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Modeling of the rail freight traffic by the method of economic-geographical delimitation in the region of the south-easter coast of the Baltic Sea

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The results of further research on the creation of a mathematical model of railway freight traffic carried out in a regional transport and technological system are presented. The proposed logistic approach is applied to the issues of optimizing the management of transportation directed to ports located on the southeast coast of the Baltic Sea. Built on the basis of a comprehensive assessment of the transport infrastructure of the region under consideration and the performance of the operating company, the mathematical model provides ample opportunities to address issues of regulating of transportation. The method of economic and geographical delimitation of the ≪influence areas≫ of loading stations is significantly developed both in terms of using the geometric properties of higher order algebraic curves and in terms of a deeper approach to studying the transportation process. The results of the research can serve as one of the basis for improving the economic efficiency of the functioning of international transport corridors in the framework of multimodal transport.
Czasopismo
Rocznik
Strony
77--87
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
  • Rostov State Transport University (RSTU) Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Sq., 2, 344038, Rostov-On-Don, Russia
  • Rostov State Transport University (RSTU) Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Sq., 2, 344038, Rostov-On-Don, Russia
  • Rostov State Transport University (RSTU) Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Sq., 2, 344038, Rostov-On-Don, Russia
  • Rostov State Transport University (RSTU) Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Sq., 2, 344038, Rostov-On-Don, Russia
  • Rostov State Transport University (RSTU) Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Sq., 2, 344038, Rostov-On-Don, Russia
  • Rostov State University of Economics Bolshaya Sadovaya, 69, 344002, Rostov-on-Don, Russia
Bibliografia
  • 1. Zhang, Y.Z. & Wang, J.Q. & Hu, Z.A. Optimization Model of Transportation Product Selection for Railway Express Freight. Journal of Engineering Science and Technology Review. 2016. No. 9(5). P. 104-110.
  • 2. Knoop, V. & Hoogendoorn, S. An Area-Aggregated Dynamic Traffic Simulation Model European Journal of Transport and Infrastructure Research. 2015. No. 15(2). P. 226-242.
  • 3. Wang, X. & Meng, Q. & Miao, L. Delimiting port hinterlands based on intermodal network flows: Model and algorithm. Transportation Research Part E: Logistics and Transportation Review. 2016. Vol. 88. P. 32-51.
  • 4. Gooley, T.B. The Geography of Logistics. Logistics Management and Distribution Report January. 1998. P. 63-65.
  • 5. Harrison, R. International Trade, Transportation Corridors, and Inland Ports: Opportunities for Canada. Pacific-Asia Gateway and Corridor Research Consortium. P. 1-13. Available at: http://www.gateway-corridor.com/roundconfpapers/documents/Harrison_Robert_Winnipeg. pdf.
  • 6. Dinu, O. & Burciu, S. & Oprea, C. & Ilie, A. Inland waterway ports nodal attraction indices relevant in development strategies on regional level. IOP Conference Series: Materials Science and Engineering. 2016. DOI:10.1088/1757-899X/145/8/082008.
  • 7. Combes, F. & Tavasszy, L.A. Inventory theory, mode choice and network structure in freight transport. European Journal of Transport and Infrastructure Research. 2016. No. 16(1). P. 38-52.
  • 8. Первая грузовая компания. Available at: http://www.pgkweb.ru [In Russian: First Freight Company].
  • 9. Богачев, В.А. & Богачев, Т.В. Использование информационных технологий при изучении математических дисциплин. Комплексный анализ. Теория операторов. Математическое моделирование. Владикавказ: Изд-во ВНЦ РАН. 2006. [In Russian: Bogachev, V.A. & Bogachev, T.V. The use of information technology in studying mathematical subjects. Complex analysis. Operator theory. Mathematical modeling. In: Vladikavkaz: EASTERN SCIENTIFIC CENTRE of Russian Academy of Sciences].
  • 10. Chislov, O.N. & Bogachev, V.A. & Zadorozhniy, V.M. & Bogachev, T.V. Economicgeographical method delimiting wagon flows in the region considered: model and algorithm. Transport Problems. 2018. Vol. 14. No. 2. P. 39-48.
  • 11. Прейскурант № 10-01 ≪Тарифы на перевозки грузов и услуги инфраструктуры, выполняемые российскими железными дорогами≫. Available at: http://doc.rzd.ru/doc/public/ru%3Fid%3D6188%26layer_id%3D5104%26STRUCTURE_ID. [In Russian: Price list № 10-01 ≪Tariffs for the transportation of goods and infrastructure services performed by Russian railways≫].
  • 12. Крыньский, Х.Э. Математика для экономистов. Москва: Статистика. 1970. 580 p. [In Russian: Krynsky, H.E. Mathematics for economists. Moscow: Statistics].
  • 13. Виноградов, И.М. Математическая энциклопедия: т. 2. Москва: ≪Советская Энциклопедия≫. 1979. P. 79-80. [In Russian: Vinogradov, I.M. Mathematical Encyclopedia: Vol. 2. Moscow: Soviet Encyclopedia].
  • 14. Виноградов, И.М. Математическая энциклопедия: т. 4. Москва: ≪Советская Энциклопедия≫. 1984. P. 226-227 [In Russian: Vinogradov, I.M. Mathematical Encyclopedia: Vol. 4. Moscow: Soviet Encyclopedia].
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
bwmeta1.element.baztech-554876ee-c338-4ae2-97fc-395d778ba1ed
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