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A model optimizing the port-hinterland logistics of containers: The case of the Campania region in Southern Italy

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  • Fedele Iannone

    (Institute for Service Industry Research (IRAT), Italian National Research Council (CNR), Naples, Italy.)

Abstract

This article presents an optimization model for the economic analysis and strategic planning of port-hinterland container logistics systems. The model was employed to investigate the inland multimodal distribution of import/export containers handled at the seaports located in the Campania region of Southern Italy. The loading units can transit through the regional off-dock intermodal and logistic facilities called ‘interports’, as well as through extra-regional locations which have a railway terminal, before reaching the final inland destinations or the seaports. The model mainly aims at highlighting and measuring possible advantages arising both from shifting the seaport exit/entry of containers to regional interports, and from employing intermodal solutions for inland distribution. The programming problem minimizes the sum of all container-related generalized logistic costs throughout the entire multimodal port-hinterland network. The logistic costs include transportation costs (by road and railway), terminal handling and storage costs, customs control costs, in-transit inventory holding costs and container leasing costs. A numerical prototype has been formulated and solved using a high-level programming language for large-scale mathematical optimization problems. The results demonstrate how the competitiveness of the regional container seaport cluster can be boosted by an interport-based extended gateway system with adequate customs facilities and improved railway connections.

Suggested Citation

  • Fedele Iannone, 2012. "A model optimizing the port-hinterland logistics of containers: The case of the Campania region in Southern Italy," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(1), pages 33-72, March.
    • Handle: RePEc:pal:marecl:v:14:y:2012:i:1:p:33-72
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    Citations

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    Cited by:

    1. Khandaker Rasel Hasan & Wei Zhang & Wenming Shi, 2021. "Barriers to intermodal freight diversion: a total logistics cost approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 569-586, September.
    2. Behzad Behdani & Bart Wiegmans & Violeta Roso & Hercules Haralambides, 2020. "Port-hinterland transport and logistics: emerging trends and frontier research," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(1), pages 1-25, March.
    3. Iannone, Fedele, 2012. "The private and social cost efficiency of port hinterland container distribution through a regional logistics system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1424-1448.
    4. Jason Monios & Gordon Wilmsmeier, 2014. "The Impact of Container Type Diversification on Regional British Port Development Strategies," Transport Reviews, Taylor & Francis Journals, vol. 34(5), pages 583-606, September.
    5. Tsao, Yu-Chung & Thanh, Vo-Van, 2019. "A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 13-39.
    6. Bernard G. Zweers & Sandjai Bhulai & Rob D. van der Mei, 2019. "Optimizing barge utilization in hinterland container transportation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 253-271, April.
    7. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2019. "Planning an Intermodal Terminal for the Sustainable Transport Networks," Sustainability, MDPI, vol. 11(15), pages 1-20, July.
    8. Vitalii Naumov & Igor Taran & Yana Litvinova & Marek Bauer, 2020. "Optimizing Resources of Multimodal Transport Terminal for Material Flow Service," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    9. Koliousis, Ioannis G. & Papadimitriou, Stratos & Riza, Elena & Stavroulakis, Peter J. & Tsioumas, Vangelis, 2019. "Strategic correlations for maritime clusters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 43-57.
    10. 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.
    11. Izabela Kotowska & Marta Mankowska & Michal Plucinski, 2020. "The Decision Tree Approach for the Choice of Freight Transport Mode: The Shippers’ Perspective in Terms of Seaport Hinterland Connections," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 446-459.

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