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APPLICATION OF THE LOGISTIC FUNCTION TO ASSESS THE IMPACT OF THE ENVIRONMENT ON SEA FERRY, CRUISE LINES AND MARINE PASSENGER TERMINALS

https://doi.org/10.21821/2309-5180-2020-12-4-627-639

Abstract

The market of sea ferry transportation and the market of sea cruises have been investigated as one of the most promising and rapidly developing markets for international sea transportation. It is noted that the development of infrastructure is limited, on the one hand, by the internal processes and resources of each terminal, and on the other hand, by the need to respond to calls from the external environment surrounding the terminals. The size of cruise and ferry ships is increasing and the trend for population mobility continues and even increases. It is emphasized that sea passenger ports are being integrated into the transport systems of cities and regions. The existence of sufficiently developed mathematical forecasting models in the class of polynomial models, probabilistic series and other techniques that do not take into account, to a sufficient extent, the influence of the external environment, is noted. It is noted that the interests of passengers directly influence the sphere of sea passenger transportation. Therefore, the development of research and forecasting methods is relevant. The existing trends for an increase in passenger traffic are considered and the necessary statistical information on the ports and terminals of the Adriatic and Baltic Seas is presented. The developed scheme of interaction between the participants of the cruise market and the mathematical model of the port as a technical system are presented. The logistic function proposed for use in assessing the external environment has been substantiated. To determine the area of its use, a scheme for dividing the strategic and operational levels of functioning for sea passenger ports is given. A new mathematical model is considered and the main equation of the logistic function is derived. The boundary conditions for the applicability of the model are analyzed. The analytical data for the study are selected ship calls at the Passenger Port of St. Petersburg «Marine Facade» in 2019 and planned ship calls in 2020. To simulate the situation, a new consideration of various proportionality coefficients determining the demand for cruise and ferry transportation is proposed. For different values, modeling is performed in the interval of short-term forecasting. Based on the results obtained, the attractiveness conditions of the corresponding cruises and the speed of cruises purchase by passengers are formed. A complete model, taking into account the real timetable of the sea passenger port, is presented.

About the Authors

N. N. Maiorov
Saint-Petersburg State University of Aerospace Instrumentation
Russian Federation


V. A. Fetisov
Saint-Petersburg State University of Aerospace Instrumentation
Russian Federation


References

1. Майоров Н. Н. Прогнозирование развития морских пассажирских терминалов и сети паромных линий в регионе Балтийского моря / Н. Н. Майоров // Вестник Государственного университета морского и речного флота имени адмирала С. О. Макарова. - 2018. - Т. 10. - № 6. - C. 1299-1311. DOI: 10.21821/2309-5180-2018-10-6-1299-1311.

2. Baltic LINes: Shipping in the Baltic Sea - Past, present and future developments relevant for Maritime Spatial Planning. Project Report I. - 2016. - 35 p.

3. Cruise Europe. Port Handbook. - 2018 [Электронный ресурс]. - Режим доступа: http://www.cruiseeurope.com/ (дата обращения: 15.03.2020).

4. Krile S. Optimization Approach in Multi-stop Routing of Small Islands / S. Krile// Zeszyty Naukowe Akademii Morskiej w Szczecinie. - 2018. - Nr. 54 (126). - Pp. 9-16. DOI: 10.17402/28.

5. Mascaraque-Ramírez C. Management of a Ferry Construction Project Using a Production-Oriented Design Methodology / C. Mascaraque-Ramírez, L. Para-González, P. Marco-Jornet // Journal of Ship Production and Design. - 2019. - Vol. 35. - Is. 4. - Pp. 309-316.

6. Cruise Industry 101 [Электронный ресурс]. - Режим доступа https://www.cruiseindustrynews.com/pdf (дата обращения: 15.03.2020).

7. Passengers transported to/from main ports - Croatia - quarterly data [Электронный ресурс]. - Режим доступа: http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=mar_pa_qm_hr&lang=en (дата обращения: 01.04.2020).

8. MSC Cruises объявила о планах строительства нового круизного терминала в порту Майами [Электронный ресурс. - Режим доступа: http://www.cruiseluxe.ru/news/12135/ (дата обращения: 15.04.2020).

