Preview

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

Advanced search

PLANNING THE ROUTE NETWORKS OF MARINE CRUISES AND FERRY LINES TAKING INTO ACCOUNT THE PASSENGER FLOW DYNAMICS

https://doi.org/10.21821/2309-5180-2020-12-1-7-16

Abstract

An assessment of the maritime ferry market for the Baltic Sea region is carried out on the basis of a group of carrier companies and statistics for 2019. To assess the impact of sea passenger ports on each other, the pie charts are used. This research is carried out on the basis of the Princess Anastasia ferry ship and cruises using St. Petersburg port as a start and end point. Based on the research, it is established that there is a trend to increase the passenger traffic in this region and increase the size of cruise and ferry vessels. At the same time, it is found, that a trend of decreasing the cruise ships is observed, but their sizes are significantly increasing, which requires the modernization of passenger port infrastructure and investments in it. Based on the research, the assessment of constraints in the development of new route lines in the Baltic Sea region is given. To solve the route estimation problem, a mathematical model and an objective function that seeks to minimize possible costs are presented. Solving this problem requires observing a large number of boundary conditions, which in practice leads to a simplification of this objective function and finding only some boundary solutions. On the other hand, although this model has the accuracy of the process description, it does not allow taking into account the dynamics of passenger flows. To eliminate this circumstance, the maximum flow problem is stated and a new model for choosing a ferry transport network between different marine passenger ports is presented. The developed model takes into account the interests of passengers traveling on their own vehicles. It is established that the results of using the model can be used to build a methodological basis for the route ferry network for the selected region of the sea. The results of when building model should be used to evaluate the effectiveness of the systems «sea ferry line - passenger sea port - urban transport space near the terminal» and projected new ring ferry routes.

About the Author

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


References

1. Порт «Морской вокзал» [Электронный ресурс]. - Режим доступа: http://www.mvokzal.ru/morskoj-vokzal (дата обращения: 15.11.2019).

2. Порт Санкт-Петербург «Морской фасад» [Электронный ресурс]. - Режим доступа: https://www.portspb.ru/ (дата обращения: 15.11.2019).

3. Baltic ports volumes in 2009 // Baltic Transport Journal. - 2010. - № 4. - Pp. 28-33.

4. Baltic Sea Sewage Port Reception Facilities 2018. Baltic Marine Environment Protection Commission [Электронный ресурс]. - Режим доступа: http://www.helcom.fi (дата обращения: 15.11.2019).

5. Directferries.com [Электронный ресурс]. - Режим доступа: https://www.directferries.com/routes.htm (дата обращения: 11.11.2019).

6. Майоров Н. Н. Исследование работы морских пассажирских терминалов на основе диаграмм связей / Н. Н. Майоров // Вестник Астраханского государственного технического университета. Серия: Морская техника и технология. - 2019. - № 1. - С. 119-126. DOI: 10.24143/2073-1574-2019-1-119-126.

7. 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.

8. Fagerholt K. Fleet deployment in liner shipping: a case study / K. Fagerholt, T.A.V. Johnsen, H. Lindstad // Maritime Policy & Management. - 2009. - Vol. 36. - Is. 5. - Pp. 397-409. DOI: 10.1080/03088830903187143.

9. Krile S. Forecasting the operational activities of the sea passenger terminal using intelligent technologies / S. Krile, N. Maiorov, V. Fetisov // Transport Problems. - 2018. - Vol. 13. - Is. 1. - Pp. 27-36. DOI: 10.21307/tp.2018.13.1.3.

10. 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.

11. Krile S. Logistic Support for Loading/Unloading in Shipping with Multiple Ports / S. Krile // Proc. of 31st International Conference of Automation in Transportation (Korema), Pula - Milan. - 2011. - Pp. 94-97.

12. Lun Y. H. V. Fleet mix in container shipping operations / Y.H.V. Lun, M. Browne // International Journal of Shipping and Transport Logistics. - 2009. - Vol. 1. - Is. 2. - Pp. 103-118. DOI: 10.1504/IJSTL.2009.024491

13. Maiorov N. Simulation of the route network and ferry traffic intensity based on the process of discretization and circos plot intensity diagram / N. Maiorov, V. Fetisov, S. Krile, D. Miskovic // Transport Problems. - 2019. - Vol. 14. - Is. 4. - Pp. 21-31. DOI: 10.20858/tp.2019.14.4.2.

14. Krile S. New approach in definition of multi-stop flight routes / S. Krile, M. Krile // Transport Problems. - 2015. - Vol. 10. - Is. 1. - Pp. 87-96.

15. Майоров Н. Н. Методологический базис организации сети морских пассажирских перевозок / Н. Н. Майоров // Вестник Астраханского государственного технического университета. Серия: Морская техника и технология. - 2018. - № 2. - С. 28-37. DOI: 10.24143/2073-1574-2018-2-28-37.

16. 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.

17. Wang J. The study and analysis of model algorithm for dynamic origin-destination matrix estimation and prediction / J. Wang // Ningxia Engineering Technology. - 2002. - Vol. 1. - No. 4. - Pp. 362-365.


Review

For citations:


Maiorov N.N. PLANNING THE ROUTE NETWORKS OF MARINE CRUISES AND FERRY LINES TAKING INTO ACCOUNT THE PASSENGER FLOW DYNAMICS. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova. 2020;12(1):7-16. (In Russ.) https://doi.org/10.21821/2309-5180-2020-12-1-7-16

Views: 194


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


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