On-Street Parking Sensor Events from Melbourne CBD

42.7 million records capture vehicle arrival and departure times from in-ground sensors in Melbourne's central business district. The data includes parking restriction details and overstay indicators, enabling analysis of occupancy and turnover. It was collected by the City of Melbourne in 2019.

Use Cases

• Model parking bay vacancy times using vehicle arrival and departure timestamps.
• Analyze compliance patterns by correlating vehicle stay times with parking restriction rules.
• Identify high-demand areas by aggregating sensor events showing vehicle presence.
• Detect overstay frequency by examining records where vehicles exceeded the parking restriction.

Strengths

• 42.7 million rows of event-level sensor data.
• Records include specific timestamps for arrival and departure to calculate precise durations.
• Data includes the parking restriction for each bay and an overstay flag.

Limitations

• Data is from a single year (2019) and may not reflect current parking patterns.
• Geographic coverage is limited to the Melbourne CBD where sensors were installed.
• Column names and full schema are not provided in the input.

Provenance

Source

City of Melbourne Open Data.

Collection Method

Collected via in-ground parking bay sensors recording vehicle presence.

Time Range

2019.

Freshness

Last updated March 2026, but the underlying data is from 2019.

Geography

Melbourne Central Business District (CBD), Australia.