SYSTEM OF DIGITAL TRANSFORMATION INDICATORS IN TRANSPORT SECTOR

  • Olena Nykyforuk Ukraine, Kiev, Institute for Economics and Forecasting, National Academy of Sciences of Ukraine
  • Olga Stasyuk Ukraine, Kiev, Institute for Economics and Forecasting, National Academy of Sciences of Ukraine
  • Larysa Chmyrova Ukraine, Kiev, Institute for Economics and Forecasting, National Academy of Sciences of Ukraine
  • Natalia Fedyaj Ukraine, Kiev, Institute for Economics and Forecasting, National Academy of Sciences of Ukraine
Keywords: digital transformation, intelligent transport system, system of indicators for developments in the intelligent transport systems

Abstract

The review of existing approaches to determining the systems that describe both the processes of economic sectors digitalisation and the ITS introduction in transport sector has underpinned the development and presentation of this approach to determining the digital transformation indicators in transport sector. Current stage of digital technology development is calling for defining and grouping the blocks, systems, subsystems filling them with appropriate indicators. The approach proposed defines the functional architecture of the digital transformations comprised of 3 blocks, 5 key systems of indicators and 18 subsystems representing both modern and envisaged transformation processes for digitalisation in transport with the view of ensuring their success in the future. This Article establishes and selects transport sector digital transformation indicators enabling the monitoring of transformation developments, holding assessments of digital transformations in progress that would constitute a basis for decision-making on ensuring the success for digital transformations in the transport industry.

References

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Published
2019-07-31
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How to Cite
Olena Nykyforuk, Olga Stasyuk, Larysa Chmyrova, & Natalia Fedyaj. (2019). SYSTEM OF DIGITAL TRANSFORMATION INDICATORS IN TRANSPORT SECTOR. European Journal of Intelligent Transportation Systems, (1(2), 3-12. https://doi.org/10.31435/rsglobal_ejits/31072019/6576