potential value. Travel intentions are extracted from passenger booking data by Gibbs sampling method, and air routes are obtained from the air routes vector through determining the travel intentions of passengers. Passenger values are obtained from the information of cabin. Experiments on passenger booking data sets of China Civil Aviation in 2010 and 2011 respectively show that the two air routes potential value sequences obtained by proposed model have better orderly correlation than the pLSI model and senLDA model, and when mining the potential value of the top 5 air routes, we get two identical air routes potential value sequences on two data sets in 2010 and 2011. Therefore, the proposed model has superiority in mining high potential value of air routes.