The Costs of Container Transport Flow Between Far East and Serbia Using Different Liner Shipping Services

Open access

Abstract

Liner shipping is the most efficient mode of transport for goods. International liner shipping is a sophisticated network of regularly scheduled services that transports goods from anywhere in the world to anywhere in the world at low cost and with greater energy efficiency than any other form of international transportation. Liner shipping connects countries, markets, businesses and people, allowing them to buy and sell goods on a scale not previously possible. Today, the liner shipping industry transports goods representing approximately one-third of the total value of global trade. Ocean shipping contributes significantly to international stability and security. Considering the large and constant struggle in the market in terms of competitive pricing of products, a very important and indispensable role represents the container transport with a clear task to define the final price of the product. This paper analyzes the costs of container transport flow between Far East and Serbia, using different liner shipping services, observing the six world’s largest container operators (Maersk Line, Mediterranean Shipping Company, CMA CGM, Evergreen Line, China Ocean Shipping Company and Hapag-Lloyd) and inland (truck-rail-river) transport corridors. These corridors include distance between selected Mediterranean ports (Koper, Rijeka, Bar, Thessaloniki, Constanta) and Serbia. As a result, in this paper is considered a mathematical model that provides a comparative analysis of transportation costs on the different routes. It is observed already existing transport routes and it is also given hypothetical review to the development of new transport routes. The main goal of this research is to provide an optimal route with lowest transportation cost during container transport. Selection of the best route in the intermodal network is a very difficult and complex task. The costs in all modes of transport and the quality of their services are not constant parameters and changes depending on a number of conditions and characteristics. The analysis of this model within combined maritime and land-based networks would prove helpful for the study of logistics chains, the hinterland-foreland continuum, intermodal transport systems, and market competitiveness.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • 1. Review of Maritime Transport: UNCTAD/RMT/2014. United National Publication Sales no. E.13.II.D.9 ISBN 978-92-1-112872-7 e-ISBN 978-92-1-054195-4 ISSN 0566-7682. Available from Internet:

  • 2. J. S. L. Lam and Y. Gu. “Port hinterland intermodal container flow optimisation with green concerns: a literature review and research agenda” International Journal of Shipping and Transport Logistics (IJSTL) vol. 5 issue 3 pp. 257-281 January 2013.

  • 3. X. Yang. J. M. W. Low and L. C. Tang “ Analysis of Intermodal Freight from China to Indian Ocean: A Goal Programming Approach” Journal of Transport Geography vol. 19 issue 4 pp. 515-527 2011.

  • 4. H. Min “International intermodal choices via chance-constrained goal programming” Transportation Research Part A: General vol. 25 issue 6 pp. 351-362 November 1991.

  • 5. H. J. Kima Y. T. Changa P. T. W. Leeb S. H. Shina and M. J. Kima “Optimizing the transportation of international container cargoes in Korea” Maritime Policy & Management: The flagship journal of international shipping and port research vol. 35 issue 1 pp. 103-122 2008.

  • 6. D. Infante G. Paletta and F. Vocaturo “A ship-truck intermodal transportation problem” Maritime Economics & Logistics vol. 11 pp. 247-259 September 2009.

  • 7. D. C. Francesetti “Italian versus Northern Range port competitiveness: a transportation cost analysis in Chinese trade” European Transport \ Trasporti Europei vol. 30 pp. 37-53 2005.

  • 8. M. M. Han L. Guolong and Y. Bin “A Linear Programming Model For Short Sea Shipping And Multimodal Inland Transportation In Myanmar” Report and Opinion vol. 3 issue 1 pp. 37-43 2011.

Search
Journal information
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 279 139 17
PDF Downloads 150 92 7