In recent years, logistic transporters and shipping carriers have faced the challenge of balancing objectives like cost, time, and emissions. To explore these trade-offs, we developed a multi-objective, multimodal transportation model. Using a lexicographic approach to prioritize objectives, we focused on one-way flows along the Ontario-Quebec trade corridor from Western Europe. Our model integrates precise data on shipping and receiving ports, container ships, and the Northeastern American rail network. This allows us to analyze mode-specific costs, transit times, and CO2e emissions. Our results highlight, in an international context, the importance of the drayage costs while maritime transport monopolizes a significant share of CO2e emissions due to the interport distance. In that regard, emphasizing multimodality in land-based distribution networks can help alleviate the economic and environmental brunt tied to truck haulage.