Birmingham Parking Availability Time Series Data

Parking Birmingham contains time-series data on parking space availability in the city of Birmingham. The dataset originates from the UCI Machine Learning Repository and is categorized under Smart City and Urban Mobility topics. Specific details on the number of records, time range, and collection method are not provided in the available metadata.

Use Cases

• Forecast parking space availability using historical time-series occupancy data.
• Analyze temporal patterns in parking demand for different city zones or car parks.
• Correlate parking availability with external time-series data like events or weather.
• Train models to identify anomalies or unusual occupancy patterns in the parking system.

Strengths

• Data is hosted on the authoritative UCI Machine Learning Repository, ensuring a stable source.
• Platform tags indicate the dataset contains structured, tabular time-series data suitable for analysis.

Limitations

• The exact number of rows, columns, and temporal coverage is unknown, limiting assessment of scope.
• Without column names, specific feature engineering and model targeting are constrained.

Provenance

Source

UCI Machine Learning Repository

Geography

Birmingham, United Kingdom