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

Two years of historical bike rental data from the Capital Bikeshare system in Washington D.C., aggregated hourly and daily for 2011 and 2012. The dataset was created by Hadi Fanaee-T and Joao Gama and includes corresponding weather and seasonal information. It is used as a benchmark for regression tasks on numerical features.

Use Cases

• Forecasting bike rental demand based on hour of day, day of week, and holiday status.
• Analyzing the impact of weather conditions like temperature and precipitation on urban mobility patterns.
• Modeling seasonal trends in transportation usage based on month and season features.
• Studying the difference in rental behavior between working days and weekends.

Strengths

• Includes two full years of data (2011 and 2012), allowing for year-over-year analysis.
• Enriched with external weather and seasonal information, adding predictive context.
• Attributes are explicitly defined, including season, holiday, working day, and detailed weather situations.

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.
• Geographic coverage is limited to a single city (Washington D.C.), which may affect generalizability.

Provenance

Source

Capital Bikeshare system, Washington D.C., USA, and weather data from FreeMeteo.

Collection Method

Historical logs were aggregated on hourly and daily bases, with weather and seasonal information extracted and added.

Time Range

2011 to 2012

Geography

Washington D.C., USA