To solve the problem of electric vertical take-off and landing（eVTOL） operational planning and capacity estimation in a vertiport. Firstly, the operation task network was constructed by sorting out the layout structure of the vertiport. Then, based on the multi-commodity flow model and the entry and departure times of each node were set to construct the operational task planning model. The best task planning was taken as the optimization objective, and the node occupation time was taken as a constraint. Following the model's construction, a standard vertiport was utilized as an example, the problem was programmed and solved using Python and Gurobi, and the vertiport's maximum capacity as well as its influencing factors were computed and examined. The results show that the constructed task planning model is feasible. Regarding the variables influencing vertical take-off and landing airport capacity, when pad utilization is low, adding one gate can increase the capacity of three flights and provide a maximum capacity resilience of 100 seconds for vertiport; when boarding gate utilization is low, adding one pad can provide the capacity of seven flights for vertiport, and by reducing the take-off and landing time by thirty seconds, it can provide an average of three flights of capacity for vertiport. It can be seen that the research results are helpful for the estimation of vertiport capacity and provide a modeling idea for operational planning of eVTOL in vertiport.