INNOVATIVE BUSINESS MODELS AND INTEGRATION MECHANISMS IN PASSENGER TRANSPORTATION ORGANIZATION
DOI:
https://doi.org/10.5281/zenodo.19452821Keywords:
digital transformation, passenger transportation systems, innovative business models, four-link innovation spiral model, institutional integration, Mobility as a Service (MaaS), multimodal transport, digital platforms, sharing economy, GPS technologies, Internet technologies, digital aggregators, Yandex Taxi, transport service transformation, competitive environment, efficient resource use, service qualityAbstract
This paper analyzes innovative business models for managing passenger transportation systems in the context
of digital transformation. The study examines the “four-link innovation spiral” model proposed by M. A. Yurevich as a
conceptual framework for innovation development, emphasizing the importance of institutional integration among society,
business, and the state. Additionally, within the framework of the “Mobility as a Service” (MaaS) concept, the study
explores the integration of various transport modes into a single digital platform and the improvement of multimodal
transport service efficiency. The transformation of traditional transport services is demonstrated through the example
of the sharing economy, driven by the development of Internet technologies and GPS systems, as well as the activities
of digital aggregators such as Uber, Lyft, and Yandex Taxi. The research findings indicate that digital platforms not only
enhance service quality but also create a new competitive environment in the transport market and ensure the efficient
use of resources.
References
Alonso, B., Barreda, R., Dell’Olio, L., & Ibeas, A. (2018). Modelling user perception of taxi service quality. Transport
Policy, 63, 157–164.
Edelman, B., & Geradin, D. (2016). Efficiencies and regulatory shortcuts: How should we regulate companies like
Airbnb and Uber? Stanford Technology Law Review, 19(2), 293–328.
Hietanen, S. (2014). Mobility as a Service — the new transport model. Eurotransport, 12(2), 2–4.
Hatzopoulos, V. (2018). The collaborative economy and EU law. Hart Publishing.
Mironova, Y. (2020). Research of geoinformation systems in the classroom on the subject “Information Technology”.
ANIP, 9(3). https://doi.org/10.26140/anip-2020-0903-0039
Sochor, J., Arby, H., Karlsson, I. M., & Sarasini, S. (2018). A topological framework for the Mobility-as-a-Service
ecosystem. Research in Transportation Business & Management, 27, 3–14.
Rosenblat, A., & Stark, L. (2016). Algorithmic labor and information asymmetries: A case study of Uber’s drivers.
International Journal of Communication, 10, 3758–3784.
Shevgunov, T. Ya., Vavilova, Z. A., Kravchenko, T. K., & Levchenko, L. L. (2022). Development of a rating system
assessing the quality of services provided by drivers in a taxi aggregator company. Business Informatics, 16(4), 68–81.
Bushuev, M. V., Krasitskaya, S. I., & Fedorova, N. V. (2015). The GLONASS system and its application in the Yandex.
Traffic service. Current Problems of Aviation and Astronautics, 11.
Girich, M. G., & Saule, A. (2020). The influence of international standards on regulating national taxi aggregator
markets. International Trade and Trade Policy, 6(2), 146–161.
Kuchumov, I. V. (2023). Software testing and mathematical models for detecting errors in software systems. Proceedings
of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 6(116), 74–82.
Lyutov, N. L. (2022). Platform employment: The draft new EU directive and the norms of Russia and Kazakhstan. Law,
(10), 72–81. https://doi.org/10.37239/0869-4400-2022-19-10-72-81
Mironova, A. V. (2015). The transport problem and its solution in megacities: A comparative analysis of Moscow and
New York. Bulletin of Peoples’ Friendship University of Russia. Series: History of Russia, (1), 91–101.
Yurevich, M. A. (2019). New institutional initiatives of Russia in the context of the four-link innovation spiral concept.
Journal of Institutional Studies, 11(2), 79–93.
