Brisbane Parking Occupancy Forecasts 2021-2022

Brisbane City Council provides parking occupancy forecasting data for all its parking meters, compiled using machine learning on survey and transaction data. The dataset is designed for developers to build tools estimating paid parking availability and is linked to meter location data via a MOBILE_ZONE field.

Use Cases

• Develop parking availability apps by forecasting occupancy using linked MOBILE_ZONE identifiers
• Analyze parking demand patterns by integrating forecast data with meter location attributes via MOBILE_ZONE
• Train models to estimate paid parking availability using machine learning outputs from survey and transaction data

Strengths

• Covers all of Brisbane City Council's parking meters
• Forecasts generated using advanced analytics and machine learning
• Linked to a separate meter location dataset via the MOBILE_ZONE field for enriched analysis

Limitations

• Specific data volume, row count, and column structure are unknown from the provided input
• Core forecasting data attributes are described in a separate metadata file not directly reviewed

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 survey data, meter transaction data, and other traffic/environmental data

Time Range

2021-2022

Freshness

Data covers the 2021-2022 period; metadata was last updated in March 2026.

Geography

Brisbane, Australia (all Council parking meters)