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A strategic model of port-hinterland freight distribution networks

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  • Halim, Ronald A.
  • Kwakkel, Jan H.
  • Tavasszy, Lóránt A.

Abstract

This paper presents a strategic model for port-hinterland freight distribution networks. The approach utilizes a combination of a multi-objective optimization model to estimate locations and networks of distribution centers and an assignment model that recognizes distributed service level preferences. Our example application concerns the European continent and is transferable to other regions. The model calibration is able to explain the European port-hinterland distribution structures satisfactorily. We compute novel performance measures that take into account port-hinterland distribution structures. The measures include port-hinterland transport cost, port-hinterland transport time, and distribution center-hinterland transport time. These measures can provide inputs for port-connectivity studies.

Suggested Citation

  • Halim, Ronald A. & Kwakkel, Jan H. & Tavasszy, Lóránt A., 2016. "A strategic model of port-hinterland freight distribution networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 368-384.
    • Handle: RePEc:eee:transe:v:95:y:2016:i:c:p:368-384
    DOI: 10.1016/j.tre.2016.05.014
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    Cited by:

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    2. Jordi Caballé Valls & Peter W. Langen & Lorena García Alonso & José Ángel Vallejo Pinto, 2020. "Understanding Port Choice Determinants and Port Hinterlands: Findings from an Empirical Analysis of Spain," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(1), pages 53-67, March.
    3. Justin Berli & Mattia Bunel & César Ducruet, 2018. "Sea-Land Interdependence in the Global Maritime Network: the Case of Australian Port Cities," Networks and Spatial Economics, Springer, vol. 18(3), pages 447-471, September.
    4. Jafino, Bramka Arga, 2021. "An equity-based transport network criticality analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 204-221.
    5. Golghamat Raad, Nima & Rajendran, Suchithra, 2024. "A hybrid scenario-based fuzzy stochastic model for closed-loop dry port network design with multiple robustness measures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    6. Moura, Ticiana Grecco Zanon & Garcia-Alonso, Lorena & del Rosal, Ignacio, 2018. "Influence of the geographical pattern of foreign trade on the inland distribution of maritime traffic," Journal of Transport Geography, Elsevier, vol. 72(C), pages 191-200.
    7. Guido Perboli & Stefano Musso & Mariangela Rosano & Roberto Tadei & Moritz Godel, 2017. "Synchro-Modality and Slow Steaming: New Business Perspectives in Freight Transportation," Sustainability, MDPI, vol. 9(10), pages 1-24, October.
    8. Irannezhad, Elnaz & Prato, Carlo & Hickman, Mark, 2019. "A joint hybrid model of the choices of container terminals and of dwell time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 119-133.
    9. Justin Berli & Mattia Bunel & César Ducruet, 2018. "Sea-Land Interdependence in the Global Maritime Network: the Case of Australian Port Cities," Post-Print hal-01806692, HAL.

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