基于连续平均算法的城市物流网络均衡配流  

Equilibrium Assignment of Urban Logistics Network Based on Successive Average Algorithm

作　　者：叶娟[1] 

机构地区：[1]广东科学技术职业学院,广东广州510640

出　　处：《物流技术》2015年第6期158-162,共5页Logistics Technology

基　　金：广东省教育厅项目(Yq2013177);广东省科学技术厅项目(2012B031500016);校级科研项目(XJMS201318)

摘　　要：分析了城市物流网络的供给和需求的双随机性,考虑了物流车辆在路径选择决策过程中的有限理性、参考依赖和风险偏好等行为特性,建立了基于累积前景理论的物流网络均衡配流模型,并运用连续平均算法进行求解,最后通过算例验证了物流车辆的行为特性对物流网络均衡结果的影响。In this paper, we analyzed the double randomness of the supply and demand in urban logistics network; established the logistics net- work equilibrium assignment model on the basis of the cumulative prospect theory considering the behavioral features including bounded rationality, reference dependency and risk preference etc. of logistics vehicles in route choice; applied the successive average algorithm to calculate and verified that the behavioral features of logistics vehicles had influence on the logistics network equilibrium.

关 键 词：城市物流 双随机性 有限理性 累积前景理论 网络均衡 

分 类 号：F252[经济管理—国民经济] F224