On-Street Parking Bays With Sensor And Meter Links

Spatial polygons represent parking bays across the city, linking to parking meters and sensor information. The dataset is part of a three-dataset system for live parking sensor data, with joins defined via marker_id and bay_id attributes. Data is provided in multiple geospatial formats including SHP, JSON, CSV, and GEOJSON.

Use Cases

• Map parking bay polygons to analyze spatial distribution and accessibility features across the city
• Join parking bay sensor data using the marker_id attribute for real-time occupancy monitoring
• Link parking bay restrictions using the bay_id attribute to model parking policy impacts
• Integrate polygon data with meter information for revenue and usage analysis

Strengths

• Data is provided in multiple interoperable geospatial formats (SHP, JSON, CSV, GEOJSON)
• Designed as part of a three-dataset system with defined join keys (marker_id, bay_id) for integration
• Includes links to parking meter and sensor information, enabling multi-faceted analysis

Limitations

• The dataset description warns of upcoming system improvements that may disrupt data availability
• The on-street parking bays and on-street car park bay information datasets do not currently join
• Specific data volume (rows, size) and column schema are unknown

Provenance

Source

City of Melbourne Open Data

Collection Method

Spatial data collection representing physical parking infrastructure.

Time Range

null

Freshness

Last updated March 20, 2026.

Geography

City of Melbourne, Victoria, Australia