E3S Web Conf.
Volume 220, 2020Sustainable Energy Systems: Innovative Perspectives (SES-2020)
|Number of page(s)||4|
|Published online||16 December 2020|
Economic assessment of the implementation of distributed data registry platforms in multimodal transport
Department of transport Economics, Emperor Alexander I Petersburg State Transport University 190031 9, Moskovskiy prospect, St. Petersburg, Russia
* Corresponding author: email@example.com
Task: to develop a concept for implementing distributed Ledger technologies (blockchain) in passenger railway transport and to justify the approach to evaluating the effectiveness of these technologies. Methods: content analysis of special industry research, analysis of specialized statistical reporting on the use of digital systems and technologies, survey, mathematical modeling, and others. Result. The author analyzes the trends of the multimodal passenger transport market, in particular the European segment. It is established that due to the significant development of multimodality in passenger transport, transport organizations will be able to meet modern customer requests mainly when switching to network technologies, mainly to digital systems of distributed transaction data registry. The concept of passenger blockchain in transport is proposed: its functionality, platform composition, digital modules, additional services for passengers. The effects resulting from the introduction of blockchain in passenger transportation are systematized, the sources of their occurrence, and their quantitative assessment for the passenger railway complex of Russia is given. Practical significance: the results of the study deepen methodological developments in the field of economic evaluation of investment projects for the introduction of digitalization technologies. They are in demand by managers of transport companies, development specialists, and analysts who evaluate digital technologies.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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