Urban parcel deliveries can benefit from the spare capacity available in public transport and autonomous shuttle services. We study the tactical capacity and resource deployment problem faced by an urban logistics orchestrator operating such a shared passenger–freight multimodal network. We model this setting as a two-stage stochastic program: first-stage decisions fix weekly capacity and resource levels, while second-stage recourse routes containers, parcels, and triggers fallback deliveries when disruptions occur. The objective is to maximize expected profit by balancing revenues from LSPs with tactical reservation costs and operational fallback costs.