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Xin Lin
School of Management, Zhejiang University, Hangzhou 310058, China

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Journal article
Published: 24 March 2021 in Sustainability
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Long queues of arrival trucks are a common problem in seaports, and thus, carbon emissions generated from trucks in the queue cause environmental pollution. In order to relieve gate congestion and reduce carbon emissions, this paper proposes a lane allocation framework combining the truck appointment system (TAS) for four types of trucks. Based on the distribution of arrival times obtained from the TAS, lane allocation decisions in each appointment period are determined in order to minimize the total cost, including the operation cost and carbon emissions cost. The resultant optimization model is a non-linear fractional integer program. This model was firstly transformed to an equivalent integer program with bilinear constraints. Then, an improved branch-and-bound algorithm was designed, which includes further transforming the program into a linear program using the McCormick approximation method and iteratively generating a tighter outer approximation along the branch-and-bound procedure. Numerical studies confirmed the validity of the proposed model and algorithm, while demonstrating that the lane allocation decisions could significantly reduce carbon emissions and operation costs.

ACS Style

Zhihong Jin; Xin Lin; Linlin Zang; Weiwei Liu; Xisheng Xiao. Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions. Sustainability 2021, 13, 3628 .

AMA Style

Zhihong Jin, Xin Lin, Linlin Zang, Weiwei Liu, Xisheng Xiao. Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions. Sustainability. 2021; 13 (7):3628.

Chicago/Turabian Style

Zhihong Jin; Xin Lin; Linlin Zang; Weiwei Liu; Xisheng Xiao. 2021. "Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions." Sustainability 13, no. 7: 3628.