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

Lingyue Li, Suixiang Gao and Wenguo Yang ()
Additional contact information
Lingyue Li: Guangzhou University
Suixiang Gao: University of Chinese Academy of Sciences
Wenguo Yang: University of Chinese Academy of Sciences

Journal of Combinatorial Optimization, 2022, vol. 44, issue 4, No 22, 2576 pages

Abstract: 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.

Keywords: Maritime transportation; Semi-random input model; Emission control areas; On-board fuel sampling (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10878-021-00756-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jcomop:v:44:y:2022:i:4:d:10.1007_s10878-021-00756-8

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10878

DOI: 10.1007/s10878-021-00756-8

Access Statistics for this article

Journal of Combinatorial Optimization is currently edited by Thai, My T.

More articles in Journal of Combinatorial Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().