Assisting the Austrian flat rate "Klimaticket" do precise fare allocation

A bold initiative, the Austrian Klimaticket offers citizens an affordable, single ticket for nearly all public transport across the nation. The project aims to make sustainable travel more accessible and attractive, contributing significantly to Austria's climate goals. However, a key challenge emerged: how to fairly and accurately distribute revenue among the numerous participating transport operators.

The Challenge: Ensuring equitable revenue for a unified national network

The Klimaticket represents a paradigm shift in public transport, unifying countless regional and national operators under one simple fare product. While immensely beneficial for passengers, this model presented a complex revenue allocation puzzle. With a single ticket price, it became crucial to understand actual passenger journeys across different operators and transport modes to ensure each provider was compensated fairly for their services.

Key questions included:

• How can revenue be distributed transparently and accurately among diverse transport operators (rail, bus, tram) based on real usage?
• How can the system avoid disputes and ensure trust among all stakeholders?
• How can administrative overhead for tracking and allocating revenue be minimized for such a large-scale project?
• How can the collected travel data provide insights for future service optimization across the network?

The Solution: motiontag's fare revenue distribution

Klimaticket partnered with motiontag to implement a cutting-edge, data-driven solution for fare revenue distribution. motiontag's advanced mobility analytics platform utilizes anonymized and aggregated data to accurately identify travel patterns, modes of transport used, and the specific operators involved in each leg of a Klimaticket holder's journey.

By leveraging sophisticated algorithms and machine learning, motiontag provides Klimaticket with:

• Precise journey detection: Automatically and accurately identifying complete, multi-modal journeys.
• Operator attribution: Correctly assigning travel segments to the respective transport providers.
• Automated reporting: Generating clear, auditable reports for transparent revenue sharing.
• Data-rich insights: Offering a comprehensive understanding of how the Klimaticket is being used across Austria.

 

The Outcome: Fair distribution, enhanced efficiency, and future-ready insights

The collaboration with motiontag has empowered Klimaticket to establish a fair, transparent, and efficient system for managing revenue allocation across its vast network of transport partners.

Key benefits include:

• Equitable revenue sharing: Ensuring all participating transport operators are compensated accurately based on proven ridership, fostering strong partnerships.
• Reduced administrative burden: Automating complex allocation processes, saving time and resources previously spent on manual calculations and reconciliations.
• Increased transparency & trust: Providing all stakeholders with clear, data-backed evidence for revenue distribution, minimizing potential conflicts.
• Data-driven network planning: Unlocking valuable insights into travel behavior, enabling data-informed decisions for optimizing routes, schedules, and overall service provision to better meet passenger needs.
• Supporting a national vision: Reinforcing the success and sustainability of the Klimaticket by ensuring its financial framework is robust and fair.

Motiontag’s advanced mobility tracking technology provides high-precision, automated detection of 12 travel modes, ensuring 97%-accurate and reliable data collection without user input. This information is crucial in the fare allocation aspect of the Klimaticket initiative.

With motiontag’s data collection methodology, the Klimaticket initiative is equipped to correctly allocate present and  future budgets to sections of the network that bare a significant part of the passengers and ensure those are getting the required infrastructure investments needed towards Austria's sustainability goals.