Background: Sustainability is a critical concern in transportation, notably in light of governmental initiatives such as cap-and-trade systems and eco-label regulations aimed at reducing emissions. In this context, collaborative approaches among carriers, which involve the exchange of shipment requests, are increasingly recognized as effective strategies to enhance efficiency and reduce environmental impact. Methods: This research proposes a novel collaborative planning model for multimodal transport designed to minimize the total costs associated with freight movements, including both transportation and 𝐶𝑂2 emissions costs. Transshipments of freight between vehicles are modeled in the proposed formulation, promoting carrier coalitions. This study incorporated eco-labels, representing different emission ranges, to capture shipper sustainability preferences and integrated authority-imposed low-emission zones as constraints. A bi-objective approach was adopted, combining transportation and emission costs through a weighted sum method. Results: A case study on the Naples Bypass network (Italy) is presented, highlighting the model’s applicability in a real-world setting and demonstrating the effectiveness of collaborative transport planning. In addition, the model quantified the benefits of collaboration under low-emission zone (LEZ) constraints, showing notable reductions in both total costs and emissions. Conclusions: Overall, the proposed approach offers a valuable decision support tool for both carriers and policymakers, enabling sustainable freight transportation planning.

Fleet Coalitions: A Collaborative Planning Model Balancing Economic and Environmental Costs for Sustainable Multimodal Transport / Pala, Anna Laura; Stecca, Giuseppe. - In: LOGISTICS. - ISSN 2305-6290. - 9:3(2025). [10.3390/logistics9030091]

Fleet Coalitions: A Collaborative Planning Model Balancing Economic and Environmental Costs for Sustainable Multimodal Transport

Anna Laura Pala
Primo
;
2025

Abstract

Background: Sustainability is a critical concern in transportation, notably in light of governmental initiatives such as cap-and-trade systems and eco-label regulations aimed at reducing emissions. In this context, collaborative approaches among carriers, which involve the exchange of shipment requests, are increasingly recognized as effective strategies to enhance efficiency and reduce environmental impact. Methods: This research proposes a novel collaborative planning model for multimodal transport designed to minimize the total costs associated with freight movements, including both transportation and 𝐶𝑂2 emissions costs. Transshipments of freight between vehicles are modeled in the proposed formulation, promoting carrier coalitions. This study incorporated eco-labels, representing different emission ranges, to capture shipper sustainability preferences and integrated authority-imposed low-emission zones as constraints. A bi-objective approach was adopted, combining transportation and emission costs through a weighted sum method. Results: A case study on the Naples Bypass network (Italy) is presented, highlighting the model’s applicability in a real-world setting and demonstrating the effectiveness of collaborative transport planning. In addition, the model quantified the benefits of collaboration under low-emission zone (LEZ) constraints, showing notable reductions in both total costs and emissions. Conclusions: Overall, the proposed approach offers a valuable decision support tool for both carriers and policymakers, enabling sustainable freight transportation planning.
2025
collaborative transport; eco-labels; biobjective problem; mathematical modeling; sustainable mobility
01 Pubblicazione su rivista::01a Articolo in rivista
Fleet Coalitions: A Collaborative Planning Model Balancing Economic and Environmental Costs for Sustainable Multimodal Transport / Pala, Anna Laura; Stecca, Giuseppe. - In: LOGISTICS. - ISSN 2305-6290. - 9:3(2025). [10.3390/logistics9030091]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1726234
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