This study focuses on a few of the most intractable problems that any robust bikeshare network faces: rebalancing stations so that they are neither full nor empty, and bike availability. Uneven demand and traffic flows are the root causes, preventing bikeshares from reaching their full potential as forms of public transportation.
Inspired by Alexander Tedeschi’s Master’s thesis “A geospatial analysis of bike share redistribution in New York City”, we decided to explore Citi Bike’s system data and json feed for the year 2015 in order to visualize and analyse where and when bicycles were transferred and bike availability patterns.
We hope that this data exploration tool will serve as an engaging resource for bikeshare users, urbanists, open data enthusiasts, and those who work in public transportation.
Read more details at Urbica's blog post