This page contains technical details related to our management of dockless mobility data (e-scooters, bicycles, etc).
We require dockless mobility operators to provide us with real-time trip reporting feeds in compliance with the mobility data specification.
We believe strongly that we do our best work when we work openly. It’s why we’ve built all of our reporting infrastructure on top of open data, and we’re continuing that practice with dockless mobility data.
We publish anonymized dockless trip records to our open data portal on an hourly basis. The dataset is here.
We have been very thoughtful about how we are approaching the release of this data. We are following the recommendations outlined in the Civic Analytics Network’s recent open letter, which was signed by Chief Data Officers and industry experts across the country.
Specifically, our trip records:
Do not include any vendor-provided identifiers. The trip IDs and device IDs in our dataset are completely arbitrary and cannot be traced to a specific operator.
Have start and end times rounded to the nearest 15 minutes.
Use latitude and longitude values rounded to three decimal degrees (roughly the area of a city block).
You can view monthly dockless trip summaries here
This is a public website that pulls directly from our public datasets. Here's the source code.
We have built an interactive web map which visualizes where dockless trips are starting and ending. We’re calling it the Dockless Data Explorer, available at dockless.austintexas.io.
The source code for our dockless mobility tools is freely available in five repositories (and counting):
Here are some handy queries for fetching dockless data summaries from the Open Data Portal
*Denotes that the query includes a filter for min/max distance (.1 miles / 500 miles) and max time (24 hours)
The where
clause can be modified to specify year and month. This selects february and march 2019 date_extract_m(start_time) in (2, 3) and date_extract_y(start_time) = 2019