Preview

Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova

Advanced search

RESEARCH OF THE SEA PASSENGER PORT INFRASTRUCTURE MODERNIZATION TO SOLVE THE PROBLEM OF FORECASTING DEVELOPMENT, TAKING INTO ACCOUNT THE INFLUENCE OF THE EXTERNAL ENVIRONMENT

https://doi.org/10.21821/2309-5180-2022-14-5-701-712

Abstract

The efficiency of operation and interaction of “sea ferry/cruise company-sea passenger port-land transport infrastructure” systems directly depends on the dynamic influence of the external environment, which today determines the transition from deterministic models of decision-making to probabilistic ones. These changes on the basis of current trends in the industry in the form of the introduction of large cruise and ferry ships create the need to form a decision- making system for the reasonable modernization of infrastructure for the heads of ports and terminals. It is necessary to systematically modernize both the berthing infrastructure and change the internal processes of passenger handling in the terminal. The problems of forecasting the development of seaports in connection with the gradual recovery of passenger traffic, caused by a long period of restrictions due to COVID-19, are considered in the paper, as the first priority is the resumption of the route networks of the sea regions, which provide local passenger mobility. Based on the investigated models of ports and terminals evolution (Anyport model, Three Generations model, Workport model) it is revealed that today it is necessary to evaluate possible predictive scenarios of port development. The necessity of having the tools allowing to operatively analyze the situation in the sphere of sea ferry transportation and to model the scenarios of port congestion has been revealed and proved. The approach to estimate the variants of berths loading at simultaneous call of several big cruise vessels on the basis of models of mass service systems for subsequent estimation of infrastructure is considered in the paper. The object of the research is the Baltic Sea region and existing routes of cruise and ferry lines. A new theoretical partitioning of the region and sea passenger ports into four sections is proposed. The systematic analysis of all existing cruise and ferry line routes in each area has been carried out; data on cruise and ferry ship size, passenger capacity, average ticket price, and distance between terminals on the route have been presented. On the basis of the formed approach a new digital dynamic route map that allows both to investigate the current state of the route network and to estimate the possible changes is built. On the basis of the received data it is proved that the best development of passenger sea ports and terminals infrastructure is observed in the segment between the countries of Russia-Estonia-Finland-Sweden. Presented sea terminals have successfully realized the possibility of simultaneous reception of two big cruise vessels and modernized infrastructure during the period of restrictions on the reason of COVID-19, which corresponds to the formation of new points of growth in the Baltic Sea region, taking into account recovery of route networks. The generated big data on route networks accurately define the current state in the sphere of sea ferry/cruise transportation and they should be used in new digital simulation transport models when modeling different variants of sea passenger port operation, both at the stage of short-term planning and when solving the group of questions of development forecasting, which is especially relevant in the situation of competition between terminals for passenger traffic.

About the Authors

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


Angelina A. Dobrovolskaia
Saint-Petersburg State University of Aerospace Instrumentation
Russian Federation


References

1. Майоров Н. Н. Вероятностная модель прогнозирования прибытия круизных или паромных судов в морской порт для оценки инфраструктуры / Н. Н. Майоров, В. А. Фетисов, А. А. Добровольская // Вестник Государственного университета морского и речного флота имени адмирала С. О. Макарова. - 2022. - Т. 14. - № 2. - С. 169-180. DOI: 10.21821/2309-5180-2022-14-2-169-180.

2. Cruise Market Watch. Growth of the Ocean Cruise Line Industry [Электронный ресурс]. - Режим доступа: https://cruisemarketwatch.com/growth/ (дата обращения: 01.07.2022).

3. Tallink routes [Электронный ресурс]. - Режим доступа: https://www.tallink.com/routes (дата обращения: 01.07.2022).

4. Ferryscan [Электронный ресурс]. - Режим доступа: https://www.ferryscan.com/info/megalist-of-baltic-sea-ferry-routes (дата обращения: 01.07.2022).

5. Титов А. В. Современные тенденции развития морских портов в мире и их влияние на портовую индустрию России / А. В. Титов, Д. Б. Ивашкович // Вестник Астраханского государственного технического университета. Серия: Морская техника и технология. - 2016. - № 1. - C. 115-124.

