BikeDNA: Bicycle Infrastructure Data & Network Assessment
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Updated
Sep 15, 2025 - Jupyter Notebook
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.
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 🚘
Code repository for creating a routable bicycle network from OSM data for all of Denmark classified into levels of traffic stress.
Bicycle node network loop analysis
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/
Data for Toronto Bicycle-related crimes from 2014 to 2017
Generator of bicycle infrastructure report for Kraków based on my bicycle data reporting tool and OpenStreetMap
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