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Algorithm for regional clustering of road freight transport in the Russian Federation
The road transport system of the Russian Federation is a system for managing road freight transport, which includes three levels: the macro-level is the federal level of management, the meso-level is the regional level of management, and the micro-level is the level of a motor transport enterprise (...
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Published in: | IOP conference series. Materials Science and Engineering 2020-11, Vol.953 (1), p.12081 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | The road transport system of the Russian Federation is a system for managing road freight transport, which includes three levels: the macro-level is the federal level of management, the meso-level is the regional level of management, and the micro-level is the level of a motor transport enterprise (transport subdivision). According to the Transport Strategy of the Russian Federation, the system of road freight transport is faced with the tasks of increasing competitiveness, improving quality indicators, safety and environmental friendliness of transportation. Within the framework of this paper, the meso-level of management is considered, and the solution of the indicated tasks is seen through the formation of clusters. The study was based on a review of scientific literature, study of data from the Federal State Statistics Service, the use of expert and logical methods, methods of description and analogy, as well as correlation analysis and mathematical optimization. The presented clustering algorithm made it possible to distinguish two groups of regions. The first group is a group of innovators, regions with the greatest opportunities for the implementation and dissemination of innovations. The regions of this group are the cores of clusters. The second group is a group of imitators, regions with less innovative potential. The regions were grouped around the cores according to geography and the dominant mode of transportation. As a result, seven regional clusters were obtained. Optimization measures are aimed at increasing the efficiency of management in the field of road freight transport and enhancing the development and dissemination of innovations at the meso-level. |
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ISSN: | 1757-8981 1757-899X |
DOI: | 10.1088/1757-899X/953/1/012081 |