Node Location Study of an Urban Underground Container Logistics Network

Abstract

Underground logistics systems are becoming a new way to solve the problems of urban logistics delivery and surface traffic congestion. Among them, intelligent containers, as a means of transport in the underground logistics trunk network, will allow for significantly less volumes for the logistics OD (starting point to the destination of the flow of goods), where container logistics network node site selection has been a key issue of the city's underground logistics network planning. Based on an analysis of the characteristics of urban logistics OD, this paper builds a model that targets and optimizes parameters, such as infrastructure cost and operating cost, from the perspective of the system builder. The cplex algorithm was used to solve the model. Finally, the validity and logic of the model and algorithm are verified via case study analysis.