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Jonas Neubert
Extreme Bikesharing
How I used Python to plan my Tour de GreenBike
SLC Python Meetup, Nov 2022
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Docked Dockless
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https://en.wikipedia.org/wiki/List_of_bicycle-sharing_systems
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Extreme Bikesharing
SLC GreenBike edition
2022-10-22
Extreme Bikesharing
Ford GoBike East Bay edition
2018-06-24
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switch to Jupyter Notebook
The primary (technical) content of this presentation was presented
by stepping through a Jupyter Notebook. You can download a copy
of the Notebook from this Github repo:
https://github.com/jonemo/extreme-bikesharing-slc
The following slides are screenshots of select cells from the
Jupyter Notebook that are only included in the published version of
these slides.
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return from Jupyter Notebook
After the excursion to the Jupyter Notebook for the main content of
the presentation, the slides resume here for the trip report.
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Start/Finish
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East Bay Stats
Estimated time from start to finish: 12 hrs 48 min
Actual time from start to finish: 13 hrs 2 min
Total bicycle rental time: 6 hrs 43 min
Total time between rentals: 6 hrs 5 min
Distance: ~90km
Stations checked in at: 121
Stopped at but not checked in: 1
Stations missed: 2
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Total number of stations in East Bay: 124
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PyPI packages used:
- notebook
- folium
- gbfs-client see also: https://gbfs.mobilitydata.org
- mapbox see also: https://docs.mapbox.com/
- ortools see also: https://developers.google.com/optimization/
- geopy (for distance calculation)
Wikipedia about Bikesharing
- https://en.wikipedia.org/wiki/Bicycle-sharing_system
- https://en.wikipedia.org/wiki/List_of_bicycle-sharing_systems
Image Sources:
Slidedeck icon created by Musavvir Ahmed from Nounproject
Docked bicycles in Gothenburg, Sweden, by W. Bulach via Wikimedia Commons (CC BY-SA 4.0)
A dockless bike from Mobike, by MNXANL via Wikimedia Commons (CC BY-SA 4.0)
A station of EnCicla in Medellin, by Bertahan Luxing via Flickr (CC BY 2.0)
BicikeLJ in Ljubljana, Slovenia, by Petar Milošević via Wikimedia Commons (CC BY-SA 4.0)
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Got idea for silly bike ride?
Email: [email protected]