Around the world, many cities are struggling with the negative effects of urban freight transport,such as congestion and emissions. To mitigate these negative effects, both innovative solutions,such as urban consolidation centers, and regulations, such as city toll schemes and delivery timewindows, can be adopted. In this paper, we investigate the impact of city toll regulations on thevehicle routing and transshipment decisions of logistics service providers. We present a mixed-integer linear programming formulation and an adaptive large neighborhood search heuristicthat address the interdependent decisions of vehicle routing and the use of urban consolidationcenters, taking into account city toll schemes and time window constraints. In this context,we consider heterogeneous fleets, multiple trips per vehicle, and use a multigraph to addressthe trade-off between fastest and cheapest paths. We validate the adaptive large neighborhoodsearch by comparing it with the mixed-integer linear programming model on test instances withup to 20 customers. To analyze how city toll schemes affect the cost attractiveness of urbanconsolidation centers and the fleet composition of logistics service providers, we conduct anextensive computational study featuring real-world instances that provide managerial insightsfor both local administrations and logistics service providers. Our results show that both per-day and per-entrance tolls can be used by local administrations to support the use of urbanconsolidation centers and that the number of truck entries into urban areas can be reduced.However, our results also indicate that due to the transshipment fee per unit load, the costattractiveness of using urban consolidation centers is considerably lower for logistics service providers with larger delivery quantities per stop