Journal of Korea Port Economic Association (한국항만경제학회지)

The Korea Port Economic Association (한국항만경제학회)
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Multimodal Route Selection from Korea to Europe Using Fuzzy AHP-TOPSIS Approaches: The Perspective of the China-Railway Express

한-유럽 복합운송 경로선택에 관한 연구 중국-유럽 화물열차를 중심으로

  • 왕관 (인천대학교 동북아물류대학원) ;
  • 안승범 (인천대학교 동북아물류대학원)
  • Received : 2021.10.15
  • Accepted : 2021.12.31
  • Published : 2021.12.31
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Abstract

Since the signing of the Korea-Europe Free Trade Agreement, the volume of trade transactions between South Korea and Europe has increased. The traditional single-mode transport system has been transformed into an intermodal transport system using two or more modes of transport. In addition, the conventional sea and air transport routes have been restricted, leading to a decline in Korean exports to Europe, and the rail transport mode is becoming mainstream in the market due to the influence of COVID-19. This paper focuses on the China-Railway Express to explore a new intermodal transport route from Korea to Europe. First, the fuzzy analytic hierarchy process (AHP) is used to evaluate the factor weights when selecting intermodal transport routes from Korea to Europe. Then, the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is used to rank three alternatives. The results show that among the four factors (total cost, total time, transportation capability, and service reliability), the total cost is the most significant factor, followed by the total time, service reliability, and transportation capability. Furthermore, the alternative route 1 (Incheon-Dalian-Manchuria-Hamburg) is preferred.

2011년 한-유럽 FTA 체결 이후 두 지역의 거래액은 증가일로에 있으며 전체 시장은 지속적으로 확대되고 있다. 여러 운송수단을 이용하는 복합국제운송에 대한 관심이 늘어나며 기존의 해운운송 위주의 운송 방식에서 철도를 포함한 두 가지 이상의 운송수단을 사용하는 다중운송경로를 통한 운송이 확대되고 있다. COVID-19의 영향으로 2019년 세계 화물 시장이 타격을 받았는데 특히 해상 및 항공 노선의 급격한 제한에 기인하고 한국의 대유럽 수출도 감소하였다. 이러한 영향에도 2020년 CRE(China Railway Express) 화물 열차의 총 수는 2016년 대비 7.3배 증가한 12,406개 노선으로 전년 대비 50% 증가하였다. 철도를 이용한 육상기반의 화물운송에 대한 연구는 꾸준히 있어 왔으나 한국과 유럽의 운송노선에 대한 연구는 TSR(Trans Siberian Railway), 수에즈 해운(Suez Shipping), 기존 TCR(Trans China Railway) 노선에 국한되었다. 본 논문은 중국에서의 일대일로 구상에 따라 최근 변화를 겪고있는 실크로드의 핵심에 초점을 맞추어 중국-유럽 화물열차(CRE)를 대상으로 연구를 진행하였다. Fuzzy-AHP는 한국에서 유럽으로 가는 국제 복합항로 선정 시 요인의 우선순위를 결정하는데 사용하였으며 중국과 한국의 전문가 설문조사를 통해 결과를 도출하였다. 요인 선정 후 TOPSIS 방법을 적용하여 계획된 3개의 경로를 순위화하였다. 그 결과 총비용, 총시간, 서비스 신뢰도가 CRE 기반 복합운송을 선택할 때 의사결정자가 고려하는 요소로 나타났다. 또한, 주요 3개 복합운송노선에서 Route 1(인천-대련-만주-함부르크) 노선이 최적 노선이고 Route 2(인천-리차오-얼롄하오터-함부르크)와 Route 3(인천-롄윈강-시안-함부르크) 순서로 나타났다.

