Docked Bikeshare Ridership by System and Month

Monthly ridership data from January 2019 through 2023 for docked bikeshare systems in the United States. The dataset, published by data.bts.gov, tracks trips to analyze the impacts of COVID-19 on public mobility. It includes metrics on trip counts, durations, and system-level details.

Use Cases

• Analyze monthly ridership trends by system using the `sysname`, `year`, and `assigned_month` columns.
• Compare pre- and post-pandemic mobility patterns by filtering `year` and calculating changes in `num_trip`.
• Identify systems with specific trip types, such as docked versus dockless trips, using the `trip_type` column.
• Assess trip duration patterns across different systems by aggregating the `sum_min` column.
• Map bikeshare activity geographically using the `lat`, `lng`, or `US Counties` columns.

Strengths

• Covers five years of data from 2019 to 2023.
• Includes multiple data fields per record, such as `sysname`, `year`, `num_trip`, and `trip_type`.
• Data is aligned to compare the same days of the week across years for consistent trend analysis.

Limitations

• Ridership data is not available for all docked bikeshare systems, limiting coverage.
• Trips shorter than 1 minute or longer than 2 hours are excluded, potentially skewing usage statistics.
• Sample size and total row count are unknown.

Provenance

Source

data.bts.gov

Collection Method

Aggregated from docked bikeshare systems, with trips defined as rides from point A to B and filtered by specific counting rules.

Time Range

2019-01-01 to 2023-12-31

Freshness

Historic data updated July 2023; Q4 2023 and later data updated June 2024.

Geography

United States (systems in US Counties and US States and Territories)