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http://hdl.handle.net/10397/89335
| Title: | The shore power deployment problem for maritime transportation | Authors: | Wu, L Wang, S |
Issue Date: | Mar-2020 | Source: | Transportation research. Part E, Logistics and transportation review, Mar. 2020, v. 135, 101883 | Abstract: | In this paper, we study a shore power deployment problem in a container shipping network. The aim of the problem is to develop a subsidy program for a government that achieves the utmost reduction of at-berth emissions from ships in the network. We formulate the problem as a mathematical model that captures the involved relationships among the government, container ports, and shipping lines. The model is hard to solve because it involves a multi-phase process that does not have a closed-form solution. To solve the problem, we develop a tailored labeling algorithm. Extensive numerical experiments are conducted, and the results demonstrate the applicability and efficiency of the solution method for solving practical instances. The results also demonstrate that the solutions delivered by our algorithm to the problem can significantly reduce the at-berth emissions from ships in the shipping network. | Keywords: | Container shipping Green shipping Port operations Shore power |
Publisher: | Pergamon Press | Journal: | Transportation research. Part E, Logistics and transportation review | ISSN: | 1366-5545 | EISSN: | 1878-5794 | DOI: | 10.1016/j.tre.2020.101883 | Rights: | ©2020 Elsevier Ltd. All rights reserved. This is the preprint version of a work that was accepted for publication in Transportation Research Part E: Logistics and Transportation Review. A definitive version was subsequently published in Transportation Research Part E: Logistics and Transportation Review, Volume 135, March 2020, 101883, https://doi.org/10.1016/j.tre.2020.101883 |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| a0625-n03_The Shore Power Deployment Problem for Maritime Transportation.pdf | Preprint version | 991.22 kB | Adobe PDF | View/Open |
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