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

Sustainable Transportation Planner for Python

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

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

Python package to detect gaps in developed bicycle networks

Python package to grow urban bicycle networks from scratch

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.

All things data export for BikeNetKit: city choice, algorithm recommendation, data exports, etc.

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.

Bike lanes are for 🚲and not for 🚘

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

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

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