In order to accurately reflect the impact of information dissemination on material requirements and to effectively optimize the route of distribution vehicles, a demand prediction model based on the two-layer spread network and an improved discrete artificial bee colony algorithm (evolutionary bee colony algorithm) were constructed. Firstly, based on the analysis of the relationship between the event layer and the information layer in the spread network, a material demand prediction model was established. Then, by the evolutionary bee colony algorithm, good information was screened according to fitness value and historical evolutionary, and the crossover operator and mutation operator were integrated to make honey sources continuously evolve, so as to fully extract the colony value and effectively improve the iterative efficiency. The simulation experiment results show that emergency supplies can be efficiently delivered to the required areas in a short time, thus verifying that the proposed model and algorithm can effectively solve the multi-objective optimization problem of the emergency vehicle route design under the influence of information dissemination.