摘要
随着城市群经济的高速发展,城市群之间的物流运输活动日益频繁。然而,上述活动产生的大量碳排放给城市群物流系统的低碳运营带来了挑战。根据上述背景,我们调查了三种不同投资政策(i.e.,非预算共享机制、集中预算共享机制和条件预算共享机制)下的城市群物流中心选址问题。利用含有均衡条件的数学规划,我们实现了对三种投资情景的数学建模。基于起作用集算法(ASA)框架,一个能够求解模型局部最优解的算法被设计来实现模型求解。以中国长沙–株洲–湘潭地区为例,数值实验被开展以评估三种投资方案的有效性。
With the rapid economic development of urban agglomerations, logistics transportation activities between urban agglomerations are becoming more and more frequent. However, the large amount of carbon emissions generated by these activities poses a challenge to the low-carbon operation of urban agglomeration logistics systems. Based on the above background, we investigate the location of logistics centers in urban agglomerations under three different investment policies (i.e. non-budget sharing mechanism, centralized budget sharing mechanism and conditional budget sharing mechanism). Using mathematical programming with equilibrium conditions, we achieve mathematical modeling of three investment scenarios. Based on the active set algorithm (ASA) framework, an algorithm that can solve the local optimal solution of the model is designed to solve the model. Taking the Changsha-Zhuzhou-Xiangtan region of China as an example, numerical experiments were conducted to evaluate the effectiveness of three investment scenarios.
出处
《管理科学与工程》
2024年第1期84-100,共17页
Management Science and Engineering