A freight transport optimization model for integrated network, service, and policy design
This paper presents a freight transport optimization model that simultaneously incorporates multimodal infrastructure, hub-based service network structures, and the various design objectives of multiple actors. The model has been calibrated and validated using real-life data from the case study of hinterland container transport of the Netherlands, where CO2 pricing, terminal network configuration, and hub-service networks are chosen as the design measures. Policy packages combining multiple types of policies show better network performance as compared with the optimal performance resulting from a single policy type. This illustrates the value of incorporating multiple types of policies simultaneously in freight transport optimization. © 2015 Elsevier Ltd.
Urban Mobility & Environment
To reference this document use:
STL - Sustainable Transport & Logistics
ELSS - Earth, Life and Social Sciences
Mobility & Logistics
Transportation Research Part E: Logistics and Transportation Review, 77, 61-76