Aiming at the problems such as traffic limitation and demand uncertainty in the process of city distribution, this paper divides the distribution process into initial stage and dynamic replenishment stage, and studies the optimization of the two-echelon dynamic vehicle routing of the hub logistics center, the distribution logistics center and customers. Taking into account the dynamic events, this paper proposes a proactive demand quota strategy and a responsive replenishment strategy, and establishes the mathematical model of the two-echelon dynamic vehicle routing problem in dynamic circumstance. A tabu search algorithm based on a fusion scan operator is designed to optimize the delivery route in the initial stage. Meanwhile, according to the scene dynamic degree, this paper raises a repair/update dynamic customer response strategy to respond quickly to the dynamic demand. Finally, a simulation example is given to illustrate, the effectiveness of the proposed model and algorithm. The experimental results demonstrate that the proposed scheduling strategy can effectively reduce the dynamic client interference on the initial path of low-dynamism scenario and simplify the path optimization complexity of high-dynamism scenarios.