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How does carbon trading price uncertainty affect intermodal transportation network? Insights from a hub seaport

Author

Listed:
  • Zhang, Zi-Ang
  • Tao, Xuezong
  • Yin, Chuanzhong
  • Zheng, Shiyuan

Abstract

This study addresses the current structural ineffectiveness of freight transportation systems, by focusing on the design of a hub seaport intermodal freight transportation network (IFTN) and considering uncertainties in the carbon trading price. The fuzzy credibility function of the carbon trading price is established based on a triangular fuzzy number, and the fuzzy carbon trading price is clarified using different values associated with an enterprise’s risk preference level. A multi-objective 0–1 programming model is constructed, considering transportation cost, carbon trading cost, and transportation time. An improved NSGA-II based on the ideal point method is designed to solve the model. The effectiveness and efficiency of the modeling and solving methods are demonstrated through numerical experiments for the real-world case of a Chinese hub seaport. Managerial implications and recommendations are presented based on extensive sensitivity analyses. The results highlight the following. (i) Under the influence of carbon trading policy, transport enterprises adopt direct rail or rail-water intermodal transportation. (ii) The objective value of carbon trading cost is inversely proportional to an enterprise’s risk preference level with respect to the carbon trading price. This indicates that an enterprise’s decision-making behavior related to emissions reduction under different risk attitudes is prompted by costs or benefits. (iii) Carbon quotas are unlikely to effectively affect transportation schemes from a modeling perspective, but it is useful to emphasize their effectiveness as an emissions reduction policy instrument. These findings can be applied to accelerate the sustainable transformation and decarbonization efforts of the transport and logistics industry.

Suggested Citation

  • Zhang, Zi-Ang & Tao, Xuezong & Yin, Chuanzhong & Zheng, Shiyuan, 2025. "How does carbon trading price uncertainty affect intermodal transportation network? Insights from a hub seaport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:transa:v:200:y:2025:i:c:s0965856425002496
    DOI: 10.1016/j.tra.2025.104621
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    References listed on IDEAS

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    1. Yin, Chuanzhong & Zhang, Zi-Ang & Fu, Xiaowen & Ge, Ying-En, 2024. "A low-carbon transportation network: Collaborative effects of a rail freight subsidy and carbon trading mechanism," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    2. Li, Shan & Wu, Jianhong & Jiang, Yonglei & Yang, Xutao, 2024. "Impacts of the sea-rail intermodal transport policy on carbon emission reduction: The China case study," Transport Policy, Elsevier, vol. 158(C), pages 211-223.
    3. Lu, Mengyuan & Perez, Edgar Jimenez & Mason, Keith & Li, Max Z., 2025. "A hierarchical spatial and temporal optimisation of the air-high speed rail intermodal network," Journal of Transport Geography, Elsevier, vol. 123(C).
    4. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    5. Meiyan Li & Xiaoni Sun, 2022. "Path Optimization of Low-Carbon Container Multimodal Transport under Uncertain Conditions," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    6. Wang, Minke & Wu, Jiang & Kafa, Nadine & Klibi, Walid, 2020. "Carbon emission-compliance green location-inventory problem with demand and carbon price uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    7. Somsai, Thanatporn & Pongcharoen, Pupong & Hicks, Christian, 2024. "Optimizing sustainable multimodal distribution networks in the context of carbon pricing, with a case study in the Thai sugar industry," Energy, Elsevier, vol. 298(C).
    8. Chen, Xinghui & Hu, Xinghua & Liu, Haobing, 2024. "Low-carbon route optimization model for multimodal freight transport considering value and time attributes," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    9. Ji, Jingna & Li, Tao & Yang, Lei, 2023. "Pricing and carbon reduction strategies for vertically differentiated firms under Cap-and-Trade regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    10. Zeng, Isabella Yunfei & Du, Chenmu & Xiong, Jianliang & Gong, Ting & Wu, Tian, 2024. "Tax policy or carbon emission quota: A theory on traditional ICEV transportation regulation," Energy, Elsevier, vol. 289(C).
    11. Yin, Chuanzhong & Zeng, Lingyong & Fu, Xiaowen & Zhong, Meisu, 2025. "Transition of multimodal transport network under different carbon price scenarios," Transport Policy, Elsevier, vol. 164(C), pages 1-26.
    12. Zhang, Weipan & Wu, Xianhua & Chen, Jihong, 2024. "Low-carbon efficiency analysis of rail-water multimodal transport based on cross efficiency network DEA approach," Energy, Elsevier, vol. 305(C).
    13. Guo, Xiaoyan & He, Junliang & Yu, Hang & Liu, Mei, 2023. "Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    14. Li, Hao & Taherkhani, Gita & Alumur, Sibel A. & Hewitt, Mike, 2025. "Strategic expansion of freight transportation hub networks under demand uncertainty," Omega, Elsevier, vol. 131(C).
    15. Y Bouchery & Jan C Fransoo, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," Post-Print hal-01954452, HAL.
    16. Li, Jiachang & Sun, Xiaoqian & Cong, Wei & Miyoshi, Chikage & Ying, Lee Chui & Wandelt, Sebastian, 2024. "On the air-HSR mode substitution in China: From the carbon intensity reduction perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 180(C).
    17. Guo, Quanlin & Yin, Chuanzhong & Zheng, Shiyuan, 2025. "An intermodal transport network planning scheme considering carbon emissions," Energy, Elsevier, vol. 322(C).
    18. Baicheng Yan & Min Xu, 2023. "Container flow template planning in seaport railway terminal with on-dock rails," Maritime Policy & Management, Taylor & Francis Journals, vol. 50(4), pages 538-561, May.
    19. Bouchery, Yann & Fransoo, Jan, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 388-399.
    20. Gao, Ying & Guo, Zhuainv & Feng, Zhuo & Zhang, Shuibo, 2025. "Strategic highway development in port competition: A game-theoretical approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).
    21. Xu, Haonan & Liu, Jiaguo & Qi, Siwen, 2024. "Incentive policy for rail-water multimodal transport: Subsidizing price or constructing dry port?," Transport Policy, Elsevier, vol. 150(C), pages 219-243.
    22. Wang, Zujian & Qi, Mingyao, 2019. "Service network design considering multiple types of services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 1-14.
    23. Wang, Tingsong & Wu, Zehua & Cheng, Peiyue & Wang, Yadong, 2024. "The effect of carbon quota allocation methods on maritime supply chain emission reduction," Transport Policy, Elsevier, vol. 157(C), pages 155-166.
    24. Goyal, Srishti & Llop, Maria, 2024. "The shipping industry under the EU Green Deal: An Input-Output impact analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    25. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    26. Jiang, Jiehui & Sheng, Dian, 2025. "Multi-period regional low-carbon logistics network planning with uncertain demand," Energy, Elsevier, vol. 331(C).
    27. Wu, Jiaxuan & Sun, Xiaoqian & Xu, Yifan & Jiang, Changmin & Wandelt, Sebastian, 2025. "Hydrogen airport location selection and fleet assignment under policy considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
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