On-Street Parking Sensor Events for Melbourne CBD in 2016

34.1 million parking event records from in-ground sensors in Melbourne's central business district during 2016. The dataset, provided by the City of Melbourne, captures vehicle arrivals, departures, and parking restriction compliance.

Use Cases

• Analyze parking duration patterns using the 'seconds' field to model occupancy and turnover rates.
• Identify overstayed parking events by comparing sensor-recorded arrival/departure times against the bay's 'Sign' restriction.
• Investigate sensor data anomalies, such as negative values in the 'seconds' field indicating timestamp recording errors.

Strengths

• 34.1 million rows of granular event-level data from physical sensors.
• Covers a full calendar year (2016) of parking activity in a major city center.
• Includes specific data quality flags documented by the provider, such as 342,475 records with 'OLD' restriction tags.

Limitations

• Contains known data issues including negative durations and records with unrecorded arrival/departure times.
• Excludes 4,346 records where parking events spanned into 2017.
• Specific column names and schema are not provided in the input metadata.

Provenance

Source

City of Melbourne Open Data

Collection Method

Recorded by in-ground parking bay sensors installed in most CBD parking bays.

Time Range

2016 calendar year

Freshness

Data covers the 2016 calendar year; metadata was last updated in March 2026.

Geography

Central Business District (CBD) of Melbourne, Australia