Collaborative planning for intermodal transport with eco-label preferences

Sustainability is a common concern in intermodal transport. Collaboration among carriers may help reducing emissions. In this context, work establishes collaborative planning model for transport and uses eco-labels (a series of different levels emission ranges) to reflect shippers’ sustainability preferences. A mathematical an Adaptive Large Neighborhood Search heuristic are proposed fuzzy set theory used the preferences towards eco-labels. For multiple carriers, centralized, auction-based collaborative, non-collaborative approaches compared. Real data from barge, train truck European Rhine-Alpine corridor extensive experiments where both unimodal carrier collaboration analyzed. Compared with without eco-labels, number served requests increases emissions decrease significantly as capacity better utilized.