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Transport Problems

Silesian University of Technology

Subject: Economics, Transportation, Transportation Science & Technology


eISSN: 2300-861X



VOLUME 16 , ISSUE 2 (June 2021) > List of articles


Asen ASENOV * / Velizara PENCHEVA / Boril IVANOV

Keywords : multimodal transport; transit route selection

Citation Information : Transport Problems. Volume 16, Issue 2, Pages 167-178, DOI:

License : (CC BY 4.0)

Received Date : 02-October-2019 / Accepted: 10-May-2021 / Published Online: 24-June-2021



The multimodal transportation of transit cargo is suitable for implementation through Bulgaria in the East-Northwest direction through the sea and river ports of the country as an alternative to the Romanian and Greek routes. Among the multimodal routes with a land leg through Bulgaria used and known so far, those via two seaports (Burgas and Varna) and three river ports (Ruse, Svishtov and Vidin) are most suitable. An expert evaluation methodology for selection of the most appropriate route is developed, including the Delphi method. A survey was conducted among 11 highly ranked and internationally recognized Bulgarian experts, known for their exceptional experience in the field of freight forwarding and international cargo transportation through Bulgaria. The results of the study show that the most suitable route for transit transportation is through the ports of Varna and Ruse with intermediate road haulage.

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1. Тинякова В.И. Математические методы обработки экспертной информации. Воронеж, Россия, 68 с. [In Russian: Tinyakova V.I. Mathematical methods for processing expert information. Voronezh, Russia. 2006. 68 p.]

2. Sun, Y. & Lang, M. & Wang, D. Optimization models and solution algorithms for freight routing planning problem in the multi-modal transportation networks: A review of the state-of-the-art. Open Civil Engineering Journal. 2015. Vol. 9. No. 1. P. 714-723. ISSN: 18741495.

3. Tabatabaee, S. & Mahdiyar, A. & Durdyev, S. & Mohandes, S.R. & Ismail, S. An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach. Journal of Cleaner Production. 2019. Vol. 238. No. 117956. P. 1-13. ISSN: 09596526.

4. Gossler, T. & Falagara Sigala, I. & Wakolbinger, T. & Buber, R. Applying the Delphi method to determine best practices for outsourcing logistics in disaster relief. Journal of Humanitarian Logistics and Supply Chain Management. 2019. No. 9(3). P. 438-474. ISSN: 20426747.

5. Foulds, L.R. & Luo, Y. Value-added services for sustainable third-party warehousing. International Journal of Logistics Systems and Management. 2006. Vol. 2. No. 2. P. 194-216. ISSN: 17427967.

6. Sun, Y. & Lang, M. Modeling the multicommodity multimodal routing problem with schedulebased services and carbon dioxide emission costs. Mathematical Problems in Engineering. 2015. No 406218. ISSN: 1024123X.

7. Çabukoglu, E. & Georges, G. & Küng, L. & Pareschi, G. & Boulouchos, K. Fuel cell electric vehicles: An option to decarbonize heavy-duty transport? Results from a Swiss case-study. Transportation Research Part D: Transport and Environment. 2019. Vol. 70. P. 35-48. ISSN: 13619209.

8. Harris, I. & Wang, Y. & Wang, H. ICT in multimodal transport and technological trends: unleashing potential for the future. International Journal of Production Economics. 2015. Vol. 159. P. 88-103. DOI:

9. Kengpola, A. & Meethoma, W. & Tuominen, M. The development of a decision support system in multimodal transportation routing within Greater Mekong Sub-region countries. International Journal of Production Economics. 2012. Vol. 140. Issue 2. P. 691-701.

10. Bouchery, Y. & Fazi, S. & Fransoo, J.C. Hinterland transportation in container supply chains. International Series in Operations Research and Management Science. 2015. Vol. 220. P. 497- 520. ISSN: 08848289.

11. Sun, Y. & Lang, M. Modeling the multicommodity multimodal routing problem with schedulebased services and carbon dioxide emission costs. Mathematical Problems in Engineering. 2015. Vol. 2015. No. 406218. 21 p. ISSN: 1024123X.

12. Behdani, B. & Fan, Y. & Wiegmans, B. & Zuidwijk, R. Multimodal schedule design for synchromodal freight transport systems. European Journal of Transport and Infrastructure Research. 2016. Vol. 16. No. 3. P. 424-444. ISSN: 15677141.

13. Bilgen, S. Structure and environmental impact of global energy consumption. Renew Sustain Energy. 2014. Rev. 38. P. 890-902.

14. Liotta, G. & Stecca, G. & Kaihara, T. Optimisation of freight flows and sourcing in sustainable production and transportation networks. International Journal of Production Economics. 2015. Vol. 164. P. 351-365. ISSN: 09255273.

15. Kamiński, W. & Sładkowski, A. Comparison of railway routes enabling freight transportation from the eastern border of Poland to the west. In: Gopalakrishnan, K. & Prentkovskis, O. & Jackiva, I. & Junevičius, R. (eds.) TRANSBALTICA XI: Transportation Science and Technology. Lecture notes in intelligent transportation and infrastructure. Cham: Springer Nature Switzerland AG. 2020. P. 171-184. ISBN: 978-3-030-38665-8.

16. Bazaras, D. & Batarlienè, N. & Palsaitis, R. & Petraska, A. Optimal road route selection criteria system for oversize goods transportation. Baltic Journal of Road and Bridge Engineering. 2013. Vol. 8. P. 19-24. ISSN: 1822-427X.

17. Yanyan, Z. & Yisong, L. Joint optimization of schedule and route in container supply chain. IEEE, Chinese Control and Decision Conference. 2016. ISBN: 978-1-4673-9715-5.

18. Brink, M. & Schäffer, B. & Vienneau, D. & Foraster, M. & Pieren, R. & Eze, I.C. & Cajochen, C. & Probst-Hensch, N. & Röösli, M. & Wunderli, J.M. A survey on exposure-response relationships for road, rail, and aircraft noise annoyance: Differences between continuous and intermittent noise. Environment International. 2019. Vol. 125. P. 277-290. ISSN: 01604120.

19. Boiko, Y. Methods of forming an expert assessment of the criteria of an information system for managing projects and programs. Technology Transfer fundamental principles and innovative technical solutions. 2018. No. 2. P. 9-11. DOI: 10.21303/2585-6847.2018.00766.

20. Hivin, L.F. & Pfaender, H. & Mavris, D.N. Regional climate impact of aerosols emitted by transportation modes and potential effects of policies on demand and emissions. Transportation Research Part D: Transport and Environment. 2015. Vol. 41. P. 24-39. ISSN: 13619209.

21. Yang, Y. & Wang, R. & Zhang, Q. Optimization of shortest path of multiple transportation model based on cost analyses. International Journal of Simulation: Systems, Science and Technology. 2016. Vol. 17(29). P. 4.1-4.6. ISSN: 14738031.

22. Sinitsyn, V. & Tatarinov, V. & Kirsanov, A. Information support for management of dangerous goods transport by road. Safety in Technosphere. 2019. Vol. 8(1). P. 44-50. DOI: 10.12737/1998- 071X-2019-44-50.