A freight transport optimization model for integrated network,service, and policy design |
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| Institution: | 1. Delft University of Technology, Transport and Planning Department, The Netherlands;2. TNO, Sustainable Transport and Logistics Department, The Netherlands;3. Delft University of Technology, Faculty of Technology, Policy and Management, The Netherlands;1. Centre for Maritime Studies, National University of Singapore, 12 Prince George’s Park 118411, Singapore;2. Department of Industrial Systems Engineering, National University of Singapore, 1 Engineering Drive, 2 117576, Singapore;1. Department of Marketing, Quantitative Analysis, and Business Law, Mississippi State University, Mississippi 39762, USA;2. Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore;3. Research Center for Modern Logistics, Graduate School at Yantian Tsinghua University, Yantian 518055, China;1. Department of Technology and Innovation, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark;2. Istituto di Analisi dei Sistemi ed Informatica del Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Roma, Italy;3. Graduate School of System Informatics, Kobe University, l‐1, Rokkodai, Nada, 657-8501 Kobe, Japan;1. Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise, la Logistique et le Transport (CIRRELT), School of Management, Université du Québec à Montréal, Canada;2. Dipartimento di Scienze Statistiche, Sapienza Università di Roma, Italy;3. Istituto per le Applicazioni del Calcolo “Mauro Picone”, Consiglio Nazionale delle Ricerche (CNR), Italy;1. Air Transport and Operations, Faculty of Aerospace Engineering, Delft University of Technology, Delft, Netherlands;2. University of Liege (ULg), HEC Management School, QuantOM, Rue Louvrex 14, 4000 Liège, Belgium;3. Department of Civil Engineering, Rua Luís Reis Santos – Polo II, University of Coimbra, 3030-788 Coimbra, Portugal |
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| Abstract: | 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. |
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| Keywords: | Freight transport Intermodal transport Network design Optimization Container transport |
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