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Ferry service network design: optimal fleet size, routing, and scheduling

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  • Lai, M. F.
  • Lo, Hong K.

Abstract

The study formulated a ferry network design problem by considering the optimal fleet size, routing, and scheduling for both direct and multi-stop services. The objective function combines both the operator and passengers' performance measures. Mathematically, the model is formulated as a mixed integer multiple origin-destination network flow problem with ferry capacity constraints. To solve this problem of practical size, this study developed a heuristic algorithm that exploits the polynomial-time performance of shortest path algorithms. Two scenarios of ferry services in Hong Kong were solved to demonstrate the performance of the heuristic algorithm. The results showed that the heuristic produced solutions that were within 1.3% from the CPLEX optimal solutions. The computational time is within tens of seconds even for problem size that is beyond the capability of CPLEX.

Suggested Citation

  • Lai, M. F. & Lo, Hong K., 2004. "Ferry service network design: optimal fleet size, routing, and scheduling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 305-328, May.
    • Handle: RePEc:eee:transa:v:38:y:2004:i:4:p:305-328
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    Cited by:

    1. Bell, Michael G.H. & Pan, Jing-Jing & Teye, Collins & Cheung, Kam-Fung & Perera, Supun, 2020. "An entropy maximizing approach to the ferry network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 15-28.
    2. Bilegan, Ioana C. & Crainic, Teodor Gabriel & Wang, Yunfei, 2022. "Scheduled service network design with revenue management considerations and an intermodal barge transportation illustration," European Journal of Operational Research, Elsevier, vol. 300(1), pages 164-177.
    3. Jardar Andersen & Marielle Christiansen & Teodor Gabriel Crainic & Roar Grønhaug, 2011. "Branch and Price for Service Network Design with Asset Management Constraints," Transportation Science, INFORMS, vol. 45(1), pages 33-49, February.
    4. Lo, Hong K. & An, Kun & Lin, Wei-hua, 2013. "Ferry service network design under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 48-70.
    5. Aslaksen, Ingvild Eide & Svanberg, Elisabeth & Fagerholt, Kjetil & Johnsen, Lennart C. & Meisel, Frank, 2021. "A combined dial-a-ride and fixed schedule ferry service for coastal cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 306-325.
    6. Škurić, Maja & Maraš, Vladislav & Davidović, Tatjana & Radonjić, Aleksandar, 2021. "Optimal allocating and sizing of passenger ferry fleet in maritime transport," Research in Transportation Economics, Elsevier, vol. 90(C).
    7. Pantuso, Giovanni & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A survey on maritime fleet size and mix problems," European Journal of Operational Research, Elsevier, vol. 235(2), pages 341-349.
    8. Mervat Chouman & Teodor Gabriel Crainic, 2015. "Cutting-Plane Matheuristic for Service Network Design with Design-Balanced Requirements," Transportation Science, INFORMS, vol. 49(1), pages 99-113, February.
    9. Ng, ManWo & Lo, Hong K., 2016. "Robust models for transportation service network design," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 378-386.
    10. Hewitt, Mike & Crainic, Teodor Gabriel & Nowak, Maciek & Rei, Walter, 2019. "Scheduled service network design with resource acquisition and management under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 324-343.
    11. Li, Xiangyong & Ding, Yi & Pan, Kai & Jiang, Dapei & Aneja, Y.P., 2020. "Single-path service network design problem with resource constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    12. An, Kun & Lo, Hong K., 2014. "Ferry service network design with stochastic demand under user equilibrium flows," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 70-89.
    13. Amadeu A. Coco & Christophe Duhamel & Andréa Cynthia Santos, 2020. "Modeling and solving the multi-period disruptions scheduling problem on urban networks," Annals of Operations Research, Springer, vol. 285(1), pages 427-443, February.
    14. Wang, David Z.W. & Lo, Hong K., 2008. "Multi-fleet ferry service network design with passenger preferences for differential services," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 798-822, November.
    15. Andersen, Jardar & Crainic, Teodor Gabriel & Christiansen, Marielle, 2009. "Service network design with management and coordination of multiple fleets," European Journal of Operational Research, Elsevier, vol. 193(2), pages 377-389, March.
    16. Teodor Gabriel Crainic & Mike Hewitt & Michel Toulouse & Duc Minh Vu, 2018. "Scheduled service network design with resource acquisition and management," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 277-309, September.
    17. C E Cortés & M Gendreau & D Leng & A Weintraub, 2011. "A simulation-based approach for fleet design in a technician dispatch problem with stochastic demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1510-1523, August.
    18. Li, Xiangyong & Wei, Kai & Guo, Zhaoxia & Wang, Wei & Aneja, Y.P., 2021. "An exact approach for the service network design problem with heterogeneous resource constraints," Omega, Elsevier, vol. 102(C).
    19. An, Kun & Lo, Hong K., 2015. "Robust transit network design with stochastic demand considering development density," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 737-754.

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