Inspiration
We wanted to improve the efficiency of B-Cycle
What it does
We recommended 6 kiosks to alleviate high traffic bike paths.
How we built it
We ran a K-means clustering algorithm on the bike return location data
Challenges we ran into
Getting the points to show on our map once they were found
Accomplishments that we're proud of
Getting recommendations for new kiosks that made practical sense
What we learned
B-Cycle kiosks are not created equally when it comes to bike traffic
What's next for B-Cycle Kiosk Reduction through KMeans
Finding non-Austin locations to alleviate high-traffic bike locations
Built With
- folium
- python
- scikit-learn
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