IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v198y2025ics1366554525001851.html
   My bibliography  Save this article

Optimization of the Sino-Russian trade transportation network under geopolitical risks such as the Russia-Ukraine conflict

Author

Listed:
  • Yang, Zhongzhen
  • Wang, Yanping
  • Lian, Feng

Abstract

The Russia-Ukraine conflict and international sanctions against Russia have destabilized European segments of Sino-Russian trade corridors, necessitating a shift toward alternative routes. In order to improve the reliability of Sino-Russian trade transportation, a bi-level network optimization model is constructed with considering the geopolitical risks and seasonal Arctic shipping route, where the upper-model determines the ports-of-call, the order of calls, the types and number of the used ships and the frequency for the liner shipping, while the lower-model assigns Sino-Russian containers travel paths. The model solutions show that for the Sino-Russian trade transportation operating the North Sea route with 2000 TEU ships in July-September, year-round of the Baltic and Black Sea routes with 12,000 TEU ships and the Russian Far East route with 2,000 TEU ships is the optimal scheme. The risk increment at maritime transportation within Europe will enhance the choosing probabilities of the China Railway Express, the North Sea route and the Russian Far East route. The findings underscore a strategic diversification of fleets − deploying high-capacity vessels on Baltic/Black Sea route alongside smaller ships on the Arctic route − achieves cost-flexibility equilibrium, while targeted infrastructure investments in Arctic route ice-breaking and Russian Far East port modernization mitigate sanction-induced disruptions. Concurrently, the hierarchical decoupling of strategic fleet planning from tactical routing offers a scalable framework to insulate global trade networks from geopolitical volatility.

