In order to effectively evaluate the transportation service performance of HSRN and ensure the reliability of HSRN in the face of emergencies，based on complex network theory，a robustness evaluation method considering temporal and spatial dynamic characteristics was proposed. The dynamic changes of HSRSN was considered，and time information was incorporated into the modeling of HSRSN. Based on empirical operation data of high-speed railways in China，the necessity of considering spatiotemporal dynamic characteristics to evaluate network performance was verified，and the distribution characteristics of HSRN robustness in China were explored from the spatiotemporal dimension. The experimental results show that the train flow passing through different stations is different，and the network robustness exhibits a significant spatial distribution difference. Moreover，the disturbance scenarios are different，and the contribution of train frequency and spatial position of stations to the importance of stations is also different. In addition，the occurrence time and duration of disturbances are two key time factors that affect network robustness. Their different combinations result in significant time distribution differences in network robustness. The impact of disturbances on network performance varies at different time periods，resulting in obvious fluctuations in station importance ranking at different time periods.