Shared Micromobility Vehicle Trips

Shared Micro-mobility Vehicle Trips

Location

• When the dataset was originally created it used the city-wide hexagon grid and we’ve moved to census tracts. We are no longer sharing this data due to privacy concerns.

• After many discussions with colleagues and industry experts, we decided to remove the latitude and longitude data from our public shared micro-mobility dataset in order to protect user privacy. We are doing this out of an abundance of caution. No shared micro-mobility user has been personally identified by the data we’ve released, and we believe this risk is extremely low.

• As of now, there is no consensus from the community on how best to share this kind of location data, and it’s likely that the way we release shared micro-mobility data will continue to change over time. Furthermore, we remain committed to being as transparent as possible with our shared micro-mobility data management, and strongly believe that this data is a valuable community resource.

• We are working to produce a new dataset that provides aggregated trip origins and destinations in a way that does not risk re-identifying users, while still being of use to researchers, and members of the public. More details on that to come soon.

• We are currently drafting a Medium article on this issue. Here is a link to our last post.

Vehicles

• Information on number of vehicles authorized to be licensed is available at Shared Mobility Services under Current Micromobility Operators.

• The method of reservation/checkout information (smart phones vs. alternative engagement) is not currently included in the Mobility Data Specification dataset. Here is the list of parameters we can access via the Trip endpoint currently.

• We've decided not to include a column for vendor because it could be used to investigate competitive dynamics between the firms. The vendors shared their concern that this would be revealing their trade secrets and firms could use that data against one another. Our goal in releasing this data is to make high level information available about dockless usage and less around the market dynamics between competitors in the space.