Suggested Citation

  • Yang, Zhongzhen & Wang, Yanping & Lian, Feng, 2025. "Optimization of the Sino-Russian trade transportation network under geopolitical risks such as the Russia-Ukraine conflict," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
  • Handle: RePEc:eee:transe:v:198:y:2025:i:c:s1366554525001851
    DOI: 10.1016/j.tre.2025.104144
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554525001851
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2025.104144?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Lian, Feng & He, Yunzhu & Yang, Zhongzhen, 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, Elsevier, vol. 135(C).
    2. Hua Xu & Dong Yang & Jinxian Weng, 2018. "Economic feasibility of an NSR/SCR-combined container service on the Asia-Europe lane: a new approach dynamically considering sea ice extent," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(4), pages 514-529, May.
    3. Xueke Li & Amanda H. Lynch, 2023. "New insights into projected Arctic sea road: operational risks, economic values, and policy implications," Climatic Change, Springer, vol. 176(4), pages 1-16, April.
    4. Current, John & Marsh, Michael, 1993. "Multiobjective transportation network design and routing problems: Taxonomy and annotation," European Journal of Operational Research, Elsevier, vol. 65(1), pages 4-19, February.
    5. Shintani, Koichi & Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2007. "The container shipping network design problem with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(1), pages 39-59, January.
    6. T. L. Magnanti & R. T. Wong, 1984. "Network Design and Transportation Planning: Models and Algorithms," Transportation Science, INFORMS, vol. 18(1), pages 1-55, February.
    7. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    8. Govindan, Kannan & Fattahi, Mohammad, 2017. "Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 680-699.
    9. Rahiminia, Shahab & Mehrabi, Amir & Jabbarzadeh, Armin & Aghaee, Mohsen Pourseyed, 2025. "A hybrid optimization approach for designing sustainable intermodal freight transport under mixed uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    10. Zhang, Meng & Wang, Nengmin & He, Zhengwen & Jiang, Bin, 2021. "Vehicle routing optimization for hazmat shipments considering catastrophe avoidance and failed edges," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    11. Liu, ChengCheng & Lian, Feng & Yang, Zhongzhen, 2021. "Comparing the minimal costs of Arctic container shipping between China and Europe: A network schemes perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    12. Shen, Liang & Xu, Xiang & Shao, Feng & Shao, Hu & Ge, Yanxin, 2024. "A multi-objective optimization model for medical waste recycling network design under uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    13. Zhang, Qihuan & Wang, Ziteng & Huang, Min & Wang, Huihui & Wang, Xingwei & Fang, Shu-Cherng, 2025. "Collaborative supply chain network design under demand uncertainty: A robust optimization approach," International Journal of Production Economics, Elsevier, vol. 279(C).
    14. Chen, Dongxu & Peng, Sufan & Lian, Feng & Yang, Zhongzhen, 2023. "Optimization of a Japan-Europe multimodal transportation corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    15. Zeng, Qingcheng & Lu, Tingyu & Lin, Kun-Chin & Yuen, Kum Fai & Li, Kevin X., 2020. "The competitiveness of Arctic shipping over Suez Canal and China-Europe railway," Transport Policy, Elsevier, vol. 86(C), pages 34-43.
    16. Lai, Fujun & Xiong, Deping & Zhu, Sha & Li, Yunzhong & Tan, Yanzhi, 2023. "Will geopolitical risks only inhibit corporate investment? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    17. Jafarian, Ahmad & Andersson Granberg, Tobias & Zanjirani Farahani, Reza, 2025. "The effect of geographic risk factors on disaster mass evacuation strategies: A smart hybrid optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    18. Lee, Paul Tae-Woo & Song, Zhaoyu, 2023. "Exploring a new development direction of the Belt and Road Initiative in the transitional period towards the post-COVID-19 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    19. Li, Xinyan & Xie, Chi & Bao, Zhaoyao, 2022. "A multimodal multicommodity network equilibrium model with service capacity and bottleneck congestion for China-Europe containerized freight flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    20. Chen, Kang & Chen, Dongxu & Sun, Xueshan & Yang, Zhongzhen, 2016. "Container Ocean-transportation System Design with the factors of demand fluctuation and choice inertia of shippers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 267-281.
    21. Nasibeh Zanjirani Farahani & James Noble & Ronald Mcgarvey & Moein Enayati, 2023. "An advanced intermodal service network model for a practical transition to synchromodal transport in the US Freight System: A case study," Post-Print hal-04134439, HAL.
    22. Fattahi, Mohammad & Govindan, Kannan & Keyvanshokooh, Esmaeil, 2017. "Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 176-200.
    23. Tae-Woo Lee, Paul & Song, Zhao-Yu & Shin, Sung-Ho & Lim, Ming K. & Wong Kim, Yong & Jiang, Chaozhe, 2024. "Characteristics and bottlenecks of sea-rail combined transportation system between South Korea and China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Dongxu & Lian, Feng & Yang, Zhongzhen, 2024. "Assessment of equilibrium accessibility for import/export containers in hub-and-spoke transport network: Impact of international land-sea trade corridor," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
    2. Chen, Dongxu & Peng, Sufan & Lian, Feng & Yang, Zhongzhen, 2023. "Optimization of a Japan-Europe multimodal transportation corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    3. Roy, Tonoy & Bhuiyan, Rubaiyat Ahsan & Ahmed, Sarwar Uddin & Abdullah, Mohammad, 2024. "Geopolitical conflict and firm bankruptcy risk," Finance Research Letters, Elsevier, vol. 68(C).
    4. Tae-Woo Lee, Paul & Song, Zhao-Yu & Shin, Sung-Ho & Lim, Ming K. & Wong Kim, Yong & Jiang, Chaozhe, 2024. "Characteristics and bottlenecks of sea-rail combined transportation system between South Korea and China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    5. Zhu, Sha & Xia, Yuqin & Li, Qiuxuan & Chen, Yunjia, 2025. "Global geopolitical risk and financial stability: Evidence from China," Finance Research Letters, Elsevier, vol. 72(C).
    6. Rigot-Müller, Patrick & Cheaitou, Ali & Etienne, Laurent & Faury, Olivier & Fedi, Laurent, 2022. "The role of polarseaworthiness in shipping planning for infrastructure projects in the Arctic: The case of Yamal LNG plant," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 330-353.
    7. Tao, Miaomiao & Roubaud, David & Tiwari, Aviral Kumar & Silva, Emilson, 2025. "How do systematic risk spillovers reshape investment outcomes?," Finance Research Letters, Elsevier, vol. 75(C).
    8. Huang, Zhuo & Ye, Chengfang & Lai, Fujun & Li, Yunzhong & Li, Xiaofan, 2024. "Dancing between threats and conflicts: How Chinese energy companies invest amidst global geopolitical risks," Energy Economics, Elsevier, vol. 139(C).
    9. Fattahi, Mohammad & Govindan, Kannan & Maihami, Reza, 2020. "Stochastic optimization of disruption-driven supply chain network design with a new resilience metric," International Journal of Production Economics, Elsevier, vol. 230(C).
    10. Songtao Zhang & Chunyang Zhang & Siqi Zhang & Min Zhang, 2018. "Discrete Switched Model and Fuzzy Robust Control of Dynamic Supply Chain Network," Complexity, Hindawi, vol. 2018, pages 1-11, January.
    11. Zhuo Sun & Ran Zhang & Tao Zhu, 2022. "Simulating the Impact of the Sustained Melting Arctic on the Global Container Sea–Rail Intermodal Shipping," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    12. Hyder, Jawad & Hassini, Elkafi, 2025. "Optimizing warehouse space allocation to maximize profit in the postal industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    13. K. Ramacandra Rao & Subhro Mitra & Joseph Szmerekovsky, 2021. "Bus Transit Network Structure Selection With Multiple Objectives," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(4), pages 1-13, October.
    14. Curtin, Kevin M. & Biba, Steve, 2011. "The Transit Route Arc-Node Service Maximization problem," European Journal of Operational Research, Elsevier, vol. 208(1), pages 46-56, January.
    15. Lu, Bo & Sun, Yue & Wang, Huipo & Wang, Jian-Jun & Shuai Liu, Samuel & Cheng, T.C.E., 2024. "Dynamic resilience analysis of the liner shipping network: From structure to cooperative mechanism," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
    16. Liu, ChengCheng & Lian, Feng & Yang, Zhongzhen, 2021. "Comparing the minimal costs of Arctic container shipping between China and Europe: A network schemes perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    17. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    18. Diakonova, Marina & Molina, Luis & Mueller, Hannes & Pérez, Javier J. & Rauh, Christopher, 2024. "The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    19. Bakas, Dimitrios & Triantafyllou, Athanasios, 2020. "Commodity price volatility and the economic uncertainty of pandemics," Economics Letters, Elsevier, vol. 193(C).
    20. Alessandro Paolo Rigamonti & Giulio Greco & Mariarita Pierotti & Alessandro Capocchi, 2024. "Macroeconomic uncertainty and earnings management: evidence from commodity firms," Review of Quantitative Finance and Accounting, Springer, vol. 62(4), pages 1615-1649, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:198:y:2025:i:c:s1366554525001851. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.