Container Slot Allocation for Time-Sensitive Cargo in Maritime Transportation: A One-Phase Model with consideration of Port Congestion

Yao, Qi; Xu, Lu; Zhang, Qin

doi:10.1155/2021/6622291

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…us, there has been a trend for rapid port development. As an indispensable type of infrastructure in economic development, ports can drive the economic development of a region [1][2][3][4]. With rapid economic development, pollution problems caused by carbon emissions from ports have gradually become prominent.…”

Section: Introductionmentioning

confidence: 99%

Will Port Integration Help Reduce Carbon Emissions and Improve Social Welfare?

Teng

Fang

et al. 2021

Discrete Dynamics in Nature and Society

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In the context of competition between two ports in Cournot, we studied optimal decision-making processes for the government and the port in four different situations before and after the integration of the port based on the subsidy and carbon tax mechanism. We analyzed the impacts of the carbon tax rate and emission reduction subsidy rate on social welfare and determined the optimal carbon tax rate, the optimal emission reduction subsidy rate, the optimal carbon emission level, and the optimal social welfare level in different situations. We also compared the optimal social welfare level and the optimal carbon emission level of the four situations before and after the integration. This research can be used as a policy reference for the government for the formation of environmental policies based on the goal of maximizing social welfare, and it could also be used for the port’s internal decision-making when the environmental policy has been set.

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Section: Introductionmentioning

confidence: 99%

Will Port Integration Help Reduce Carbon Emissions and Improve Social Welfare?

Teng

Fang

et al. 2021

Discrete Dynamics in Nature and Society

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Integrated Optimization of Port Rotation Direction and Fleet Deployment for Container Liner Shipping Routes

Chen

Wang

et al. 2021

Discrete Dynamics in Nature and Society

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This paper provides an integrated planning methodology for the optimization of port rotation direction and fleet deployment for container liner shipping routes with consideration of demand uncertainty. We first consider a special case that demand is deterministic. A multicommodity flow network model is developed via minimizing the total network-wide cost. Its decisions are the selection of port rotation direction and fleet deployment and container routings in the shipping network. Afterward, we address the generic case that uncertain demand is considered, which is represented by potentially realizable demand scenarios. We develop a minimax regret model to procure the least maximum regret across all the demand scenarios. The proposed models are applied to an Asia-Europe-Oceania liner shipping network with 46 ports and 12 ship routes. Results could provide the liner company with a comprehensive decision tool to simultaneously determine port rotation direction and fleet deployment when tackling uncertain demand.

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