Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions

Zhihong Jin, Xin Lin, Linlin Zang, Weiwei Liu and Xisheng Xiao
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Zhihong Jin: Transportation Engineering College, Dalian Maritime University, Dalian 116026, China
Xin Lin: School of Management, Zhejiang University, Hangzhou 310058, China
Linlin Zang: Transportation Engineering College, Dalian Maritime University, Dalian 116026, China
Weiwei Liu: School of Economics and Management, Dalian University of Technology, Dalian 116024, China
Xisheng Xiao: Bigdata Technology Institute, Guizhou Light Industry Polytechnic College, Guiyang 550025, China

Sustainability, 2021, vol. 13, issue 7, 1-16

Abstract: 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.

Keywords: container seaport; carbon emissions; lane allocation; truck appointment system; infrastructure scheduling; fractional integer programming; branch-and-bound algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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