Abstract: Aimed at the problem of unbalanced passenger flow and poor coordination in regional airport cluster, a visual analysis method to obtain flight operation characteristics of airport cluster from multiple perspectives is proposed. In order to avoid the loss of detail information when presenting largescale navigation data in the same view, a grid two-layer spatial tree was designed. The cluster analysis method of airport operation day pattern was designed to avoid the incomplete analysis of data time series characteristics. The airport capacity curve view was designed to effectively estimate the airport capacity. Combined with hierarchical clustering method and multi view collaborative analysis, VA-AirportsOM system was designed to realize exploratory analysis of flight operation characteristics from overview to details. Case analysis and user evaluation show that the above visual analysis method can effectively help analysts quickly obtain the problems of airport cluster and the time nodes of abnormal situations, so as to make guiding suggestions for airport'cooperation.