FixBikeNet 0.8.1 documentation¶

The Python package fixbikenet identifies the most important gaps to fill in a city’s bicycle network. You can download street and bike network data with a single line of code, simulate different bicycle network fixing scenarios, and export and plot the resulting prioritized gaps. It is hosted on Github, part of BikeNetKit.

FixBikeNet is a decision support tool for urban planners. It is also useful for proactive citizens to help inform their city about data-driven improvements, and it aims to foster research on bicycle networks.

When to use¶

FixBikeNet works well for cities or areas that have a well developed -but not yet perfect- bicycle network. Recommended example cities to fix: Aalborg, Amsterdam, Copenhagen

For alternative approaches, or for cities with less developed bicycle networks, consider using LinkBikeNet or extending the existing network with GrowBikeNet.

Setup and use¶

To set up FixBikeNet, see the Installation page. To use FixBikeNet, the Getting started page is a good place to start, which also explains how the package works in detail. For technical documentation, consult the User reference.

Source¶

The source code builds on the code from the research paper Automated Detection of Missing Links in Bicycle Networks.

How to cite¶

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

Vybornova, T. Cunha, A. Gühnemann, M. Szell. Automated Detection of Missing Links in Bicycle Networks. Geographical Analysis 55(2), 239-267 (2023)

Contributing¶

If you want to contribute to the development of FixBikeNet, please read the CONTRIBUTING.md file.

Supported by¶

Development of BikeNetKit/FixBikeNet was supported by the Innovation Fund Denmark and the EU HORIZON grant JUST STREETS.