In order to improve the robustness of the network composed of different modes of urban public transport, from the aspects of construction cost of public transport line, total travel time of passengers and total transfer times of passengers to construct the service performance model of public transport network. On this basis, it determined the robustness of the public transport network by calculating the D-value between the target value and the expected value. Due to the existence of uncertain demand, this paper improved the mutation operation based on the traditional immune clonal algorithm to solve the optimization model. It is found that the parameters of route construction cost, total passenger travel time and total passenger transfer times have a significant impact on the optimization results. In addition, the robustness parameters also have a certain impact on the calculation results. From the case study, it verifies the feasibility of the optimization method and found some problems that need to be improved.

[2020-07-05] Printed Article /doc/2018.12.0935/v2