Bike Sharing Demand in Washington D.C. with Weather and Seasonal Data, 2011-2012

A two-year historical log from the Capital Bikeshare system in Washington D.C., aggregated on hourly and daily bases. The dataset includes rental counts combined with corresponding weather and seasonal information. It was created by Hadi Fanaee-T and Joao Gama for research on event labeling and mobility sensing.

Use Cases

• Forecasting bike rental demand based on hour of day and day of week.
• Analyzing the impact of weather conditions like precipitation and temperature on transportation usage.
• Modeling seasonal patterns in bike-sharing systems based on season and month attributes.
• Studying the difference in mobility between holidays and working days.

Strengths

• Data spans two full years (2011 and 2012), providing longitudinal coverage.
• Includes integrated environmental and temporal features such as weather, season, hour, and holiday status.
• Originates from a real-world, publicly available bike-sharing system with explicitly recorded travel details.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to one geographic area (Washington D.C.), which may not generalize to other cities.

Provenance

Source

Capital Bikeshare system, Washington D.C., USA.

Collection Method

Aggregated from historical system logs and enriched with weather data from freemeteo.com.

Time Range

2011 to 2012

Geography

Washington D.C., USA