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The Urban Mobility Flows (UMF) platform is designed to unlock an important capability for transport agencies, city councils and transport operators. It delivers visual insights into journey patterns across multiple public and private modes of urban transport on a single dashboard. The aim of this analysis is to reveal discrepancies between infrastructure, service design, business models and actual travel habits, and to help determine goals for service optimisation. By improving transport offerings in ways that drive adoption of new habits that are aligned with sustainability goals, cities will be able to further extend the relative market share of public transport, reduce private car journeys and improve active travel habits for its citizens.
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The goal of this project is to deploy a commercial solution in two cities that delivers valuable data insights to transport agencies, city councils and transport operators.
The UMF platform tackles the lack of comprehensive data insights into journey patterns that represent the complete modal share of city.
The UMF platform is a cutting-edge big data analytics solution that uses anonymous telco data to determine aggregated journey flows across multiple transport modes.
The project successfully deployed the UMF platform in Sofia, Debrecen, and Ajka, mapping origin-destination flows and identifying public transport gaps. It generated actionable insights, enabling cities to look at their current schedules and public transport operations in more detail. Long term, this should open the conversation introduction of new transport solutions in underserved areas.
The project delivered three collaborative workshops, engaging over 15 stakeholders to align data insights with urban mobility needs and build local expertise. Partnerships with telecom providers facilitated data sharing agreements, enabling anonymised telco data to inform mobility analysis. There is still work to be done on this front due to data privacy concerns but the UMF demonstrates the potential that can be unlocked through this data.
A key outcome was the development of a comprehensive Use Case Roadmap for Small Cities, demonstrating the platform’s scalability and adaptability for municipalities under 50,000 residents. This roadmap highlighted tailored solutions for smaller cities, such as optimising suburban and industrial connectivity. These initiatives set the foundation for data-driven, sustainable urban transport systems tailored to diverse city scales and contexts.
Hristo Popov
hpopov@theoremus.com
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