Brisbane Paid Parking Occupancy Forecasts 2023-2024

2023–2024 parking occupancy forecasts for Brisbane City Council's paid parking meters, compiled using machine learning from survey, transaction, and environmental data. The dataset is provided for developers to build tools estimating parking availability and links to meter location data via a MOBILE_ZONE field.

Use Cases

• Build a web app to forecast parking availability for residents using occupancy forecasts linked to MOBILE_ZONE.
• Analyze the relationship between parking meter transaction data and occupancy forecasts to validate model accuracy.
• Develop a tool integrating occupancy forecasts with environmental data to predict parking demand under different conditions.

Strengths

• Covers all of Brisbane City Council's parking meters for a defined 2023–2024 period.
• Forecasts generated using advanced analytics and machine learning on multiple data sources.
• Explicitly linked to a separate meter location dataset via the MOBILE_ZONE field for enhanced utility.

Limitations

• Specific data volume (row count, column count) and sample structure are not provided in the input.
• Forecast accuracy is dependent on underlying survey and transaction data, which may have inherent collection gaps.
• Data is limited to paid parking areas within Brisbane, not covering all parking infrastructure.

Provenance

Source

Brisbane City Council open data portal (data.brisbane.qld.gov.au).

Collection Method

Compiled using advanced analytics and machine learning on parking occupancy surveys, meter transactions, and other traffic/environmental data.

Time Range

2023–2024.

Freshness

Last updated March 2026, suggesting ongoing maintenance.

Geography

Brisbane, Queensland, Australia (all Council paid parking meters).