Abstract: Aiming at the problems of vessel’s emissions and liner ship fleet deployment in container shipping system, the composition of total liner operation costs was analyzed. According to the features of cycle multi-port call route in ocean liner service, as well as the characteristics of container transshipment, a multi-objective mixed integer nonlinear programming model for liner ship company fleet deployment was established with the objective of minimizing total costs of liner operation and emissions, which was based on the low-carbon economy on the premise that vessel’s speed was made as decision variables. And then the multi-objective recursive algorithm was applied to solve the function. The sensitivity analysis of sailing speed and Pareto were analyzed in case studies, the lowest emissions speed was discovered. Moreover, making use of the features of shipping hub and spoke network, hub pots were chosen from many parts to generate scale economies. Result indicates that the proposed model can simultaneously develop fleet allocation and container transshipment and its optimization result accords with the actual condition, which is referential for the vessel capacity decision for the supply and demand balance of shipping market.

Key words: transportation engineering, fleet deployment, emissions, Pareto analysis, multi-objective programming

摘要： 针对集装箱海运中船舶排放、船队部署问题，分析了班轮运营总成本的构成，依据班轮远洋多港挂靠循环航线特征及集装箱转运特点，以可变船舶航速为决策变量，船舶运营总成本与船舶排放量最小化为目标，建立了基于低碳经济下的班轮公司船队部署多目标混合整数非线性规划模型，并引用了多目标递推算法进行求解。算例中通过对航行速度的灵敏度与帕累托分析，发现了船舶最低排放的航行速度。其次，运用航运轴辐式网络的特点，从众多港口中选择部分枢纽港进行转运形成干线运输规模效应。结果表明：该模型可以同时决策船队部署和集装箱转运，其优化结果更符合实际情况，对航运市场供需平衡的运力配置决策具有借鉴意义。

关键词: 交通运输工程, 船队部署, 排放, 帕累托分析, 多目标规划