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
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/
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