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The SprottenFlotte in Kiel, Germany

Smart Bike System, Kiel, Germany

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The SprottenFlotte in Kiel, Germany
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The KielRegion in collaboration with the Heinrich Böll Stiftung Schleswig-Holstein, the German Aerospace Center (DLR), aconium and the University of Oldenburg is developing a data strategy and data governance for the existing regional Data Hub around mobility and transport data, with the focus on fan mobility.

The infrastructure is already present and quite advanced in its range of public data. The partners will further include public and private stakeholders such as local administrations as well as transport companies, functioning as data providers and data users. 

 

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The German Pilot partners

 

What is the challenge?

The Data for All partners are facing the following challenges:

What will the pilot be about?

The pilot partners agreed on a specific use case in the city and region of Kiel to advance regional fan mobility. This use case focuses on the mobility surrounding the local football stadium of Holstein Kiel, a key venue that attracts significant crowds from across the state of Schleswig-Holstein. The stadium's central role as a major transportation hub made it a compelling choice for piloting data-driven mobility solutions, as it significantly impacts mobility patterns within the city and the broader region. 

One of the most practical applications of the Smart Bike System in Kiel is improving the logistics management of the regional rental bike system. Rental bikes play a crucial role in promoting sustainable urban mobility, but their effectiveness depends on ensuring that bikes are available where and when users need them. By leveraging AI-driven demand prediction models, the project aims to optimize the placement of rental bikes across stations, reducing bottle-necks and enhancing user satisfaction. 

To achieve this, the pilot team continues to define new, more practically-oriented use cases. Discussions are also underway about conducting a comprehensive needs analysis for Kiel’s rental bike system. Such an analysis would provide valuable insights into user behaviour, operational challenges, and opportunities for service improvement. The goal is to create a smarter, more responsive bike-sharing system that aligns with the city’s broader mobility objectives.

Participating partners