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Managing the Ship Movements in the Port of Venice

Author

Listed:
  • Elio Canestrelli

    (Ca’ Foscari University of Venice)

  • Marco Corazza

    (Ca’ Foscari University of Venice)

  • Giuseppe Nadai

    (Ca’ Foscari University of Venice)

  • Raffaele Pesenti

    (Ca’ Foscari University of Venice)

Abstract

The new mobile gates at the inlets of the Venice lagoon and the new previous environmental laws issued in response of the Costa Concordia wreckage in 2012 have forced the Port Authority of Venice to rethink the harbor activities. In this paper, we tackle the Port Scheduling Problem that the Port Authority faces in scheduling both ships’ and tugs’ movements within its canal harbor in this new context. We introduce the problem, explain which data it needs, and provide the description of an original heuristic algorithm for its solution. Finally, we present some practical applications.

Suggested Citation

  • Elio Canestrelli & Marco Corazza & Giuseppe Nadai & Raffaele Pesenti, 2017. "Managing the Ship Movements in the Port of Venice," Networks and Spatial Economics, Springer, vol. 17(3), pages 861-887, September.
  • Handle: RePEc:kap:netspa:v:17:y:2017:i:3:d:10.1007_s11067-017-9350-5
    DOI: 10.1007/s11067-017-9350-5
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    1. Ricardo Gatica & Pablo Miranda, 2011. "Special Issue on Latin-American Research: A Time Based Discretization Approach for Ship Routing and Scheduling with Variable Speed," Networks and Spatial Economics, Springer, vol. 11(3), pages 465-485, September.
    2. Nauss, Robert M., 2008. "Optimal sequencing in the presence of setup times for tow/barge traffic through a river lock," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1268-1281, June.
    3. Zhou, Xuesong & Zhong, Ming, 2007. "Single-track train timetabling with guaranteed optimality: Branch-and-bound algorithms with enhanced lower bounds," Transportation Research Part B: Methodological, Elsevier, vol. 41(3), pages 320-341, March.
    4. Loon Tang & Joyce Low & Shao Lam, 2011. "Understanding Port Choice Behavior—A Network Perspective," Networks and Spatial Economics, Springer, vol. 11(1), pages 65-82, March.
    5. Carey, Malachy & Crawford, Ivan, 2007. "Scheduling trains on a network of busy complex stations," Transportation Research Part B: Methodological, Elsevier, vol. 41(2), pages 159-178, February.
    6. Andrea D’Ariano & Marco Pranzo, 2009. "An Advanced Real-Time Train Dispatching System for Minimizing the Propagation of Delays in a Dispatching Area Under Severe Disturbances," Networks and Spatial Economics, Springer, vol. 9(1), pages 63-84, March.
    7. Mihalis M Golias & Georgios K Saharidis & Maria Boile & Sotirios Theofanis & Marianthi G Ierapetritou, 2009. "The berth allocation problem: Optimizing vessel arrival time," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(4), pages 358-377, December.
    8. Jean-François Cordeau & Gilbert Laporte & Pasquale Legato & Luigi Moccia, 2005. "Models and Tabu Search Heuristics for the Berth-Allocation Problem," Transportation Science, INFORMS, vol. 39(4), pages 526-538, November.
    9. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    10. Nicola Nosengo, 2003. "Save Our City!," Nature, Nature, vol. 424(6949), pages 608-609, August.
    11. E. R. Petersen & A. J. Taylor, 1988. "An Optimal Scheduling System for the Welland Canal," Transportation Science, INFORMS, vol. 22(3), pages 173-185, August.
    12. Wang, Shuaian & Meng, Qiang, 2012. "Robust schedule design for liner shipping services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1093-1106.
    13. Simone Caschili & Francesca Medda & Francesco Parola & Claudio Ferrari, 2014. "An Analysis of Shipping Agreements: The Cooperative Container Network," Networks and Spatial Economics, Springer, vol. 14(3), pages 357-377, December.
    14. Jean-François Cordeau & Paolo Toth & Daniele Vigo, 1998. "A Survey of Optimization Models for Train Routing and Scheduling," Transportation Science, INFORMS, vol. 32(4), pages 380-404, November.
    15. Acuna-Agost, Rodrigo & Michelon, Philippe & Feillet, Dominique & Gueye, Serigne, 2011. "SAPI: Statistical Analysis of Propagation of Incidents. A new approach for rescheduling trains after disruptions," European Journal of Operational Research, Elsevier, vol. 215(1), pages 227-243, November.
    16. Yuquan Du & Qiushuang Chen & Jasmine Siu Lee Lam & Ya Xu & Jin Xin Cao, 2015. "Modeling the Impacts of Tides and the Virtual Arrival Policy in Berth Allocation," Transportation Science, INFORMS, vol. 49(4), pages 939-956, November.
    17. Akio Imai & Jin-Tao Zhang & Etsuko Nishimura & Stratos Papadimitriou, 2007. "The Berth Allocation Problem with Service Time and Delay Time Objectives," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(4), pages 269-290, December.
    18. Alberto Caprara & Matteo Fischetti & Paolo Toth, 2002. "Modeling and Solving the Train Timetabling Problem," Operations Research, INFORMS, vol. 50(5), pages 851-861, October.
    19. Liao, Chun-Hsiung & Tseng, Po-Hsing & Cullinane, Kevin & Lu, Chin-Shan, 2010. "The impact of an emerging port on the carbon dioxide emissions of inland container transport: An empirical study of Taipei port," Energy Policy, Elsevier, vol. 38(9), pages 5251-5257, September.
    20. Balachandran Vaidyanathan & Ravindra K. Ahuja, 2015. "Locomotive Scheduling Problem," International Series in Operations Research & Management Science, in: Bruce W. Patty (ed.), Handbook of Operations Research Applications at Railroads, edition 127, chapter 0, pages 43-56, Springer.
    21. Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2003. "Berth allocation with service priority," Transportation Research Part B: Methodological, Elsevier, vol. 37(5), pages 437-457, June.
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    4. Shangyao Yan & Chung-Cheng Lu & Jun-Hsiao Hsieh & Han-Chun Lin, 2019. "A Dynamic and Flexible Berth Allocation Model with Stochastic Vessel Arrival Times," Networks and Spatial Economics, Springer, vol. 19(3), pages 903-927, September.

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