Bicycle and Pedestrian Traffic Counts from New York City Sensors

Bicycle and pedestrian counts are collected from sensor counters at key locations across New York City. The dataset likely contains time-series records of traffic flow, with columns suggesting data on travel mode, direction, sensor ID, and count status. Data may have lapses due to weather, equipment malfunctions, or transmission issues.

Use Cases

• Analyzing daily or seasonal bicycle traffic patterns using timestamp and counts columns.
• Comparing pedestrian and bicycle volumes at specific sensor locations using travelMode and sensor_id.
• Assessing directional flow of traffic on corridors using direction and flowName.
• Monitoring sensor network operational status using the status column.
• Aggregating counts by time granularity using the granularity column.

Strengths

• Data is provided by the City of New York, an authoritative municipal source.
• Cross-platform presence on Socrata and Data.gov signals importance and accessibility.
• The dataset includes specific metadata columns (e.g., direction, granularity, status) that provide context for the counts.

Limitations

• Key metadata such as row count, data size, license, and author are consistently listed as unknown or None across all sources.
• The description explicitly warns of potential data lapses due to transmission issues, weather, and equipment malfunctions.
• The last updated date shows a future date (2026-04-17) on Socrata, indicating a potential metadata error or system artifact.

Provenance

Source

City of New York

Collection Method

Collected via electronic sensor counters at key city locations.

Freshness

2026-04-17 15:29:17 (Socrata), though this appears to be a future date.

Geography

New York City, USA