I’ve been working on a Python package called ExtractOSM that can extract roadway features from large Open Street Map (OSM)…
How to Measure Centrality Among Bike-Share Trips Using pgRouting
In this post, I explore the idea of using pgRouting as a platform to measure trip centrality. I will define centrality, and the steps I took to measure it in a group of bike-share trips that took place in Washington, DC in August of 2019.
Boston’s Bluebikes Data Exploration Tool
As I’ve said in other places, I love R and building shiny apps has been a great way to show…
Bikeshare Distribution Tool
Bikeshare Bike Distribution Tool This tool is designed to help create a distribution plan for the Citibike bikeshare program. It’s…
Inferred Route Preferences in Bike Sharing
This study provides another lens to explore how crowdsourced data can be used to gain insight into the way varied populations of cyclists use their local transportation system.
Mining the Twin Cities Nice Ride Data
Bike Sharing A bike share program is a system of supplying bicycles for hire for point-to-point transportation. This program enables…
Visualizing Bikeability in San Francisco
Efforts to develop indices that mark the bikeability of cities have been the focus of past research. Examples can be found here,…
Inferred Bicycle and Pedestrian Flows using sDNA
Two anaylses of Glasgow’s bike-ped network using sDNA.
Exploring Glasgow’s Bike Crash Hotspots
This post explores the density of bicycle crashes in Glasgow between 2005 and 2014 and discusses safety implications
Urban Data Cyclist 