BikeDNA: Bicycle Infrastructure Data & Network Assessment

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.

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap

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

Sustainable Transportation Planner for Python

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

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

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.

Bike lanes are for 🚲and not for 🚘

Bicycle node network loop analysis

Code repository for creating a routable bicycle network from OSM data for all of Denmark classified into levels of traffic stress.

Python code to classify roads and paths based on highway tags present in OpenStreetMap

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

Generates bicycle infrastructure listing and report for a given area from OSM data

Bicycle infrastructure in Homiel (Bielaruś). The map and statistics https://qqq3.github.io/bicycle-homiel/

Parsing data from https://vancouver.ca/files/cov/Bike-lane-stats-by-month.pdf

Scripts to analyse OSM tags.