Models of economics behind data-based services in vehicle fleets
Osipov, Roman (2018)
Diplomityö
Osipov, Roman
2018
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2018052524710
https://urn.fi/URN:NBN:fi-fe2018052524710
Tiivistelmä
Together with modern data-based technologies invention and development the world of transport businesses changes. Modern cars are becoming more and more sophisticated in regard to their equipment with wireless communication technologies, data trackers, geolocation systems, etc. Quite clear, that in case of private use of a single vehicle these devices are just providing assistance to a driver, whereas in case of a fleet business they can generate a plenty of opportunities for cost reduction based on better services, optimization or operations and management, elimination of unexpected expenses, risks, etc. Data collection and analysis in vehicle fleets is a key component and the main mean of the future fleet business operations.
The main research method includes two directions. The first one is searching for already existing economical models in vehicle fleets from different literature sources available, including scientific databases and specialized Internet pages. The second direction is elaboration of own possible cost reduction ways in vehicle fleets and supporting their feasibility via literature.
The main results of the investigation made include identification of the main directions of vehicle fleet businesses improvement. They are concentrated around three main possibilities for fleet businesses: automation of services and internal activities, dynamics in operations, planning and management and involvement of non-typical actors to fleet business value development.
The main research method includes two directions. The first one is searching for already existing economical models in vehicle fleets from different literature sources available, including scientific databases and specialized Internet pages. The second direction is elaboration of own possible cost reduction ways in vehicle fleets and supporting their feasibility via literature.
The main results of the investigation made include identification of the main directions of vehicle fleet businesses improvement. They are concentrated around three main possibilities for fleet businesses: automation of services and internal activities, dynamics in operations, planning and management and involvement of non-typical actors to fleet business value development.