On-Street Parking Sensor Records from Melbourne CBD

14.2 million rows of sensor data capture vehicle arrivals and departures from Melbourne's central business district. The dataset, released by the City of Melbourne, covers the period from January to May 2020 to analyze the impact of Covid-19 on city movement.

Use Cases

• Analyze vehicle arrival and departure patterns to model parking bay occupancy and turnover rates.
• Identify instances where a vehicle has overstayed the parking restriction to assess compliance and enforcement needs.
• Study changes in parking duration and frequency from January to May 2020 to measure Covid-19's impact on city travel.

Strengths

• 14.2 million rows provide a high-resolution temporal record of parking events.
• Data originates from in-ground sensors installed in most CBD parking bays, offering direct physical measurement.
• Covers a defined 5-month period in 2020, enabling focused analysis of pandemic-related mobility shifts.

Limitations

• Column names and structure are unknown, requiring schema discovery before analysis.
• The dataset's 2020 time range may not reflect current post-pandemic parking behaviors.
• Spatial coverage is limited to the City of Melbourne CBD, not representative of broader metropolitan areas.

Provenance

Source

City of Melbourne Open Data

Collection Method

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

Time Range

January 1st 2020 to May 2020

Freshness

Data last updated in the platform catalog on 2026 03 20, but the underlying records cover early 2020.

Geography

Central Business District (CBD) of Melbourne, Australia