The Python package growbikenet grows an urban bicycle network from scratch or from an existing bicycle network.
The software downloads and pre-processes data from OpenStreetMap, prepares seed points to connect, runs simulations, saves the results, creates plots and videos. The source code builds on the code from the research paper Growing Urban Bicycle Networks and on the code from the research paper Data-driven micromobility network planning for demand and safety.
Publication (primary): https://doi.org/10.1038/s41598-022-10783-y
Publication (secondary): https://doi.org/10.1177/23998083221135611
The currently default way to install GrowBikeNet is using pip:
pip install growbikenet
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/GrowBikeNet/
Development of BikeNetKit/GrowBikeNet was supported by the Innovation Fund Denmark and the EU HORIZON grant JUST STREETS.