9. Barron P. Issues determining the development of cruise itineraries: A focus on the luxury market / P. Barron, A. B. Greenwood // Tourism in Marine Environments. - 2006. - Vol. 3. - Num. 2. - Pp. 89-99. DOI: 10.3727/154427306779435238.

10. Passenger Port of Saint-Petersburg “Marine Façade” [Электронный ресурс]. - Режим доступа: https://www.portspb.ru/ (дата обращения: 16.04.2020).

11. Maiorov N. N. Improvement of the quality of the sea passenger terminal based on methods of forecasting / N. N. Maiorov, V. A. Fetisov // NAŠE MORE: znanstveno-stručni časopis za more i pomorstvo. - 2018. - Vol. 65. - No. 3. - Pp. 135-140. DOI: 10.17818/NM/2018/3.1.

12. Wheelwright S. Forecasting: methods and applications / S. Wheelwright, S. Makridakis, R. J. Hyndman. - John Wiley & Sons, 1998. - 656 p.

13. Agarwal R. Ship Scheduling and Network Design for Cargo Routing in Liner Shipping / R. Agarwal, O. Ergun // Transportation Science. - 2008. - Vol. 42. - Is. 2. - Pp. 175-196. DOI: 10.1287/trsc.1070.0205.

14. круизных трендов 2019 года [Электронный ресурс]. - Режим доступа https://inflotcruises.com/ru/news/view/news-cruise-trends-2019 (дата обращения: 10.02.2020).

15. Сольницев Р. И. Модели и методы принятия проектных решений / Р. И. Сольницев. - СПб.: ЛЭТИ, 2010. - 68 c.

16. Helbing D. Social force model for pedestrian dynamics / D. Helbing, P. Molnar // Physical review E. - 1995. - Vol. 51. - Is. 5. - Pp. 4282-4286. DOI:10.1103/PhysRevE.51.4282.

17. Ronald N. Pedestrian modelling: A comparative study using agent-based cellular automata / N. Ronald, M. Kirley // International Conference on Computational Science. - Springer, Berlin, Heidelberg, 2006. - С. 248-255. DOI: 10.1007/11758532_35.

18. Vassalos D. A mesoscopic model for passenger evacuation in a virtual ship-sea environment and performance-based evaluation / D. Vassalos, H. Kim, G. Christiansen, J. Majumder // Pedestrian and Evacuation Dynamics. - Springer Netherlands, 2002. - Pp. 369-391.

19. Майоров Н. Н. Планирование работы морского пассажирского терминала на основе исследования интенсивностей заходов круизных судов / Н. Н. Майоров, В. А. Фетисов // Вестник Астраханского государственного технического университета. Серия: Морская техника и технология. - 2019. - № 3. - С. 120-128. DOI: 10.24143/2073-1574-2019-3-120-128.

20. Song D. W. Maritime logistics: a complete guide to effective shipping and port management / D. W. Song, Panayides. - Kogan Page, 2012. - 344 p.

21. Mulder J. Methods for strategic liner shipping network design / J. Mulder, R. Dekker // European Journal of Operational Research. - 2014. - Vol. 235. - Is. 2. - Pp. 367-377. DOI: 10.1016/j.ejor.2013.09.041.

22. Rzadkowski G. A new approach to the logistic function with some applications / G. Rzadkowski, Głażewska, K. Sawińska // Foundations of Management. - 2014. - Vol. 6. - Is. 1. - Pp. 57-70.

23. News of Norwegian Cruise Line [Электронный ресурс]. - Режим доступа: http://www.cruiseluxe.ru/news/12261/ (дата обращения: 15.04.2020).

24. Майоров Н. Н. Моделирование состояний морского терминала на основе дискретизации процессов / Н. Н. Майоров // Вестник Государственного университета морского и речного флота имени адмирала С. О. Макарова. - 2018. - Т. 10. - № 1. - С. 20-29. DOI: 10.21821/2309-5180-2018-10-1-20-29.


Review

For citations:


Maiorov N.N., Fetisov V.A. APPLICATION OF THE LOGISTIC FUNCTION TO ASSESS THE IMPACT OF THE ENVIRONMENT ON SEA FERRY, CRUISE LINES AND MARINE PASSENGER TERMINALS. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2020;12(4):627-639. (In Russ.) https://doi.org/10.21821/2309-5180-2020-12-4-627-639

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ISSN 2309-5180 (Print)
ISSN 2500-0551 (Online)