North American Parking Search Statistics from Geotab

Parking search difficulty metrics for North American cities with populations over 100,000. The dataset includes average search times, vehicle type percentages, and geospatial distributions, aggregated from Geotab over a rolling six-month period and updated monthly.

Use Cases

• Identify problem areas for parking based on AvgTimeToPark and PercentSearching metrics.
• Analyze vehicle type distribution in parking searches based on PercentCar, PercentMPV, and PercentLDT columns.
• Model temporal patterns of parking demand based on HourlyDistribution and SearchingByHour JSON objects.
• Assess driver search behavior and circling patterns based on AvgUniqueGeohashes and CirclingDistribution data.
• Correlate parking search difficulty with external socioeconomic data like population or GDP as suggested in the inspiration.

Strengths

• Includes cities with populations over 100,000, providing a focus on significant urban areas.
• Contains multiple derived metrics like AvgTimeToParkRatio and vehicle type percentages.
• Data is updated monthly and aggregated over a six-month rolling window, suggesting ongoing maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred from the general description.
• Row count, file formats, and sample data are unknown, which limits suitability assessment.
• Data may reflect geographic bias inherent to its source, covering only North America.

Provenance

Source

Geotab (geotab.com)

Collection Method

Aggregated from vehicle data.

Time Range

Rolling six-month aggregation.

Freshness

Updated monthly.

Geography

North American cities with population > 100,000.