TY - JOUR
T1 - Governmental subsidy plan modeling and optimization for liquefied natural gas as fuel for maritime transportation
AU - Wang, Shuaian
AU - Qi, Jingwen
AU - Laporte, Gilbert
N1 - Funding Information:
This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China [Project number 15202019 ] and the National Natural Science Foundation of China [Grant Nos. 72071173 , 71831008 ]. Gilbert Laporte was supported by the Canadian Natural Sciences and Engineering Research Council [grant number 2015-06189 ].
Publisher Copyright:
© 2021
PY - 2022/1
Y1 - 2022/1
N2 - Environmental concerns are currently a major issue in the maritime transportation industry. A practical approach to implementing green maritime transportation is to adopt liquefied natural gas (LNG) as marine fuel. Government subsidies would efficiently stimulate the adoption of LNG in maritime transportation as marine fuel. However, the question of how to determine the appropriate amount of subsidies has not yet been investigated in depth. In this paper, a trilevel programming model is proposed to address the subsidy optimization problem. Decisions at the government, port, and ship levels are integrated into the model, which aims to maximize the social benefit government's net profit. Based on the behavior rules of ship operators, a tailored method is proposed to convert the bilevel (port level and ship level) problem into an equivalent single-level problem. Embedded in an enumeration algorithm, the method significantly reduces the difficulty of solving the problem. A series of numerical experiments with realistic parameters were conducted to show the significance of this study and validate the proposed model and algorithm.
AB - Environmental concerns are currently a major issue in the maritime transportation industry. A practical approach to implementing green maritime transportation is to adopt liquefied natural gas (LNG) as marine fuel. Government subsidies would efficiently stimulate the adoption of LNG in maritime transportation as marine fuel. However, the question of how to determine the appropriate amount of subsidies has not yet been investigated in depth. In this paper, a trilevel programming model is proposed to address the subsidy optimization problem. Decisions at the government, port, and ship levels are integrated into the model, which aims to maximize the social benefit government's net profit. Based on the behavior rules of ship operators, a tailored method is proposed to convert the bilevel (port level and ship level) problem into an equivalent single-level problem. Embedded in an enumeration algorithm, the method significantly reduces the difficulty of solving the problem. A series of numerical experiments with realistic parameters were conducted to show the significance of this study and validate the proposed model and algorithm.
KW - Governmental subsidy
KW - Liquefied natural gas (LNG)
KW - Maritime transportation
KW - Trilevel programming
UR - http://www.scopus.com/inward/record.url?scp=85121148996&partnerID=8YFLogxK
U2 - 10.1016/j.trb.2021.11.003
DO - 10.1016/j.trb.2021.11.003
M3 - Journal article
AN - SCOPUS:85121148996
SN - 0191-2615
VL - 155
SP - 304
EP - 321
JO - Transportation Research, Series B: Methodological
JF - Transportation Research, Series B: Methodological
ER -