Cluster analysis in railroad logistics in Kazakhstan

This research addresses issues related to the developed methodology for assessing the effectiveness of the structure of railroad logistics of the Republic of Kazakhstan. The purpose of the study is to review and evaluate the effectiveness of the railway logistics of the Republic of Kazakhstan using regression models based on cluster analysis. In the work the grouping of transport and logistics systems was carried out according to the indicators that have the most significant impact on the objects of transport and logistics infrastructure. Since the grouping of transport and logistics systems is required to produce a number of factors that are of heterogeneous nature (quantitative point estimation) the methods of cluster analysis were used to solve this problem.