Monthly Dockless Vehicles Deployment By Census Block Group

data.lacity.org | Last Updated 30 Nov 2020

This dataset contains an average snapshot count (over a 1 second interval) of vehicle deployment locations by all Dockless Mobility companies grouped by month and Census Block group within the City of Los Angeles during the Pilot Program only from April 15, 2019 - February 29, 2020. Data is aggregated over a 1 month period, with the exception of April 2019, where data is aggregated from April 15 (deadline for formal compliance) to April 30. Vehicle deployment includes the individual instance a Dockless Mobility company locates a dockless vehicle in the public right of way. Dockless vehicles without a reported status change within 48 hours and vehicles with trips longer than 5 hours were excluded. For more information on vehicle deployment metric and the description of vehicle statuses, please visit the <a href="https://github.com/openmobilityfoundation/mobility-data-specification#mobility-data-specification" target = "_blank"> Mobility Data Specification Github</a> . This dataset contains micromobility vehicle deployment data reported to the City of Los Angeles Department of Transportation (LADOT) as part of the shared Dockless Mobility Pilot Program. This dataset will not be updated on a regular basis. LADOT captures shared dockless mobility vehicle and trip information using the Mobility Data Specification (MDS) API. MDS is an open-source project of the <a href="https://www.openmobilityfoundation.org/" target="_blank">Open Mobility Foundation (OMF)</a>. Geography data (latitude and longitude) is aggregated from all publicly shared Dockless Mobility datasets to protect user privacy.

Tags: scooter, transportation, mds, micromobility, dockless mobility, shared mobility, pilot, deployment, dockless

This dataset has the following 5 columns:

Column NameAPI Column NameData TypeDescriptionSample Values
interval_startinterval_starttextDate and time in local time ‘Los Angeles’ aggregated to the beginning of the month. For example, the timestamp 2019-05-08T01:41:28-07:00 is aggregated to 2019-05-01T00:00:00-07:00
intervalintervaltextThe time aggregation dimension. P1M means the dataset is aggregated by month. The exception is April 2019, where we only analyzed April 15 - 30, 2019
geography_typegeography_typetextThe geography aggregation dimension, i.e. Census Block Groups
geography_keygeography_keytextThe geography unique ID. For Census Block Groups, we use geoid10
deployment.avgdeployment_avgnumberThe average count of deployed vehicles in the public right of way (with status ‘available’, ‘unavailable’, ‘reserved’, or ‘trip’)