DEVELOPMENT OF A PRICING MODEL FOR PIGGYBACK TRANSPORTATION IN THE RAILWAY TRANSPORT SYSTEM OF UZBEKISTAN
Abstract and keywords
Abstract (English):
Purpose: In the context of globalization and increased competition in international transport markets, the development of an efficient logistics infrastructure is becoming a priority task for many countries including the Republic of Uzbekistan. The importance of this study lies in its potential to enhance the competitiveness of the national railway system and to integrate it into international transport and logistics chains. This article considers the development of a rational and economically justified tariff model for piggyback traffic within Uzbekistan’s railway system. It identifies this as a promising direction for freight transportation development. Methods: The study applies the latest information technologies, regulatory framework analysis and data obtained through automated transport management systems. The methodology is based on economic and mathematical models that enable the calculation of piggyback transportation costs and a comparative analysis of the effectiveness of different tariff approaches. The analysis employed Wald, Laplace and Savage criteria. This paper presents a constructed tariff grid and a comparative analysis of the cost and delivery time of goods along the Tashkent — Bukhara route when using different modes of transport. Results: The study results have demonstrated the advantages of piggyback transportation, including reduced delivery time and lower logistics costs. The key risks associated with the implementation of the new tariff model have been identified, and specific measures to minimize these risks have been proposed. Practical significance: This research will contribute to the development of a strategy for the advancement of Uzbekistan’s railway transport sector until 2035, with the objective of enhancing the efficiency and sustainability of the industry.

Keywords:
Piggyback traffic, tariff model, railway transport, logistics, economic and mathematical modelling
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References

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