6. Liu Y. Cruise tourism for sustainability: An exploration of value chain in Shenzhen Shekou port / Y. Liu, E. Dong, S. Li, X. Jie // Sustainability. - 2020. - Vol. 12. - Is. 7. - Pp. 3054. DOI: 10.3390/su12073054.

7. Ćorluka G. Cruise port passenger flow analysis: A cruise port governance perspective / G. Ćorluka, I. Peronja, D. Tubić // NAŠE MORE: znanstveni časopis za more i pomorstvo. - 2020. - Vol. 67. - Is. 3. - Pp. 181-191. DOI: 10.17818/NM/2020/3.1.

8. Krile S. Modernization of the Infrastructure of Marine Passenger Port Based on Synthesis of the Structure and Forecasting Development / S. Krile, N. Maiorov, V. Fetisov // Sustainability. - 2021. - Vol. 13. - Is. 7. - Pp. 3869. DOI: 10.3390/su13073869.

9. Krile S. The inf luence of external environment to the ferry lines and marine passenger terminals / S. Krile, N. Maiorov // Transport Problems. - 2020. - Vol. 15. - Pp. 203-214. DOI: 10.21307/TP-2020-060.

10. Шпилько С. П. Морские круизы: теория и практика / С. П. Шпилько, Н. В. Андронова, Р. В. Чударев. - М.: Советский спорт, 2012. - 147 c.

11. Воевудский Е. Н. Стохастические модели в проектировании и управлении деятельностью портов / Е. Н. Воевудский, М. Я. Постан. - М.: Транспорт, 1987. - 318 с.

12. Язвенко М. Р. Моделирование морского грузового порта как системы массового обслуживания в среде AnyLogic / М. Р. Язвенко, А. Г. Морозков // Системный анализ и логистика. - 2020. - № 4 (26). - C. 59-66. DOI: 10.31799/2007-5687-2020-4-59-66.

13. Chen M. J. Itinerary planning: Modeling cruise lines’ length of stay in ports / M. J. Chen, P. Nijkamp // International Journal of Hospitality Management. - 2018. - Vol. 73. - Pp. 55-63. DOI: 10.1016/j.ijhm.2018.02.005.

14. Yandex. Конструктор карт [Электронный ресурс]. - Режим доступа: https://yandex.ru/maps/?ll=17.196026%2C55.327024&mode=usermaps&source=constructorLink&um=constructor (дата обращения: 01.08.2022).

15. Бродецкий Г. Л. Системный анализ в логистике. Выбор в условиях неопределенности / Г. Л. Бродецкий. - М.: Academia, 2010. - 336 с.

16. Tsamboulas D. How to forecast cruise ship arrivals for a new port-of-call destination / D. Tsamboulas, P. Moraiti, G. Koulopoulou // Transportation Research Record. - 2013. - Vol. 2330. - Is. 1. - Pp. 24-30. DOI: 10.3141/2330-04.

17. Barron P. Issues determining the development of cruise itineraries: A focus on the luxury market / P. Barron, B. Greenwood // Tourism in Marine Environments. - 2006. - Vol. 3. - No. 2. - Pp. 89-99. DOI: 10.3727/154427306779435238.

18. Kotowska I. The role of ferry and Ro-Ro shipping in sustainable development of transport / I. Kotowska //Review of economic perspectives. - 2015. - Vol. 15. - Is. 1. - Pp. 35-48. DOI: 10.1515/revecp-2015-0010.


Review

For citations:


Maiorov N.N., Dobrovolskaia A.A. RESEARCH OF THE SEA PASSENGER PORT INFRASTRUCTURE MODERNIZATION TO SOLVE THE PROBLEM OF FORECASTING DEVELOPMENT, TAKING INTO ACCOUNT THE INFLUENCE OF THE EXTERNAL ENVIRONMENT. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2022;14(5):701-712. (In Russ.) https://doi.org/10.21821/2309-5180-2022-14-5-701-712

Views: 315


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


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