Keywords

Acknowledgement

이 논문은 해양수산부 2021년도 해운항만물류 전문인력양성사업 지원에 의해 연구되었음

References

  1. Ambrasaite, I., Barfod, M. B., & Salling, K. B. (2011). MCDA and risk analysis in transport infrastructure appraisals: The Rail Baltica case. Procedia - Social and Behavioral Sciences, 20, 944-953. https://doi.org/10.1016/j.sbspro.2011.08.103
  2. Chang, T. S. (2008). Best routes selection in international intermodal networks. Computers and Operations Research, 35(9), 2877- 2891. https://doi.org/10.1016/j.cor.2006.12.025
  3. Cho, J. H., Kim, H. S., & Choi, H. R. (2012). An intermodal transport network planning algorithm using dynamic programming-A case study: From Busan to Rotterdam in intermodal freight routing. Applied Intelligence, 36(3), 529-541. https://doi.org/10.1007/s10489-010-0223-6
  4. Choi, K.-H., Park, G.-K., Lee, R. R., & Yoon, D.-G. (2012). A Study on the Economic Validity of TSR Connecting TKR. Journal of the Korean Society of Marine Environment and Safety, 18(4), 345-351. https://doi.org/10.7837/kosomes.2012.18.4.345
  5. Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making methods. Fuzzy multiple attribute decision making, 289-486.
  6. Eu, K., Moon, D.-S., Kim, D.-J., & Lee, E.-K. (2015). A Study on Competitiveness in Shipping Transport by Comparing International Transport Routes between Korea and EU.
  7. Feng, F., Zhang, T., Liu, C., & Fan, L. (2020). China railway express subsidy model based on game theory under "the belt and road" initiative. Sustainability (Switzerland), 12(5), 1-16.
  8. Gercek, H., Karpak, B., & Kilincaslan, T. (2004). A multiple criteria approach for the evaluation of the rail transit networks in Istanbul. Transportation, 31(2), 203-228. https://doi.org/10.1023/b:port.0000016572.41816.d2
  9. Haial, A., & Berrado, A. (2019). Reviewing the use of Multi-Criteria Group Decision Making Methods for Transportation Problems : Case of Transport Mode Selection Problem. 1275-1285.
  10. Hamurcu, M., & Eren, T. (2018). An application of multicriteria decision-making for the evaluation of alternative monorail routes. Mathematics, 7(1).
  11. Kengpol, A., Tuammee, S., & Tuominen, M. (2014). The development of a framework for route selection in multimodal transportation. International Journal of Logistics Management (Vol. 25, Issue 3).
  12. Kim, G. S., Lee, S. W., Seo, Y. J., & Kim, A. R. (2020). Multimodal transportation via TSR for effective Northern logistics: Perspectives of Korean logistics companies. Maritime Business Review, 5(3), 295-312. https://doi.org/10.1108/mabr-07-2019-0029
  13. Kim, J., Kim, K., Yuen, K. F., & Park, K. S. (2020). Cost and scenario analysis of intermodal transportation routes from Korea to the USA: After the Panama Canal expansion. Sustainability (Switzerland), 12(16), 0-19.
  14. Kim, Y., Park, K., & Kim, J. (2019). A Comparative Study on the Selection of Transportation Routes and Multipath Establishment of Automotive Parts from Korea to Europe.
  15. Koohathongsumrit, N., & Meethom, W. (2021a). An integrated approach of fuzzy risk assessment model and data envelopment analysis for route selection in multimodal transportation networks. Expert Systems with Applications, 171, 114342. https://doi.org/10.1016/j.eswa.2020.114342
  16. Koohathongsumrit, N., & Meethom, W. (2021b). Route selection in multimodal transportation networks: a hybrid multiple criteria decision-making approach. Journal of Industrial and Production Engineering, 38(3), 171-185. https://doi.org/10.1080/21681015.2020.1871084
  17. Kopytov, E., & Abramov, D. (2012). Multiple-Criteria Analysis and Choice of Transportation Alternatives in Multimodal Freight Transport System. Transport and Telecommunication Journal, 13(2), 148-158. https://doi.org/10.2478/v10244-012-0012-x
  18. Lian, F., He, Y., & Yang, Z. (2020). Competitiveness of the China-Europe Railway Express and liner shipping under the enforced sulfur emission control convention. Transportation Research Part E: Logistics and Transportation Review, 135(August 2019), 101861. https://doi.org/10.1016/j.tre.2020.101861
  19. Meethom, W., & Kengpol, A. (2009). Design of a decision support system for selecting multimodal transportation route: An integrated model using AHP and ZOGP case study Thailand-Vietnam. IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management, 2304-2308.
