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 best way to install GrowBikeNet is using conda (or the faster mamba) via the conda-forge channel:
conda install -c conda-forge growbikenet
For more installation options, see our Installation docs.
We provide a minimum working example in two formats:
- Python script (examples/mwe.py)
- Jupyter notebook (examples/mwe.ipynb)
For a walkthrough with illustrative examples, see our Usage docs.
Find more information in our docs: https://bikenetkit.github.io/GrowBikeNet/
Development of BikeNetKit/GrowBikeNet was supported by the Innovation Fund Denmark, the EU HORIZON project JUST STREETS, and the Data Science Section of IT University of Copenhagen.
