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The enforcement of ECA regulations: inspection strategy for on-board fuel sampling

Author

Listed:
  • Lingyue Li

    (Guangzhou University
    University of Chinese Academy of Sciences)

  • Suixiang Gao

    (University of Chinese Academy of Sciences)

  • Wenguo Yang

    (University of Chinese Academy of Sciences)

Abstract

At present, the effective implementation of emission control areas regulation is faced with the problems of limited inspection capacity and unknown ship behavior. To bridge this gap, this paper quantitatively analyzes the inspection strategy (which arriving ships are selected for inspection) for on-board fuel sampling considering limited inspection capacity and ships’ violation behaviors. We first describe the behaviors of ships by considering economic benefit, social responsibility and other factors to analyze the actual situation. Based on this, a semi-random input model with limited inspection capacity is established and the optimal inspection strategy is obtained. Furthermore, the impacts of related factors on the optimal inspection strategy are analyzed. Finally, measures that based on automatic identification system data are proposed to improve the inspection strategy. The results show that compared to randomly select ships, the method proposed in our study can determine a more reasonable inspection strategy. Additionally, the AIS-based method may be a possible way to improve the inspection strategy.

Suggested Citation

  • Lingyue Li & Suixiang Gao & Wenguo Yang, 2022. "The enforcement of ECA regulations: inspection strategy for on-board fuel sampling," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2551-2576, November.
    • Handle: RePEc:spr:jcomop:v:44:y:2022:i:4:d:10.1007_s10878-021-00756-8
    DOI: 10.1007/s10878-021-00756-8
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    References listed on IDEAS

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    1. Du, Yuquan & Chen, Qiushuang & Quan, Xiongwen & Long, Lei & Fung, Richard Y.K., 2011. "Berth allocation considering fuel consumption and vessel emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1021-1037.
    2. Li, Lingyue & Gao, Suixiang & Yang, Wenguo & Xiong, Xing, 2020. "Ship’s response strategy to emission control areas: From the perspective of sailing pattern optimization and evasion strategy selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    3. Xia, Jun & Wang, Kai & Wang, Shuaian, 2019. "Drone scheduling to monitor vessels in emission control areas," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 174-196.
    4. Gunnar Prause & Eunice Omolola Olaniyi, 2019. "A compliance cost analysis of the SECA regulation in the Baltic Sea," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 1907-1921, June.
    5. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
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    Cited by:

    1. Lixin Shen & Jie Sun & Dong Yang, 2024. "Research on Path Optimization for Collaborative UAVs and Mothership Monitoring of Air Pollution from Port Vessels," Sustainability, MDPI, vol. 16(12), pages 1-33, June.
    2. Sheng, Dian & Wang, YiYao & Wang, Hua & Liu, Baoli & Tang, Tianpei, 2024. "Enforcement of the global sulphur cap: Can self-reporting provide a better solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).

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