Scripts to analyse OSM tags.

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

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

Code for analyzing the results from running BikeDNA BIG (https://github.com/anerv/BikeDNA_BIG) on bicycle infrastructure data from Denmark.

Para el mapa de catastro de ciclovías en el marco del Plan Maestro de Ciclovías de Santiago

Parsing data from https://vancouver.ca/files/cov/Bike-lane-stats-by-month.pdf

The cycling policy of recent years has been greatly improved and the health context has greatly influenced transport. The main goal of this project is to observe the evolution of the bicycles, cycling infrastructures and remaining problems in Paris.

Final individual data journalism project Fall, 2019. I decided to compare bicycle cultures in Moscow and Philadelphia. Included here: All project data, data cleaning and analyses; project presentation and final article. Please consult README files in individual folders; note two files are .zip. Thank you for taking a look!

UWP app to control Bontrager RT lights

Bike lanes are for 🚲and not for 🚘

Lane Lookout is a web app designed to help cyclists report lane obstructions and violations. We aggregate these data and send them to the relevant parking enforcement authorities so that cyclists can ride safely.

VBB stations with nearby bicycle parking facilities.

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

OSM-based map with bike-specific visual hierarchies

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap

Website generated from OpenStreetMap data describing cycling infrastructure in Kraków, Poland

PDF y Jupyter notebook en Python de mi trabajo sobre un dataset del uso de bicicletas públicas 2018 en CABA

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.