Economic and managerial foundations of digital transformation in the transport sector: system analysis of intelligent transportation systems implementation in Russia

A comprehensive economic and managerial analysis of the process of digital transformation of the Russian transport industry has been carried out using the example of implementing intelligent transport systems. The economic conditionality of transition from an extensive model of physical infrastructure development to an intensive one based on management processes intellectualization has been substantiated. The analysis of the intelligent transport system technological landscape has been carried out, in which technologies have been classified according to levels of readiness and economic purpose in the value chain: from data collection to control actions implementation. It has been established that the maximum socio-economic effect is achieved not through individual technologies implementation, but through integrated, synergetic systems creation. The methodology used in Russia for evaluating intelligent transport system projects based on extended net present value (ENPV), which allows key externalities monetization, has been considered. It has been revealed that the main barrier to increasing the level of intelligent transport system maturity lies not in the technological, but in the institutional and regulatory plane. The key constraints identified are institutional fragmentation, terminological and standard ambiguity, as well as a lack of specialized competencies. Practical recommendations aimed at overcoming the identified barriers have been formulated, including the need to develop a unified national intelligent transport system architecture, harmonize standards, and form competence centers.

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