Sample Public Dashboards & Data Sets

These are public dashboards and data sets available on the internet from various public agencies, to provide a sample of the types of information and visualizations that are used.

• LA Metro Bike Share (https://bikeshare.metro.net/about/data/). Provides quarterly trip data and station reports. Since this is a docked system, the origins and destinations are established bike dock locations, reducing the sensitivity associated with precise location data. 
• City of Austin (https://data.austintexas.gov/Transportation-and-Mobility/Shared-Micromobility-Vehicle-Trips/7d8e-dm7r). Austin, TX provides open, downloadable data for either bulk downloads or via the Socrata Open Data API (SODA), which allows the ability to filter, query and aggregate data. The data is aggregated into census tracts to preserve anonymity. The software used to implement the API is open source and available on GitHub (https://github.com/cityofaustin/atd-micromobility-api). Austin also provides a web summary dashboard (https://data.mobility.austin.gov/micromobility-data/) and an interactive map-based data explorer tool (https://micro.mobility.austin.gov/).
• Minneapolis, MN Scooter data by year and pilot program applications by service provider (https://opendata.minneapolismn.gov/search?q=Scooters) 
• New York City Taxi and Limousine Commission (TLC) Data (https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page). The New York TLC publishes geographic, temporal, financial, and service data for trips made by both traditional ride-hailing (taxi) companies and Transportation Network Companies (TNCs). Individual medallion (driver) information is stripped from the dataset before it Is published to assist in protecting privacy, however some trips can still be linked to individual homes. Excellent examples of how this data can be analyzed and used can be found in the blog post Analyzing 1.1 Billion NYC Taxi and Uber Trips, with a Vengeance by Todd W. Schneider (https://toddwschneider.com/posts/analyzing-1-1-billion-nyc-taxi-and-uber-trips-with-a-vengeance/), accessed February 9, 2021.  
• Portland E-Scooter Trips Dashboard (https://www.portland.gov/transportation/escooterpdx/trips-dashboard).  The dashboard provides visualizations of aggregated trip data as well as the ability to download the actual data. Statistics can be viewed by year and type of day (weekday or weekend), by time and distance, by census block group, or as a heat map of trip start times.
• Louisville Dockless Trips Dashboard, City of Louisville, KY (https://cdolabs-admin.carto.com/builder/f57ee92e-09c3-4efd-b7c0-3d561cc9e951/embed). Louisville provides a map view of aggregated trip origins and destinations, which can be selected by data and time. The methodology used for aggregation is documented in Dockless Open Data (https://github.com/louisvillemetro-innovation/dockless-open-data). 
• Bay Wheels trip data (https://www.lyft.com/bikes/bay-wheels/system-data). Lyft provides trip level data to the public for their San Francisco Bay area bikeshare service, as required by their license agreement. They also provide a GBFS feed of real-time system data.
• Uber Movement (https://movement.uber.com/). Provides travel times and speeds based on Uber vehicle data. As of February 2021, data is available for 51 cities, including 13 in the U.S.