Introduction. The development of the country’s transit potential and spatial connectivity, as well as the implementation of breakthrough projects in railway, road, maritime (river) and air transportation, depends on effective forecasting and planning of staffing costs for transport enterprises and organisations, and on the assessment of risks affecting the achievement of development goals.
The aim is to identify the main development trends of transport-sector universities in order to form scenario conditions and the key parameters for forecasting the development of sectoral personnel training.
Methods. Quantitative research using proprietary digital platform solutions, expert evaluation, verification and validation of data, comparison and correlation, and mathematical modelling.
Results. It has been found that analysing the scale and structure of staff training, as well as changes in the nomenclature of higher and secondary vocational education programmes, makes it possible to assess the development trends of the personnel training system for the Russian transport sector and to identify problem areas for subsequent optimisation processes.
Scientific novelty. A statistical basis has been established enabling comprehensive analysis of personnel training for transport enterprises, and an industry-specific model for collecting, processing and analysing data on the personnel training system for the Russian transport sector has been proposed.
Practical significance. The results can be used to develop programmes for optimising the network of educational organisations subordinate to the Ministry of Transport of the Russian Federation.