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The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels

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  • Chen, Kang
  • Yang, Zhongzhen
  • Notteboom, Theo

Abstract

This paper presents a New Coastal Liner Route Design Model (NCLRDM) for coastal intermodal networks based on the user equilibrium assignment model (UE model). The NCLRDM can determine ports of call, call sequence, ship type and service frequency simultaneously with the objective of minimizing state subsidies for coastal shipping operators under a given carbon emission reduction target for the entire intermodal network. A network-topology method (Temporal–Spatial Expansion) captures differences in traffic assignment between waterway and highway networks. A genetic and Frank–Wolfe hybrid algorithm is used to solve the NCLRDM. The model is applied to the Bohai Bay in China.

Suggested Citation

  • Chen, Kang & Yang, Zhongzhen & Notteboom, Theo, 2014. "The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 192-211.
  • Handle: RePEc:eee:transe:v:61:y:2014:i:c:p:192-211
    DOI: 10.1016/j.tre.2013.11.004
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    Cited by:

    1. Song, Shuang & Govindan, Kannan & Xu, Lei & Du, Peng & Qiao, Xiaojiao, 2017. "Capacity and production planning with carbon emission constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 132-150.
    2. Sheu, Jiuh-Biing, 2014. "Airline ambidextrous competition under an emissions trading scheme – A reference-dependent behavioral perspective," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 115-145.
    3. Sanchez Rodrigues, V. & Pettit, S. & Harris, I. & Beresford, A. & Piecyk, M. & Yang, Z. & Ng, A., 2015. "UK supply chain carbon mitigation strategies using alternative ports and multimodal freight transport operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 40-56.
    4. Tichavska, Miluše & Tovar, Beatriz, 2015. "Port-city exhaust emission model: An application to cruise and ferry operations in Las Palmas Port," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 347-360.
    5. Dongxu Chen & Zhongzhen Yang, 2019. "Investment in container ports along the Maritime Silk Road in the context of international industry transfer: the case of the port of Colombo," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(2), pages 241-257, June.
    6. Wong, Eugene Y.C. & Tai, Allen H. & Lau, Henry Y.K. & Raman, Mardjuki, 2015. "An utility-based decision support sustainability model in slow steaming maritime operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 57-69.
    7. Zhang, Siying & Chen, Ning & Song, Xiaoming & Yang, Jia, 2019. "Optimizing decision-making of regional cold chain logistics system in view of low-carbon economy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 844-857.
    8. Chen, Kang & Xu, Shihe & Haralambides, Hercules, 2020. "Determining hub port locations and feeder network designs: The case of China-West Africa trade," Transport Policy, Elsevier, vol. 86(C), pages 9-22.
    9. Wang, Hua & Wang, Shuaian & Meng, Qiang, 2014. "Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 261-273.
    10. Zhao, Yiran & Yang, Zhongzhen & Haralambides, Hercules, 2019. "Optimizing the transport of export containers along China's coronary artery: The Yangtze River," Journal of Transport Geography, Elsevier, vol. 77(C), pages 11-25.
    11. Chen, Xu & Wang, Xiaojun, 2016. "Effects of carbon emission reduction policies on transportation mode selections with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 196-205.
    12. 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.
    13. Hu, Hongtao & Yuan, Jun & Nian, Victor, 2019. "Development of a multi-objective decision-making method to evaluate correlated decarbonization measures under uncertainty – The example of international shipping," Transport Policy, Elsevier, vol. 82(C), pages 148-157.
    14. Heinold, Arne & Meisel, Frank, 2020. "Emission limits and emission allocation schemes in intermodal freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).

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