BikeDNA: Bicycle Infrastructure Data & Network Assessment

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap

Bicycle Master Plan is a bike map that allows visualizing cycling related data from different sources in multiple layers. Built heavily around data from OpenStreetMap, it allows full visual customization using CSS.

Where to build new bicycle parking spots in Paris? Supporting data-driven decision making with open data

OSM-based map with bike-specific visual hierarchies

Trassenscout (beta) supports administrations in the process of evaluating and building cycle highways and other route based infrastructure.

Sustainable Transportation Planner for Python

BikeNetKit Python package to detect gaps in developed bicycle networks

https://trivisonno.github.io/cycleway-stats/map.html

BikeNetKit Python package to grow urban bicycle networks

UWP app to control Bontrager RT lights

Bicycle road signs generator for Slovakia. Supports IS 40a, IS 40b, IS 40c, IS 40d, IS 40f, IS 40g, IS 40h navigation road signs.

Interactive map with user-contributed hazards for cyclists, such as dangerous intersections, unsafe or missing cycle lanes, parking cars.

Code for analyzing the results from running BikeDNA BIG (https://github.com/anerv/BikeDNA_BIG) on bicycle infrastructure data from Denmark.

Classify OpenStreetMap (OSM) ways by Level of Traffic Stress (LTS 1–4) using the Furth methodology. Pure Python, zero deps.

BikeNetKit auxiliary data and export scripts for the visualization platform

Bike lanes are for 🚲and not for 🚘

Source code for the scientific paper analyzing the Danish bicycle node network

BikeNetKit Python core utility package