Hi everyone! We just released a large European (e-)bike-sharing dataset and thought people here might find it useful.
What’s inside:
- ~25M bike trips
- ~38M station status snapshots
- ~13k stations
- 267 cities across Europe
- bike type information (e-bike vs classic)
- geographic coordinates (WGS-84)
- timestamps in UTC Unix seconds
The dataset combines trip-level data and high-frequency station snapshots, so it’s useful for things like:
- demand prediction
- fleet balancing / rebalancing research
- urban mobility analysis
- sustainability studies
- infrastructure planning
We originally compiled the dataset for a research paper:
“Data-Driven Insights into (E-)Bike-Sharing: Mining a Large-Scale Dataset on Usage and Urban Characteristics – Descriptive Analysis and Performance Modeling” (Waldner et al., 2025, Transportation).
License: CC BY-NC 4.0
Link to dataset: https://huggingface.co/datasets/PellelNitram/european-bike-sharing-dataset
Happy to answer questions! 🙂
submitted by /u/martin_lellep
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