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Incorporating revenue loss and congestion cost into rail freight subsidy design: Lessons learned from the China-Europe freight transportation network

Author

Listed:
  • Xie, Chi
  • Wang, Rusi
  • Wang, Dianlei
  • Zou, Bo
  • Fu, Xiaowen
  • Chen, Xiqun
  • Lu, Qing-Chang

Abstract

Using the China-Europe freight transportation market as a real-world case, this study utilizes network-based evaluation and optimization models to analyze and improve the efficacy of government subsidies on China Railway Express (CRE). To ensure the completeness and effectiveness of the evaluation and optimization results, we include into the models the full range of CRE service lines, China-Europe liner shipping lines, major highway networks in China and Europe, and all types of containerized freight demands in the market. A multimodal, multicommodity freight transportation network equilibrium model explicitly considering transportation capacity is taken as a subsidy evaluation tool, which can characterize the individual mode-route choice behavior and take into account shipping cost, transit time, capacity-induced congestion surcharge, and unobserved transportation impedances as shippers' decision-making disutility. The evaluation work reveals that the currently implemented subsidy scheme increases the CRE-carried freight volume by 78.7 % in total. However, it does not perform equitably well for those CRE lines that experience heavy congestion or depart from coastal regions of China, and it even exacerbates the congestion of some CRE lines. To overcome these unexpected deficiencies, we propose and implement a subsidy optimization model of a bi-term objective and bi-level structure for simultaneously maximizing capacity utilization and minimizing congestion level of all CRE lines. This model embeds the aforementioned network equilibrium model as its submodel in the lower level. From the optimized subsidy scheme, we found that while the government's monthly average subsidy expenditure is lowered by 7.7 %, the total revenue loss and total congestion surcharge decrease by 27.7 % and 63.9 %, respectively, compared to the current subsidy scenario. This result indicates a tripartite win-win-win situation for the government, CRE operator, and cargo shippers. Overall, through such an optimal subsidy design, the social benefit generated by a subsidy expenditure of $1 increases from $0.69 to $1.20 to the entire China-Europe freight transportation market.

Suggested Citation

  • Xie, Chi & Wang, Rusi & Wang, Dianlei & Zou, Bo & Fu, Xiaowen & Chen, Xiqun & Lu, Qing-Chang, 2025. "Incorporating revenue loss and congestion cost into rail freight subsidy design: Lessons learned from the China-Europe freight transportation network," Transport Policy, Elsevier, vol. 174(C).
  • Handle: RePEc:eee:trapol:v:174:y:2025:i:c:s0967070x25003622
    DOI: 10.1016/j.tranpol.2025.103819
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    References listed on IDEAS

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    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. Fenling Feng & Tianzuo Zhang & Chengguang Liu & Lifeng Fan, 2020. "China Railway Express Subsidy Model Based on Game Theory under “the Belt and Road” Initiative," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    3. Qu, Chenrui & Zeng, Qingcheng & Li, Kevin X. & Lin, Kun-Chin, 2020. "Modeling incentive strategies for landside integration in multimodal transport chains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 47-64.
    4. Sofiyandi, Yusuf & Kurniawan, Yusuf Reza & Yudhistira, Muhammad Halley, 2023. "The impact of maritime logistics subsidy on food prices: Evidence from Indonesia," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 1026-1045.
    5. Macharis, Cathy & Pekin, Ethem, 2009. "Assessing policy measures for the stimulation of intermodal transport: a GIS-based policy analysis," Journal of Transport Geography, Elsevier, vol. 17(6), pages 500-508.
    6. Gong, Xu & Li, Zhi-Chun, 2022. "Determination of subsidy and emission control coverage under competition and cooperation of China-Europe Railway Express and liner shipping," Transport Policy, Elsevier, vol. 125(C), pages 323-335.
    7. Kundu, Tanmoy & Sheu, Jiuh-Biing, 2019. "Analyzing the effect of government subsidy on shippers’ mode switching behavior in the Belt and Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 175-202.
    8. Bliemer, Michiel C.J. & Raadsen, Mark P.H. & Smits, Erik-Sander & Zhou, Bojian & Bell, Michael G.H., 2014. "Quasi-dynamic traffic assignment with residual point queues incorporating a first order node model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 363-384.
    9. Wen, Xin & Ma, Hoi-Lam & Choi, Tsan-Ming & Sheu, Jiuh-Biing, 2019. "Impacts of the Belt and Road Initiative on the China-Europe trading route selections," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 581-604.
    10. Wang, Peirong (Slade) & Li, Pengfei (Taylor) & Chowdhury, Farzana R. & Zhang, Li & Zhou, Xuesong, 2020. "A mixed integer programming formulation and scalable solution algorithms for traffic control coordination across multiple intersections based on vehicle space-time trajectories," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 266-304.
    11. Torbjörn Larsson & Michael Patriksson, 1992. "Simplicial Decomposition with Disaggregated Representation for the Traffic Assignment Problem," Transportation Science, INFORMS, vol. 26(1), pages 4-17, February.
    12. Zhao, Laijun & Zhao, Yue & Hu, Qingmi & Li, Huiyong & Stoeter, Johan, 2018. "Evaluation of consolidation center cargo capacity and loctions for China railway express," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 58-81.
    13. Zhou, Yaoming & Kundu, Tanmoy & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Multimodal transportation network centrality analysis for Belt and Road Initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    14. Baindur, Deepak & Viegas, José Manuel, 2011. "An agent based model concept for assessing modal share in inter-regional freight transport markets," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1093-1105.
    15. Yang, Dong & Pan, Kai & Wang, Shuaian, 2018. "On service network improvement for shipping lines under the one belt one road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 82-95.
    16. Hu, Qiaolin & Gu, Weihua & Wang, Shuaian, 2022. "Optimal subsidy scheme design for promoting intermodal freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    17. 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).
    18. Jiang, Yonglei & Sheu, Jiuh-Biing & Peng, Zixuan & Yu, Bin, 2018. "Hinterland patterns of China Railway (CR) express in China under the Belt and Road Initiative: A preliminary analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 189-201.
    19. Perera, Loshaka & Thompson, Russell G. & Wu, Wenyan, 2021. "Toll and subsidy for freight vehicles on urban roads: A policy decision for City Logistics," Research in Transportation Economics, Elsevier, vol. 90(C).
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