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Optimizing Sulfur Emission Control Areas for Shipping

Author

Listed:
  • Lu Zhen

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Dan Zhuge

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Shuanglu Zhang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Shuaian Wang

    (Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong)

  • Harilaos N. Psaraftis

    (Department of Technology, Management, and Economics, Technical University of Denmark, 2800 Kongens Lyngby, Denmark)

Abstract

The design of emission control areas (ECAs), including ECA width and sulfur limits, plays a central role in reducing sulfur emissions from shipping. To promote sustainable shipping, we investigate an ECA design problem that considers the response of liner shipping companies to ECA designs. We propose a mathematical programming model from the regulator’s perspective to optimize the ECA width and sulfur limit, with the aim of minimizing the total sulfur emissions. Embedded within this regulator’s model, we develop an internal model from the shipping liner’s perspective to determine the detoured voyage, sailing speed, and cargo transport volume with the aim of maximizing the liner’s profit. Then, we develop a tailored hybrid algorithm to solve the proposed models based on the variable neighborhood search meta-heuristic and a proposition. We validate the effectiveness of the proposed methodology through extensive numerical experiments and conduct sensitivity analyses to investigate the effect of important ECA design parameters on the final performance. The proposed methodology is then extended to incorporate heterogeneous settings for sulfur limits, which can help regulators to improve ECA design in the future.

Suggested Citation

  • Lu Zhen & Dan Zhuge & Shuanglu Zhang & Shuaian Wang & Harilaos N. Psaraftis, 2024. "Optimizing Sulfur Emission Control Areas for Shipping," Transportation Science, INFORMS, vol. 58(3), pages 614-638, May.
    • Handle: RePEc:inm:ortrsc:v:58:y:2024:i:3:p:614-638
    DOI: 10.1287/trsc.2023.0278
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    Citations

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    Cited by:

    1. Xie, Chi & Cui, Zheng & Long, Daniel Zhuoyu & Qi, Jin, 2025. "Distributionally robust optimization for minimizing price fluctuations in quota system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    2. Zhang, Jun-Qing & Woo, Su-Han & Li, Kevin X., 2024. "Port-city synergism and regional development policy: Evidence from the Yangtze River Region," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    3. Xu, Song & Ou, Xiangyue & Govindan, Kannan & Chen, Mingzhou & Yang, Wenting, 2025. "An adaptive genetic hyper-heuristic algorithm for a two-echelon vehicle routing problem with dual-customer satisfaction in community group-buying," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    4. Guo, Yuhan & Wang, Yiyang & Chen, Yuhan & Wu, Lingxiao & Mao, Wengang, 2024. "Learning-based Pareto-optimum routing of ships incorporating uncertain meteorological and oceanographic forecasts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).

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