BikeDNA: Bicycle Infrastructure Data & Network Assessment
Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap
BikeNetKit Python package to grow urban bicycle networks
Bicycle Master Plan is a map tool that allows visualizing data from different sources in multiple layers. It supports navigation with SpeechSynthesis API. Built heavily around data from OpenStreetMap with full visual styling via CSS.
Where to build new bicycle parking spots in Paris? Supporting data-driven decision making with open data
BikeNetKit Python package to detect gaps in developed bicycle networks
OSM-based map with bike-specific visual hierarchies
Trassenscout supports administrations in the process of evaluating and building cycle highways and other route based infrastructure.
Sustainable Transportation Planner for Python
Bicycle road signs generator for Slovakia. Supports IS 40a, IS 40b, IS 40c, IS 40d, IS 40f, IS 40g, IS 40h navigation road signs.
Great bicycle data, freely shared. A structured dataset of brands, models, and sizes—so you don’t have to hunt for it like we did. Enjoy!
BikeNetKit Python package to link disconnected bicycle network components
FIT5120_IE Project
Classify OpenStreetMap (OSM) ways by Level of Traffic Stress (LTS 1–4) using the Furth methodology. Pure Python, zero deps.
Code for analyzing the results from running BikeDNA BIG (https://github.com/anerv/BikeDNA_BIG) on bicycle infrastructure data from Denmark.
Source code for the scientific paper analyzing the Danish bicycle node network
UWP app to control Bontrager RT lights
Interactive map with user-contributed hazards for cyclists, such as dangerous intersections, unsafe or missing cycle lanes, parking cars.
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