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Subject. This article analyzes the capacity and cargo turnover of the European and Ural Arctic seaports. Objectives. The article aims to develop scenarios for the development of seaports of the European and Ural Arctic, which will help predict their cargo turnover and determine opportunities for capacity growth. Methods. For the study, we used statistical, systems, and comparative analyses. Results. Based on the analysis of the current capacities and cargo turnover of the European and Ural Arctic seaports, the article develops polynomial regression models to obtain forecast values for the ports of Murmansk and Sabetta for 2022. It identifies factors that may adversely affect the development of the port infrastructure of the Arctic basin, and presents four scenarios for the development of the port infrastructure of the region, taking into account the proposed projects to increase the capacities of the European and Ural Arctic seaports. Conclusions. Given the improvement of Russia's security and the strengthening of transport links with the Asia-Pacific region through the Northern Sea Route, the construction of a seaport in Indiga Bay and a railway to it from Sosnogorsk is the most important project.
Subject. This article analyzes the capacity and cargo turnover of the European and Ural Arctic seaports. Objectives. The article aims to develop scenarios for the development of seaports of the European and Ural Arctic, which will help predict their cargo turnover and determine opportunities for capacity growth. Methods. For the study, we used statistical, systems, and comparative analyses. Results. Based on the analysis of the current capacities and cargo turnover of the European and Ural Arctic seaports, the article develops polynomial regression models to obtain forecast values for the ports of Murmansk and Sabetta for 2022. It identifies factors that may adversely affect the development of the port infrastructure of the Arctic basin, and presents four scenarios for the development of the port infrastructure of the region, taking into account the proposed projects to increase the capacities of the European and Ural Arctic seaports. Conclusions. Given the improvement of Russia's security and the strengthening of transport links with the Asia-Pacific region through the Northern Sea Route, the construction of a seaport in Indiga Bay and a railway to it from Sosnogorsk is the most important project.
The objective of the work is to study methods for forecasting transport systems development and determine their suitability under economic instability conditions.The modern methodology for forecasting the development of regional transport systems includes expert and formal methods, methods of active and passive forecasting.The use of expert systems, scenario forecasting and strategic planning can be mentioned as promising areas.Scenario planning is more adapted to non-linear transformations in the economy than traditional linear planning. In traditional planning, the past explains the present, in scenario planning, the future is the meaning of the present, the future is created.The variety and instability of statistical indicators encourages creation of hybrid systems of forecasting models. They are based on regression models, as well as on intelligent models, including artificial neural networks, analytical networks, etc., which are complemented by scenario forecasting.The identification of the main factors that determine the functioning of the transport network of the European and Ural Arctic facilitated the choice of methods for forecasting its development. The main factors negatively affecting the development of the transport network of the region under the study are the insufficiency of freight flows in the ports; insufficient capacity of seaports’ access roads; political, social, natural-climatic, and other risks.The example of the Northern Sea Route (NSR) illustrates the use of a hybrid system of forecasting models to obtain possible values of traffic volumes. Based on the analysis of regression models and the study of the possibility of achieving the target traffic volume by 2024, it was concluded that this model is basically acceptable for forecasting the volume of goods transported along the NSR.
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