Production, health, transport and goods systems have been severely affected by recent health crises, and continue to be so in the face of current climatic and geopolitical disruptions. In this unstable context, it is essential not only to ensure their robustness, but also to reinforce their resilience. Many works in the literature deal with the robustness of systems, but very few focus on proposals related to resilience. We therefore propose to approach this concept within the framework of a multimodal transport network modeled by a multilayer network. We develop a resilience strategy based on the curvature-core decomposition of the network and compare it with a random decision strategy and a decision strategy based on maximum transport capacities. The results show that the strategy based on the curvature-core of the multilayer network enables a better decision to be made, avoiding congestion and link saturation during reconstruction, and finally enabling a balance in the distribution of flows.