Bike Net Kit / Grow Bike Net

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The Python package growbikenet grows an urban bicycle network from scratch or from an existing bicycle network. You can download street and bike network data with a single line of code, simulate different bicycle network growth scenarios, and export and plot the resulting prioritized growth steps.

GrowBikeNet is a decision support tool for urban planners based on the Dutch CROW Design manual for bicycle traffic. It is also useful for proactive citizens to create a compelling vision for urban cycling in their city, and it aims to foster research on bicycle networks. GrowBikeNet is fully customizable and data-driven allowing to explore different scenarios - for example, you can import custom data sets such as points of interest or limit network development to specific streets to adapt the software to your local needs.

Installation

The easy way

The recommended way to install GrowBikeNet is using conda (or the faster mamba) via the conda-forge channel:

conda install growbikenet -c conda-forge

Advanced and development installations

For more installation options, see our Installation docs.

Usage

We provide a minimum working example in two formats:

For a walkthrough with illustrative examples, see our Usage docs.

Docs

Find more information in our docs: https://docs.bikenetkit.org/GrowBikeNet/

Source

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

How to cite

If you use GrowBikeNet in your research, please cite the primary paper:

M. Szell, S. Mimar, T. Perlman, G. Ghoshal, R. Sinatra. Growing urban bicycle networks. Scientific Reports 12, 6765 (2022).
DOI: 10.1038/s41598-022-10783-y

Supported by

Development of BikeNetKit/GrowBikeNet is supported by the Innovation Fund Denmark, the EU HORIZON project JUST STREETS, and the Data Science Section of IT University of Copenhagen.

Innovation Fund Denmark    European Union   JUST STREETS

Project links

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  • Released:
Newer release available (0.14.1)

2 maintainers

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Avatar for Manuel_Knepper from gravatar.com Manuel_Knepper Avatar for mszell from gravatar.com mszell

Credits

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Author/Maintainer: Manuel Knepper, Anastassia Vybornova

GitHub Statistics

Data verified by PyPI on Aug 5, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

AGPL-3.0-or-later
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Requires

Python >=3.12

Provides Extra

test doc

Tags

Bicycle network planning Networks OpenStreetMap Urban Planning Urban Mobility

Classifiers

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