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Innovative Car Sharing Service Management Solution
Published on 12 March 2021
Lithuania
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About this good practice
CityBee is one of the biggest mobility service providers in CEE. Currently, the company has over 1300 cars, 150 microbuses, 300 bikes and 2000 electronic scooters. Using the company’s mobile app, customers can order and use the desired mean of transportation.
The company implemented an R&D project with the goal to provide new services. As a result, algorithms for transport peak prediction, rental vehicles flow forecasting, automatic selection of flow management actions, as well as dynamic pricing models (performed customer segmentation) according to the customer’s driving habits have been developed.
In order to implement its project, the company used state financial support “Intelektas. Bendri mokslo-verslo projektai” under the Lithuanian Operational Programme. As this financial instrument supports science and business cooperation, CityBee worked with Vilnius Gediminas Technical University, which helped to analyse historical data on city cars and public transport flows and travels by CityBee users. The company itself didn’t have the know-how to analyse this data and the university helped with their experience and required knowledge.
The company implemented an R&D project with the goal to provide new services. As a result, algorithms for transport peak prediction, rental vehicles flow forecasting, automatic selection of flow management actions, as well as dynamic pricing models (performed customer segmentation) according to the customer’s driving habits have been developed.
In order to implement its project, the company used state financial support “Intelektas. Bendri mokslo-verslo projektai” under the Lithuanian Operational Programme. As this financial instrument supports science and business cooperation, CityBee worked with Vilnius Gediminas Technical University, which helped to analyse historical data on city cars and public transport flows and travels by CityBee users. The company itself didn’t have the know-how to analyse this data and the university helped with their experience and required knowledge.
Resources needed
The total value of the project is 828 605,59 EUR of which 462 262,65 EUR is funded from ERDF.
Evidence of success
Performed R&D activities and obtained results allowed the company to improve its services. Based on the prediction and forecasting models, the company adjusted its network of vehicle drop-off stations. The models developed as a result of the project, by integrating dynamic pricing and transportation functions, help to make more efficient use of the existing car fleet, thus benefiting consumers, the city and the company itself.
Potential for learning or transfer
This good practice has the potential to be interesting for other regions due to several reasons. First of all, this GP is an example of MaaS, which is becoming a world wide trend. Realising that the number of travelling people using their own personal vehicles is growing, traffic jams, air pollution, traffic accidents, lack of parking spaces and other issue are becoming more important. CityBee and its activities, including this project, are dedicated to provide vehicle sharing services that respond to these challenges. Second, this is an example of science-business cooperation and how it can benefit further business development.
Further information
Website
Good practice owner
You can contact the good practice owner below for more detailed information.
Organisation
CityBee
Lithuania
Contact
Expert