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Citation Information : Transport Problems. Volume 16, Issue 4, Pages 207-216, DOI: https://doi.org/10.21307/tp-2021-072
License : (CC BY 4.0)
Received Date : 15-July-2020 / Accepted: 16-December-2021 / Published Online: 24-December-2021
Marine passenger ports and terminals are key transport facilities that influence the development and positioning of a region, city or country. The port infrastructure should provide the world requirements in service of cruise and ferry ships, and ensure the efficiency and convenience in service of passengers and associated cargo flow. This circumstance determines the necessity of infrastructure modernization, and hardware and software renewal. At the same time, the existing equipment in ports and terminals is gradually becoming outdated, hence the necessity of modernization on the basis of development of a decision-making system. This decision-making system should no longer be based on analytical models, but on new digital transport models of sea passenger ports and terminals. These digital models must take into account both passenger handling processes and external processes for handling cruise and ferry ships. The model should have high computational power and take into account the influence of the external environment. These models should answer development forecasting questions and provide an accurate decision-making system for the validity of infrastructure changes. The Passenger Port of Saint Petersburg "Marine Façade” (St. Petersburg) was chosen as the subject of research. To construct a numerical model, port operation intensity, passenger, cruise and ferry vessel handling processes were investigated; port and terminal development strategies and the mutual influence of the "city-port" systems on each other were studied. As a result of the analysis, a new digital transport model of the sea passenger port was built, which has a high level of detail and accuracy of process implementation, high productivity and efficiency of analysis of various infrastructure changes in the port, allowing the inclusion of dynamic changes from the external environment. The numerical model has been fully implemented for this port, and new conclusions have been derived from it. The use of these new models allows justification of infrastructure upgrades and to study the position of the port in the region in relation to competitors' ports. The developed tool allows solving the problem of research on port processes at any level of planning and enables integration into the information systems already existing in ports and terminals.
1. Pesquera, M.A. & Ruiz, J.R. UNCTAD monographs on port management. Sustainable development strategies for cities and ports. New York and Geneva: United Nation. 1996. 41 p.
2. Bird, J. Seaports and Seaport Terminals. London: Hutchinson University Library. 1980. 117 p.
3. Notteboom, Theo E. & Jean-Paul, Rodrigue. Port regionalization: towards a new phase in port development. Maritime Policy & Management. 2005. Vol. 32(3). P. 297-313.
4. Bird, J. The Major Seaports of the United Kingdom London: Hutchinson & Co. 1963. 153 p.
5. Beresford, A.K.C. & Gardner, B.M. & Pettit, S.J. & Naniopoulos, A. & Wooldridge, C.F. The UNCTAD and WORKPORT models of port development: evolution or revolution? Maritime Policy & Management. 2004. Vol. 31(2). P. 93-107.
6. Maiorov, N.N. & Krile, S. & Fetisov, V. Modernization of the infrastructure of marine passenger port based on synthesis of the structure and forecasting development. Sustainability. 2021. Vol. 13(7). P. 1-11. DOI: https://doi.org/10.3390/su13073869.
7. 2020 Cruise Industry 101. Available at: https://www.cruiseindustrynews.com/pdf.
8. 11 cruise trends of 2019. Available at: https://inflotcruises.com/ru/news/view/news-cruise-trends2019.
9. Cruise Market Watch. Growth of the Ocean Cruise Line Industry. 2020. Available at: https://cruisemarketwatch.com/growth/.
10. Ćorluka, G. & Peronja, I. & Tubić, D. Cruise port passenger flow analysis: A cruise port governance perspective. Naše More. 2020. Vol. 67. No. 3. P. 181-191. DOI: 10.17818/NM/2020/3.1.
11. Fruth, M. & Teuteberg, F. Digitization in maritime logistics – What is there and what is missing. Cogent Business& Management. 2017. Vol. (4). No. 1411066. DOI: https://doi.org/10.1080/23311975.2017.1411066.
12. Heilig, L. & Lalla-Ruiz, E. & Voß, S. Digital transformation in maritime ports: analysis and a game theoretic framework. Netnomics. 2017. Vol. 18. P. 227-254. DOI: https://doi.org/10.1007/s11066- 017-9122-x.
13. Alesinskaya, T.V. & Arutyunova, D.V. & Orlova, V.G. & Ilin, I.V. & Shirokova, S.V. Conception BSC for investment support of port and industrial complexes. Academy of Strategic Management Journal. 2017. Vol. 16. Special issue 1. P. 10-20.
14. Norcliffe, G. & Bassett, K. & Hoare, T. The emergence of postmodernism on urban waterfront: Geographical perspectives on changing relationships. Journal of Transport Geography. 1996. Vol. 4. No. 2. P. 123-134.
15. Krile, S. & Maiorov, N. & Fetisov, V. Forecasting of the route network of ferry and cruise lines based on simulation and intelligent transport systems. Transport Problems. 2019. Vol. 14. No. 2. P. 111-121. DOI: 10.20858/tp.2019.14.2.10.
16. Li, X. & Wang, C, & Ducruet, C. Globalization and regionalization: empirical evidence from itinerary structure and port organization of world cruise of Сunard. Sustainability. 2020. Vol. 12. No. 7893. P. 1-17. DOI: 10.3390/su12197893.
17. Passenger Port of Saint-Petersburg “Marine Façade”. Available at: https://www.portspb.ru/.
18. Сольницев, Р.И. Модели и методы принятия проектных решений. Санкт-Петербург: ЛЭТИ. 2010. 68 p. [In Russian: Solnitsev, R.I. The models and methods of design solutions. Saint Petersburg: LETI].
19. Krile, S. & Maiorov, N. & Fetisov, V. Forecasting the operational activities of the sea passenger terminal using intelligent technologies. Transport Problems. 2018. Vol. 13. No. 1. P. 27-36. DOI: 10.21307/tp.2018.13.1.3.
20. Naumova, N.А. Problems of optimisation of flows distribution in the network. Applied Mathematics. 2013. Vol. 3. No. 1. P. 12-19. DOI: 10.5923/j.am.20130301.02.
21. Anylogic. Available at: http://www.anylogic.com/.