This paper presents the multimodal vulnerability network model (MVNM), which determines the critical links to assess the effects of multimodality on disruption management. Therefore, we combine a path-based multicommodity approach with timetable sensitive passenger routing to optimally adjust the operating services under disruptions. The resulting MVNM is solved by combining multi-column generation and row generation, to iteratively identify beneficial passenger routes and disruption management measures. The MNVM is applied on the long-distance air-rail network of Spain. The results show, that multimodality increases the survivability of a network. However, multimodal networks appear to be more vulnerable under few disruptions.