LNG Bunkering Station Deployment Problem—A Case Study of a Chinese Container Shipping Network

Qi, Jingwen; Wang, Shuaian

doi:10.3390/math11040813

Cited by 6 publications

(5 citation statements)

References 37 publications

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“…Error Scrubber = FP FP + TN (12) where Error VLSFO is the error rate of the VLSFO and Error Scrubber is the error rate of the scrubber.…”

Section: Accuracy and Error Ratementioning

confidence: 99%

“…Even before the policy was implemented, LNG was seen as a promising alternative fuel that could effectively reduce pollution, but also had certain safety concerns [10]. It is mainly characterized by its susceptibility to leaks that can cause serious accidents [11], especially in coastal areas where there is a lack of complete infrastructure for fuel refueling [12]. Although some government subsidies are widely used [13], LNG prices may change abruptly at any time [14].…”

Section: Introductionmentioning

confidence: 99%

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New Exploration of Emission Abatement Solution for Newbuilding Bulk Carriers

Huang,

2024

JMSE

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With the implementation of the International Maritime Organization’s (IMO) sulfur cap 2020, shipowners have had to choose suitable sulfur oxide emission abatement solutions to respond to this policy. The use of Very Low Sulfur Fuel Oil (VLSFO) and the installation of scrubbers are the main response solutions for bulk carriers today. In recent years, the epidemic has gradually improved, and the options facing shipowners may change. Based on the Clarkson Shipping Intelligence Network, this paper collects data related to newbuilding bulk carriers after the implementation of this policy, considers several factors affecting shipowners’ decision, and adopts a machine learning approach for the first time to build a model and make predictions on emission abatement solutions to provide some reference for shipowners to choose a more suitable solution. The results of the study show that the Extreme Gradient Boosting (XGBoost) model is more suitable for the problem studied in this paper, and the highest prediction accuracy of about 84.25% with an Area Under the Curve (AUC) value of 0.9019 is achieved using this model with hyperparameter adjustment based on a stratified sampling divided data set. The model makes good predictions for newbuilding bulk carriers. In addition, the deadweight tonnage and annual distance traveled of a ship have a greater degree of influence on the choice of its option, which can be given priority in the decision making. In contrast to traditional cost–benefit analyses, this study incorporates economic and non-economic factors and uses machine learning methods for effective classification, which have the advantage of being fast, comparable, and highly accurate.

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“…Error Scrubber = FP FP + TN (12) where Error VLSFO is the error rate of the VLSFO and Error Scrubber is the error rate of the scrubber.…”

Section: Accuracy and Error Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New Exploration of Emission Abatement Solution for Newbuilding Bulk Carriers

Huang,

2024

JMSE

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“…It is widely believed that government subsidies play an indispensable role in the development of transportation, especially in cases where the operational costs are high [24,25]. Jiang et al [26] compared the fee structures of five CER routes and related seaborne container shipping routes under government subsidies.…”

Section: Government Subsidies For Cerementioning

confidence: 99%

Modeling Government Subsidy Strategies for Railway Carriers: Environmental Impacts and Industry Competition

2023

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In this paper, we investigate the government’s optimal subsidy strategy for the China–Europe Railway Express (CERE) considering environmental impacts and industry competition. Specifically, we consider three subsidy options: no subsidies, subsidies to CERE carriers, and subsidies to shippers. A game theory framework is developed to analyze the problem of developing a sustainable supply chain consisting of the government, competitive carriers, and shippers. First of all, we find that for the government, indirect subsidies to CERE carriers and direct subsidies to shippers lead to the same total social welfare. We then examine the conditions for phasing out government subsidies. Our results indicate that the government’s optimal subsidy strategy switches at a threshold level of CERE’s environmental advantage. In particular, when the environmental advantage of CERE is high, the government should subsidize CERE by subsidizing either the carrier or shipper. In contrast, when the environmental advantage of CERE is low, the government should opt out of subsidies. At last, we find that this threshold of CERE’s environmental advantage is further impacted by CERE’s capacity and marginal operating costs. This study differs from prior research by investigating various subsidy strategies while taking into account CERE’s emission advantage and the timing of subsidy withdrawal.

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“…Given that the influence of transportation cost and contractor behavior needs to be further explored, a systematic study is necessary to optimize the current CWDC scheme, and this is the main objective of this paper. Specifically, we use a bilevel programming methodology (Hu et al., 2022; Qi & Wang, 2023) to explicitly depict the interaction between contractors and CW managers. Bilevel programming is a type of optimization that contains another optimization problem in the constraints.…”

Section: Introductionmentioning

confidence: 99%

Construction and demolition waste disposal charging scheme design

Chen

Yuan

et al. 2023

Computer aided Civil Eng

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Construction and demolition waste disposal charging is a critical component in construction waste (CW) management. Over the past few decades of implementation around the world, the effectiveness of waste disposal charging in decreasing negative environmental impact is gradually being questioned. This paper identifies two intertwined issues that have not attracted sufficient attention in actual practice. One is the consideration of contractors’ behavior, which is economically driven. Another is the influence of waste transportation, which is also a major stream of environmental pollution. These two aspects significantly affect the effectiveness of the waste disposal charging scheme. Contractors may not transport their generated CW to appropriate disposal facilities. They make decisions based on the disposal and transportation cost. To address this problem, this paper proposes a general construction and demolition waste disposal charging design methodology in which contractors’ behavior and the influence of waste transportation are taken into account. A mixed‐integer programming model is developed for the optimal design of the charging fees, which analytically formulates both of the abovementioned aspects. Furthermore, we developed a model that partially modifies the current charging scheme to better fulfill the environmental protection objective. Extensive numerical experiments demonstrate that the proposed methodology can effectively change contractors’ waste disposal decisions and significantly decrease the negative environmental impact of construction and demolition waste. This study contributes to a new perspective to better design the construction and demolition waste disposal charging scheme and has a wide range of applicability.

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LNG Bunkering Station Deployment Problem—A Case Study of a Chinese Container Shipping Network

Cited by 6 publications

References 37 publications

New Exploration of Emission Abatement Solution for Newbuilding Bulk Carriers

New Exploration of Emission Abatement Solution for Newbuilding Bulk Carriers

Modeling Government Subsidy Strategies for Railway Carriers: Environmental Impacts and Industry Competition

Construction and demolition waste disposal charging scheme design

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