  20. Moon, D.-S., Kim, D.-J., & Lee, E.-K. (2015). A Study on Competitiveness in Shipping Transport by Comparing International Transport Routes between Korea and EU.
  21. Park, Y. Il, Lu, W., Nam, T. H., & Yeo, G. T. (2019). Terminal Vitalization Strategy through Optimal Route Selection Adopting CFPR Methodology. Asian Journal of Shipping and Logistics, 35(1), 41-48. https://doi.org/10.1016/j.ajsl.2019.03.006
  22. Pham, T. Y., Kim, K. Y., & Yeo, G. T. (2018). The Panama Canal expansion and its impact on East-West liner shipping route selection. Sustainability (Switzerland), 10(12).
  23. Qu, L., & Chen, Y. (2008). A hybrid MCDM method for route selection of multimodal transportation network. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5263 LNCS(PART 1), 374-383.
  24. Seo, Y. J., Chen, F., & Roh, S. Y. (2017). Multimodal Transportation: The Case of Laptop from Chongqing in China to Rotterdam in Europe. Asian Journal of Shipping and Logistics, 33(3), 155-165. https://doi.org/10.1016/j.ajsl.2017.09.005
  25. Shinghal, N., & Fowkes, T. (2002). Freight mode choice and adaptive stated preferences. Transportation Research Part E: Logistics and Transportation Review, 38(5), 367-378. https://doi.org/10.1016/S1366-5545(02)00012-1
  26. Singh, S. P., & Singh, P. (2018). A hybrid decision support model using axiomatic fuzzy set theory in AHP and TOPSIS for multi- criteria route selection. Complex & Intelligent Systems, 4(2), 133-143. https://doi.org/10.1007/s40747-018-0067-y
  27. Southworth, F., & Peterson, B. E. (2000). Intermodal and international freight network modeling. Transportation Research Part C: Emerging Technologies, 8(1-6), 147-166. https://doi.org/10.1016/S0968-090X(00)00004-8
  28. Steadieseifi, M., Dellaert, N. P., Nuijten, W., Van Woensel, T., & Raoufi, R. (2014). Multimodal freight transportation planning: A literature review. European Journal of Operational Research, 233(1), 1-15. https://doi.org/10.1016/j.ejor.2013.06.055
  29. Sun, Y. (2020). A fuzzy multi-objective routing model for managing hazardous materials door-to-door transportation in the road-rail multimodal network with uncertain demand and improved service level. IEEE Access, 8, 172808-172828. https://doi.org/10.1109/access.2020.3025315
  30. Sur, J. M., & Kim, D. J. (2020). Multi criteria evaluation of beneficial effect of commercializing Northern Sea Route on Europe and Asia countries. Asian Journal of Shipping and Logistics, 36(4), 193-201. https://doi.org/10.1016/j.ajsl.2020.03.002
  31. Tian, W., & Cao, C. (2017). A generalized interval fuzzy mixed integer programming model for a multimodal transportation problem under uncertainty. Engineering Optimization, 49(3), 481-498. https://doi.org/10.1080/0305215x.2016.1190351
  32. Wang, Y., & Yeo, G. T. (2016). A Study on International Multimodal Transport Networks from Korea to Central Asia: Focus on Secondhand Vehicles. Asian Journal of Shipping and Logistics, 32(1), 41-47. https://doi.org/10.1016/j.ajsl.2016.03.005
  33. Wang, Y., & Yeo, G. T. (2018). Intermodal route selection for cargo transportation from Korea to Central Asia by adopting Fuzzy Delphi and Fuzzy ELECTRE I methods. Maritime Policy and Management, 45(1), 3-18. https://doi.org/10.1080/03088839.2017.1319581
  34. Woo, S. H., Kim, S. N., Kwak, D. W., Pettit, S., & Beresford, A. (2018). Multimodal route choice in maritime transportation: the case of Korean auto-parts exporters. Maritime Policy and Management, 45(1), 19-33. https://doi.org/10.1080/03088839.2017.1344783
  35. Xie, Y., Lu, W., Wang, W., & Quadrifoglio, L. (2012). A multimodal location and routing model for hazardous materials transportation. Journal of Hazardous Materials, 227-228, 135-141. https://doi.org/10.1016/j.jhazmat.2012.05.028
  36. Yannis, G., Kopsacheili, A., Dragomanovits, A., & Petraki, V. (2020). State-of-the-art re- view on multi-criteria decision-making in the transport sector. Journal of Traffic and Transportation Engineering (English Edition), 7(4), 413-431. https://doi.org/10.1016/j.jtte.2020.05.005
  37. Zadeh, L. A., Klir, G. J., & Yuan, B. (1996). Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers (Vol. 6). World Scientific.