In the conclusion of my post analyzing NYC taxi and Uber trips, I noted that Citi Bike, New York City’s bike share system, also releases public data, totaling 22.2 million rides from July 2013 through November 2015. With the recent news that the Citi Bike system topped 10 million rides in 2015, making it one of the world’s largest bike shares, it seemed like an opportune time to investigate the publicly available data.
Much like with the taxi and Uber post, I’ve split the analysis into sections, covering visualization, the relationship between cyclist age, gender, and Google Maps time estimates, modeling the impact of the weather on Citi Bike ridership, and more:
- Visualization: One Day in the Life of the Citi Bike Share System
- The Data
- Age, Gender, and the Accuracy of Google Maps Cycling Time Estimates
- Anonymizing Data is Hard!
- Magical Transports
- Quantifying the Impact of the Weather on Citi Bike Activity
Code to download, process, and analyze the data is available on GitHub.
One Day in the Life of the Citi Bike Share System
I took Citi Bike trips from Wednesday, September 16, 2015, and created an animation using the Torque.js library from CartoDB, assuming that every trip followed the recommended cycling directions from Google Maps. There were a total of 51,179 trips that day, but I excluded trips that started and ended at the same station, leaving 47,969 trips in the visualization. Every blue dot on the map represents a single Citi Bike trip, and the small orange dots represent the 493 Citi Bike stations scattered throughout the city:
[embedded content]
Enable javascript or click through to view the full interactive animation. If you're still having trouble, you can view a video of the visualization on YouTube
If you stare at the animation for a bit, you …read more
Source:: r-bloggers.com