Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89335
PIRA download icon_1.1View/Download Full Text
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

Files in This Item:
File Description SizeFormat 
a0625-n03_The Shore Power Deployment Problem for Maritime Transportation.pdfPreprint version991.22 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Author’s Original
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

90
Last Week
2
Last month
Citations as of Apr 14, 2024

Downloads

138
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

54
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

52
Citations as of Apr 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.