BikeDNA: Bicycle Infrastructure Data & Network Assessment
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Updated
Nov 13, 2023 - Jupyter Notebook
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.
OSM-based map with bike-specific visual hierarchies
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
Sustainable Transportation Planner for Python
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.
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
Bicycle infrastructure in Homiel (Bielaruś). The map and statistics https://qqq3.github.io/bicycle-homiel/
Parsing data from https://vancouver.ca/files/cov/Bike-lane-stats-by-month.pdf
Data for Toronto Bicycle-related crimes from 2014 to 2017
Website generated from OpenStreetMap data describing cycling infrastructure in Kraków, Poland
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