基于城市群的铁路白货物流需求集聚方法研究

为满足白货物流需求,提升铁路白货物流市场竞争力,在阐述白货品类物流需求特点的基础上,分析铁路在白货物流市场缺乏市场竞争力的原因,提出构建铁路白货物流需求集聚模型,将铁路车站间的白货物流需求转化为以城市为基本单位的物流需求,运用K-means聚类算法实现基于城市群的铁路白货物流需求集聚,为铁路白货物流需求集聚、班列化的白货运输产品方向选择和有效吸引新增白货货源提供了方法与依据。实例分析表明,聚类后的全程运到时限明显改善,为开行高质量的"点对点"班列提供理论支撑。

A Research on Demand Agglomeration Method of Railway White Goods Logistics based on Urban Agglomeration

In order to meet the demand of white goods logistics and enhance the market competitiveness of railway white goods logistics,based on expounding the characteristics of white goods logistics demand,this paper analyses the reasons why railways lack market competitiveness in the white goods logistics market,and puts forward a demand aggregation model of railway white goods logistics,which transforms the demand of white goods logistics between railway stations into logistics demand based on the basic unit of city.The paper also uses K-means clustering algorithm to realize the demand aggregation of railway white goods logistics based on urban agglomeration,which provides a method and basis for the demand aggregation of railway white goods logistics,the direction selection of white goods transport products in shifts and the effective attraction of new white goods sources.The case analysis shows that the arrival time of the whole journey after clustering is obviously shortened,which provides theoretical support for the operation of high-quality point-to-point shifts.