Calculation of indicators of volumes and structure of cargo transportation by rail within the boundaries of the North-West polygon of JSC Russian Railways in the context of shifting supply chains

Abstract. Recent changes in supply chains have significantly changed the structure and volume of rail freight transportation. Aim. To adjust the calculation methods for freight transportation volumes and structure, considering railway throughput and carrying capacity. Methods. They study utilized dynamic analysis of statistical data, an algorithm for determining the conditional cargo density in the transport and logistics complexes, and regional rail transportation forecasting until 2025. Results. Key indicators such as “freight turnover,” “volume of freight transportation,” and “freight flow structure” were re-evaluated, incorporating the impact of “railway throughput and carrying capacity.” These findings are crucial for the planning and design of new rail infrastructure. The planned volumes of transportation and transshipment of the main types of cargo at port stations for the period 2024-2025 have been clarified, which makes it possible to increase the reliability of decisions made on the development of the railway infrastructure of the October Railway polygon, including approaches to sea ports and the North-South international transport corridor.

Authors

Institutions

Publication Details

Journal
Modern Transportation Systems and Technologies
Published
2024-12-27
DOI
https://doi.org/10.17816/transsyst641656
Citations
1
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Calculation of indicators of volumes and structure of cargo transportation by rail within the boundaries of the North-West polygon of JSC Russian Railways in the context of shifting supply chains

Natalia Zhuravleva, Ekaterina V. Novikova, Tatyana A. Kryukova
1 citations
Modern Transportation Systems and Technologies
Transport and Logistics Innovations
0.35
article

Calculation of indicators of volumes and structure of cargo transportation by rail within the boundaries of the North-West polygon of JSC Russian Railways in the context of shifting supply chains

Natalia Zhuravleva, Ekaterina V. Novikova, Tatyana A. Kryukova
article en
1 citations

Abstract

Abstract. Recent changes in supply chains have significantly changed the structure and volume of rail freight transportation. Aim. To adjust the calculation methods for freight transportation volumes and structure, considering railway throughput and carrying capacity. Methods. They study utilized dynamic analysis of statistical data, an algorithm for determining the conditional cargo density in the transport and logistics complexes, and regional rail transportation forecasting until 2025. Results. Key indicators such as “freight turnover,” “volume of freight transportation,” and “freight flow structure” were re-evaluated, incorporating the impact of “railway throughput and carrying capacity.” These findings are crucial for the planning and design of new rail infrastructure. The planned volumes of transportation and transshipment of the main types of cargo at port stations for the period 2024-2025 have been clarified, which makes it possible to increase the reliability of decisions made on the development of the railway infrastructure of the October Railway polygon, including approaches to sea ports and the North-South international transport corridor.

Modern Transportation Systems and TechnologiesVol. 10(4)
Petersburg State Transport University (RU)
Openalex Percentile: Top 32%
Transport and Logistics Innovations
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.