摘要
全球海运CO_2排放体系对航运公司设计轴-辐式集装箱海运网络具有直接影响.通过度量集装箱运输成本、港口挂靠成本、CO_2排放成本,结合集装箱流量守恒与枢纽港口容量限制两个约束,构建了考虑CO_2排放的轴-辐式集装箱海运网络优化模型.运用拉格朗日松弛算法对模型进行求解,仿真结果验证了模型与算法的有效性,也表明CO_2排放成本与枢纽港口利用率之间存在着负相关关系,枢纽港口容量影响着航运公司的港口选择行为.
The CO2 emissions system of global maritime has a direct effect on shipping company＇s design for hub-and-spoke container shipping network. Based on the measurement of container transportation costs, harbour dues and CO2 emissions costs as well as the constraints of container flow equilibrium and hub port capacity limit, a hub-and-spoke container shipping network optimization model by considering CO2 emissions is established. Lagrangian relaxation algorithm is applied to solve the model. Numerical experiments show that the model and algorithm are effective. Furthermore, CO2 emissions costs are negatively correlated with utilization ratio of hub port, and hub port capacity limit also affects the port selection decision-making of shipping companies.
出处
《系统工程学报》
CSCD
北大核心
2015年第3期383-393,共11页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(71403035
71273037)
交通运输部交通软科学资助项目(2013-322-225-240)
中央高校基本科研业务费专项资金资助项目(3132013080
3132013336)
关键词
轴-辐式网络
CO2排放
集装箱海运
拉格朗日松弛
hub-and-spoke network
CO2 emissions
container shipping network
Lagrangian relaxation
