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.

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

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap

OSM-based map with bike-specific visual hierarchies

Sustainable Transportation Planner for Python

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

UWP app to control Bontrager RT lights

Bicycle node network loop analysis

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

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

Bike lanes are for 🚲and not for 🚘

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

Scripts to analyse OSM tags.

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

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

Generator of bicycle infrastructure report for Kraków based on my bicycle data reporting tool and OpenStreetMap

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

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

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