Technology
Embedded technology entities and systems related to transport planning and anonymous user journeys tracking such as Machine Learning, Data Science and Artificial Intelligence contributing to decision-making process
Business
Attracting new Public Transport Bus System users creates an expansion of both the financial footprint (eg. Increase of user journeys) and business entities involved with the BTBS
Finance
Optimal resource allocation regarding the transport planning methods through significant economies of scale both on the provider and the society, reducing the reckless use of competing modes of transport such as private cars and the negative economies accompanying them
Research
Automated monitoring, analysis and evaluation process and standards development for massive data analysis and decision-making process
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Structure
Development of a dynamic technological data platform for the Public Transport Bus System (BTBS), which will require specialized skills for further utilization
Planning
Essential and long-term problem solving in both high-level and operational strategy
Society
New human-oriented approach through a holistic tracking of BTBS users’ needs and requirements
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