Methods to Forecast Transport Systems Development under Modern Conditions

• Published in: World of Transport and Transportation
• Main Authors: A. N. Kiselenko, E. Yu. Sundukov, N. A. Tarabukina, А. Н. Киселенко, Е. Ю. Сундуков, Н. А. Тарабукина
• Format: Article in Journal/Newspaper
• Language: Russian; English
• Published: Russian University of Transport (RUT) 2023
• Subjects: гибридные модели прогнозирования; forecasting methods; European and Ural Arctic; regression models; intelligent models; scenario forecasting; hybrid forecasting models; методы прогнозирования; Европейская и Приуральская Арктика; регрессионные модели; интеллектуальные модели; сценарное прогнозирование; Arctic; Northern Sea Route; Арктика
• Online Access: https://mirtr.elpub.ru/jour/article/view/2294; https://doi.org/10.30932/1992-3252-2022-20-3-5

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. Целью работы является исследование методов прогнозирования развития транспортных систем и определение их пригодности в условиях нестабильности экономики.Современная методология прогнозирования развития ...