STUDY OF MATHEMATICAL MODELING OF THE FORMATION OF TRANSPORT LOGISTICS TERMINALS

Author:

Mukhamedova Ziyoda, ,Ibragimova Gulshan,Fayzibaev Sherzod, , ,

Abstract

The article is devoted to cluster analysis of the regions of the potential location of logistics terminals. The subjects of Uzbekistan are divided into four clusters depending on the level of their socio-economic, infrastructural development, geographical location and the volume of transport work performed. A statistical model is developed that includes a set of equations and dependency functions of such socio-economic factors in the formation of the logistics infrastructure of the regions as average per capita income of the population, the gross regional product (GRP), specific volume of trade and industrial production, exports and imports, the level of investment, the number of the economically active population, the volume of fixed assets and transport services, as well as indices of transport work - the physical volume of transportation by road and rail. The dependence of the volume of transport services in the regions of the Republic of Uzbekistan on the income of the population, the gross regional product, the density of roads, the volume of exports and belonging to clusters was established. As a result, the regions of Uzbekistan, in terms of the location of freight infrastructure on the railways in order to develop potential transport and logistics clusters, were grouped depending on the indices of socio-economic and infrastructure development.

Publisher

Asociatia Profesionala in Tehnologii Moderne de Fabricatie

Reference11 articles.

1. "1. Bureeva, N.N., (2007). Multivariate statistical analysis using "STATISTICA", Educational material, pp. 112, Russia (Nizhny Novgorod).

2. 2. Fayzibaev, S., Mukhamedova, Z., Ergasheva, Z., (2022). Improving the Design Concepts of Equipment for the Assembly Platform of a Rail Service Car Considering Reliability Rates and Real State, IP Conference Proceedings, 2432, 030052.

3. 3. Ivanova, T.A., Dorogina, K. Yu., Popova, I.N., Druzhinin, Yu.D., (2012). Methods for studying socio-economic and demographic processes, FGBOU VPO "Magnitogorsk State. Tech. University named after G.I. Nosov", pp. 155, Russia (Magnitogorsk).

4. 4. Makhkamov, N. Y., Ibragimova, G. R., & Ismatullaev, A. F. (2020). The rational connection coefficient calculation with different train structures. In IOP Conference Series: Materials Science and Engineering (Vol. 918, No. 1, p. 012052). IOP Publishing. https://doi.org/10.1088/1757-899X/918/1/012052.

5. 5. Mukhamedova, Z.G. (2016). Modelling of fluctuations in the main bearing frame of railcar, Int. J. of Mod. Manufact. Technol., VIII (2), 48-53.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3