DETERMINATION METHODS OF FACTORS AFFECTING PIGGYBACK TRANSPORTATION
Abstract
The management of intermodal transportation is a complex and responsible process. Rail transport is traditionally used in the implementation of international and intercontinental piggyback transportation. The task of rail transport is to provide transportation over the so-called "land bridges" - land sections on which the route begins and ends, or through which it transits. Despite a significant level of computerization and informatization, the level of delays in the delivery of goods in the field of piggyback intermodal transportation is not decreasing. The unsatisfactory speed of piggyback trains is a significant factor in these delays. This problem is of common nature, and not faced by intermodal operators operating only in the Siberian and Eurasian continental land bridges, which pass through the territory of Russia and Kazakhstan, respectively, and deliver goods from Japan. It also applies to the American and Canadian land bridges, through which Japanese goods reach consumers in the United States and Canada, and through the ports of Germany and the Netherlands - to consumers in Western Europe. This situation has developed due to the lack of effective approaches to building management systems that would demonstrate a high level of efficiency in the face of uncertainty, which is a natural component of the transportation process. The article is devoted to the correlation analysis of factors affecting the cargo turnover of piggyback transportation in the Republic of Uzbekistan. The main factors affecting the cargo turnover of piggyback transportation were identified; the degree of the effect was established by statistical methods. Based on data obtained for the last ten years, a correlation matrix and a regression model of cargo turnover were built. The results obtained make it possible to build forecasts for the cargo turnover of piggyback transportation from two to four years with a 95% confidence interval.
Keywords: multimodal transportation, factor analysis, regression model
References
Annual reports of Uzbekistan Temir Yollari JSC, URL: https://railway.uz/ru/proekty/9018/ access date 12.12.2022.
Mukhamedova, Z. (2020), Analysis and assessment of power efficiency of special self – propelled railway rolling stock, Journal of Advanced Research in Dynamical and Control Systems, 12(2), 2808–2814.
Mukhamedova, Z.G. (2016), Modelling of fluctuations in the main bearing frame of railcar. International Journal of Modern Manufacturing Technologies ISSN 2067–3604, Vol. VIII, 2 , 48-53
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.
Bayandaev, V., (2003), The market of heavy vehicles in Russia in 1999-2002, Territory “NEFTEGAS”,4,18-20.
Kirillov, A., (2019), Management of risks and safety of a transport enterprise, Scientific Notes of the International Banking Institute, 3, 158-172.
Kirillova, A., (2007), Interaction of railway stations and seaports based on the integration of their infrastructure Transport: science, technology, management, 8, 55-56.
Kuzmin, D., (2014), Features of the organization of piggyback transportation using multi-method simulation tools, RISK: Resources, Information, Supply, Competition, 3, 39-43
Shobanov, A., (2000), An integrated approach to assessing the economic efficiency of piggyback transportation, Modern problems of economics and management on the railway transport, 3, 11-67.
Shapkin, A., (2000), Development of piggyback transportation in railway transport, Rail transport, 6, 36-44
Mukhamedova Z.G., Dilbarova M.R., (2022), The study of modern methods for choosing a rational freight traffic by rail. The scientific journal vehicles and roads, 2, 125-130
Manueva, M., (2011), Justification of the rational design of the platform for the transportation of road trains and large-capacity containers, Vestn. VNIIZhT, 4, 53-55.
Sapozhnikov, A., (2003), The choice of a generalized structural scheme of the car for the implementation of piggyback transportation, Ministry of Railways of the Russian Federation. PGUPS - St. Petersburg, 13-26.
Fedorina A., Tsyganov A., (2015), An integrated approach to the introduction of piggyback transportation in Russia, Modern problems of the transport complex of Russia. 2015. №. 1(6). pp. 21-28.
Popov V., Sukhov P., Bolandova J. (2020), Safe Train Route Options, Advances in Intelligent Systems and Computing. – Springer Nature Switzerland AG, Vol. 1116.-Pp. - 899-908.
Rakhmangulov A.N., Baginova V.V., Mishkurov P.N. (2012), Methodology for assessing the organizational structure of the operational management of car traffic on railway industrial transport, Transport: science, technology, management, 2, 19-22.
Rezer, A., (2005), Economic management of logistics services, Railway transport, 8, 56-60.
Sirazetdinov, O., (2004), Formation of a transport and logistics service for the delivery of products from enterprises to consumers, Vestnik VGAVT. Issue II. Economics and management in transport. N. Novgorod, 20-24.
State Committee of the Republic of Uzbekistan on Statistics, URL: https://stat.uz/ru/ofitsialnaya-statistika/national-accounts access date 12.12.2022.
Diomin Y.V. & Diomin R.Y. (2013), Procedural issues acceptance of rolling stock gauge 1435/1520 mm, Prace Naukowe Politechniki.
Shukhrat Saidivaliev, Samandar Sattorov and Diyora Juraeva. Assessment of the movement of the car along the sorting slide with a tailwind in the context of environmental health. E3S Web Conf., 371 (2023) 04033. DOI: https://doi.org/10.1051/e3sconf/202337104033.
