Capital Bikeshare Demand with Weather and Seasonal Features, 2011-2012

Washington D.C. bike-sharing rental data aggregated hourly and daily for 2011 and 2012. The dataset includes environmental and seasonal features like weather conditions, temperature, and holiday schedules, extracted from the Capital Bikeshare system and weather sources. 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 rental patterns using features for season, month, and holiday status.
• Detecting city-wide events by monitoring anomalies in bike-sharing mobility patterns.

Strengths

• Includes two years of historical data from a real-world bike-sharing system.
• Enriched with explicit weather and seasonal information such as temperature, holiday, and weather situation.
• Data aggregation on both hourly and daily basis provides flexibility for analysis.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation beyond the listed attributes is absent; field semantics for some columns must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Capital Bikeshare system, Washington D.C., USA and Freemeteo.com.

Collection Method

Historical log data aggregated on two-hourly and daily basis, with weather and seasonal information extracted and added.

Time Range

2011 to 2012

Geography

Washington D.C., USA