Melbourne CBD On-Street Parking Sensor Events 2017

35.9 million records of vehicle arrival and departure events from in-ground parking bay sensors in Melbourne's Central Business District. The dataset includes parking restriction details and overstay indicators for the 2017 calendar year.

Use Cases

• Analyze parking duration patterns using arrival and departure times to model bay turnover.
• Identify overstay frequency relative to posted parking restrictions to assess compliance.
• Investigate sensor data anomalies, such as negative duration values in the seconds field.
• Study temporal parking demand by aggregating events across the 2017 calendar year.

Strengths

• 35.9 million rows of granular, timestamped parking event data.
• Data includes specific fields for parking restriction (Sign) and overstay status.
• Covers a full calendar year (2017) for longitudinal analysis.

Limitations

• Contains known data issues including 860 records with ambiguous 'OLD' tags in the Sign field and records with negative duration values.
• 3,858 records where parking events span into 2018 are excluded from the 2017 data.
• Some arrival and departure times are not recorded and are calculated from midnight, introducing potential inaccuracy.

Provenance

Source

City of Melbourne Open Data

Collection Method

Collected from in-ground parking bay sensors installed in most CBD bays.

Time Range

2017 calendar year

Freshness

Historical data for 2017; metadata last updated March 2026.

Geography

Central Business District (CBD) of Melbourne, Australia