The Python package fixbikenet identifies the most important gaps to fill in a city's bicycle network.
The software downloads and pre-processes data from OpenStreetMap, identifies the gaps, saves the results, creates plots and videos. The source code builds on the code from the research paper Automated Detection of Missing Links in Bicycle Networks.
Publication: https://doi.org/10.1111/gean.12324
The currently default way to install FixBikeNet is using pip:
pip install fixbikenet
If this does not work, consult our installation docs.
See our installation docs for details.
We provide a minimum working example in two formats:
- Python script (examples/mwe.py)
- Jupyter notebook (examples/mwe.ipynb)
Find more information in our docs: https://bikenetkit.github.io/FixBikeNet/
Development of BikeNetKit/FixBikeNet was supported by the Innovation Fund Denmark and the EU HORIZON project JUST STREETS.
