Abstract This paper addresses the container liner shipping network design by explicitly taking into account shipper's inertia preference and non-inertial preference. Firstly, using the double-constrained gravity model and Newton calibration method to predict the future OD demand matrix which is considered as the input of the model, and then the liner shipping company profit maximization is taken as the objective function to optimize the ship shipping routes, ship type and ship speed. A hybrid genetic algorithm is designed to solve CLSNDP (Container Liner Shipping Network Design Problem). We validate the proposed model by employing a real liner shipping network on the trade shipping route between Asia and West Europe. Through sensitivity analysis, it is found that the service level and market share of container liner shipping company can be improved by considering the dual preference of shippers. In the non-inertia preference of shippers, when cost preference of shippers is greater than time preference, using large ships (over 7000TEU) can achieve greater profits and realize the scale economies of lager ships.

中文翻译：

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具有托运人双重偏好的集装箱班轮运输网络设计

摘要 本文通过明确考虑托运人的惯性偏好和非惯性偏好来解决集装箱班轮运输网络设计。首先利用双约束重力模型和牛顿标定法预测未来OD需求矩阵作为模型的输入，然后以班轮航运公司利润最大化为目标函数优化船舶航线、船型和船速。设计了一种混合遗传算法来解决 CLSNDP（集装箱班轮运输网络设计问题）。我们通过在亚洲和西欧之间的贸易航线上采用真实的班轮运输网络来验证所提出的模型。通过敏感性分析，研究发现，考虑托运人的双重偏好可以提高集装箱班轮航运公司的服务水平和市场份额。在托运人的非惯性偏好中，当托运人的成本偏好大于时间偏好时，使用大船（7000TEU以上）可以获得更大的利润，实现大船的规模经济。