Citi Bike

Data

https://www.citibikenyc.com/data-sharing-policy

References

https://toddwschneider.com/posts/a-tale-of-twenty-two-million-citi-bikes-analyzing-the-nyc-bike-share-system/

Ideas

• use geopy to automatically find neighborhoods
• use google api to get elevation for stations
• calculate distance for each ride (preferably using actual maps routes)
• calculate elevation change for each ride
• calculate average velocity for each ride
• make network (similarity heatmap) views of all stations based on distance, connecting rides
• downsample data to view millions of rides from previous months
• use pivot tables to get age vs station-departure/station-arrivals