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A network design optimization problem for ro-ro freight transport in the Tyrrhenian area

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Roll-on Roll-of (Ro-Ro) transport is one of the primary options EU policy is focusing on for developing intermodal transport and MOS initiatives, aimed at reducing road transport (especially trucks). In line with EU guidelines, this study proposes an integrated and optimized network scheme for the maritime Ro-Ro freight services currently operating in the Italian Tyrrhenian area to improve the overall supply of shipping services. The methodological approach used is based on the integration of the timetables and frequencies of existing freight shipping services using an original mathematical model that assigns demand flows to the network while trying to minimize a multi-objective function composed of a weighted sum of travel times and tariffs. Quantitative results show the positive impact generated by rescheduling and coordinating liner shipping and demonstrate how a ‘Tyrrhenian network system' considered as a whole would be more attractive than the single services taken collectively.
Czasopismo
Rocznik
Strony
63--75
Opis fizyczny
Bibliogr. 28 poz.
Twórcy
  • University of Cagliari, DICAAR – Department of Civil and Environmental Engineering and Architecture via Marengo 2, 09123 Cagliari, Italy
  • University of Cagliari, DICAAR – Department of Civil and Environmental Engineering and Architecture via Marengo 2, 09123 Cagliari, Italy
  • University of Cagliari, DIMATINF – Department of Mathematics and Computer Science via Ospedale 72, 09123 Cagliari, Italy
Bibliografia
  • 1. Fadda, P. & Fancello, G. & Pani, C. & Serra, P. The OPTIMED project: A new Mediterranean hub-based ro-ro network. In: Transport Infrastructure and Systems: Proceedings of the AIIT International Congress on Transport Infrastructure and Systems. 2017.
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  • 4. Paixao, A.C. & Marlow, P.B. Strengths and weaknesses of short sea shipping. Marine Policy. 2002. Vol. 26, No. 3, P.167-178.
  • 5. Wang, S., & Meng, Q. Liner ship fleet deployment with container transshipment operations. Transportation Research Part E: Logistics and Transportation Review. 2012. Vol. 48. No. 2 , P. 470-484.
  • 6. Ducruet, C. & Notteboom, T. The worldwide maritime network of container shipping: spatial structure and regional dynamics. Global networks. 2012. Vol. 12. No.3. P. 395-423.
  • 7. Ameln, M. & Fuglum, J.S. The Liner Shipping Network Design Problem: Strengthened formulations considering complex route structures, transhipment and transit time. Master thesis. Norwegian University of Science and Technology (NTNU). 2015.
  • 8. Meng, Q. & Wang, S. Liner shipping service network design with empty container repositioning. Transportation Research Part E. 2011. Vol. 47. No. 5. P. 695-708.
  • 9. Imai, A. & Shintani, K. & Papadimitriou, S. Multi-port vs. Hub-and-Spoke port calls by containerships. Transportation Research Part E. 2009. Vol. 45. No. 5. P. 740-757.
  • 10. Gelareh, S. & Pisinger, D. Fleet deployment, network design and hub location of liner shipping comp. Transportation Research Part E. 2011. Vol. 47. No. 6. P. 947-964.
  • 11. Fagerholt, K. Optimal fleet design in a ship routing problem. International Transactions in Operational Research. 1999. Vol. 6. No. 5. P. 453-464.
  • 12. Mourao, M.C. & Pato, M.V. & Paixao, A.C. Ship assignment with hub and spoke constraints. Maritime Policy and Management. 2001. Vol. 29. No. 2. P. 135-150.
  • 13. Ningwen, T. & Dimas, A. & Xiaowen, F. & Zhi-Chun, L. Shipping network design in a growth market: The case of Indonesia. Transportation Research Part E. 2018. Vol. 117. P. 108-125.
  • 14. Christiansen, M. & Fagerholt, K. & Ronen, D. Ship routing and scheduling: Status and perspectives. Transportation science. 2014. Vol. 38. No. 1. P. 1-18.
  • 15. Christiansen, M. & Fagerholt, K. & Nygreen, B. & Ronen, D. Ship routing and scheduling in the new millennium. European Journal of Operational Research. 2013. Vol. 228. No. 3. P. 467-483.
  • 16. Brouer, B.D. & Alvarez, J.F. & Plum, C.E.M. & Pisinger, D. & Sigurd M.M. A Base Integer Programming Model and Benchmark Suite for Liner-Shipping Network Design. Transportation Science. 2014. Vol. 48, No. 2. P. 281-312.
  • 17. Agarwal, R. & Ergun, O, Ship Scheduling and Network Design for Cargo Routing in Liner Shipping. Transportation Science. 2008. Vol. 42. No. 2. P. 175-196.
  • 18. Zheng, J. & Meng, Q. & Sun, Z., Liner hub-and-spoke shipping network design. Transportation Research Part E: Logistics and Transportation Review. 2015. Vol. 75. P. 32-48.
  • 19. Reinhardt, B.L. & Pisinger D. A branch and cut algorithm for the container shipping network design problem. Flexible Services and Manufacturing Journal. 2012. Vol. 24. No. 3. P. 349-374.
  • 20. Gelareh, S. & Nickel, S. & Pisinger, D. Liner shipping hub network design in a competitive environment. Transportation Research Part E: Logistics and Transportation Review. 2010. Vol. 46. No. 6. P. 991-1004.
  • 21. Agarwal, R. & Ergun, O., Network Design and Allocation Mechanisms for Carrier Alliances in Liner Shipping. Operations Research. 2010. Vol. 58. No. 6. P. 1726-1742.
  • 22. Asgari, N., Farahani, R.Z., & Goh, M. Network design approach for hub ports-shipping companies competition and cooperation. Transportation Research Part A: Policy and Practice. 2013. Vol. 48. P. 1-18.
  • 23. Wang, S. & Meng, Q. Liner shipping network design with deadlines, Computers & Operations Research. 2014. Vol. 41. P. 140-149.
  • 24. Wilmsmeier, G. & Martinez-Zarzoso, I. Determinants of maritime transport costs–a panel data analysis for Latin American trade. Transportation Planning and Technology. 2010. Vol. 33. No. 1. P.105-121.
  • 25. Button, K. Transport economics. Edward Elgar Publishing. 2010.
  • 26. Fancello, G. & Schintu, A. & Serra, P. An experimental analysis of Mediterranean supply chains through the use of cost KPIs. Transportation Research Procedia. 2018. Vol. 30. P. 137-146.
  • 27. Lupi, M. & Farina, A. & Orsi, D. & Pratelli, A. The capability of Motorways of the Sea of being competitive against road transport. The case of the Italian mainland and Sicily. Journal of Transport Geography. 2017. Vol. 58. P. 9-21.
  • 28. Acciaro, M. & Serra, P. Strategic determinants of terminal operating system choice: an empirical approach using multinomial analysis. Transportation Research Procedia. 2014. Vol. 3. P. 592-601.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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