Swarm of Scooters
- Fix color for Spin
- Spin LA URL
- Add Bird GBFS feeds
- Add total device count
- Fix temporary company filter holdover
- Add Santa Monica for Lime (where is the gbfs feed???)
- Combine Arlington w/ DC
- Make sure initial city selected is Los Angeles
- Project write-up
- DC Neighborhood Map: http://data.codefordc.org/dataset/neighborhood-boundaries-217-neighborhoods-washpost-justgrimes
- Denver Neighborhood Map: https://www.denvergov.org/opendata/dataset/city-and-county-of-denver-statistical-neighborhoods
- San Diego Communities: http://sangis.org/docs/news/Layer_Update_Report.pdf
- SF Neighborhood Map: https://data.sfgov.org/Geographic-Locations-and-Boundaries/SF-Find-Neighborhoods/pty2-tcw4
- NYC Boroughs: https://data.cityofnewyork.us/City-Government/Borough-Boundaries/tqmj-j8zm
- LA Neighborhoods outside city boundaries?
- Move to shinyapps.io
- Fix issue: Cities w/out bikes
- Move hex colors to
dataand import into app
- Add Wheels & Skip to map
These data are made publicly available by dockless mobility companies either voluntarily or as required by municipalities for a permit to operate. They are formatted according to the General Bikeshare Feed Specification (GBFS) that is maintained by the North American Bike Share Association (NABSA). Although GBFS was originally designed for docked bikeshare, it can be adapted fairly easily to cover the broader category of dockless devices as well.
The table in
data/systems.csv lists all the GBFS feeds for dockless mobility companies that I currently have. In many cases, I was able to get data from NABSA's
systems.csv. However, in other cases I was able to find publicly-available feeds that were not listed on that list. For example, Bird does not post any of their system information there.
The following table includes the color that I used to symbolize the provider in the map. I will update the table (and map) as I add any new providers.
Zooming out on the map will triggers neighborhood polygon overlays with devices counts for each.