MTA NaviLens Usage: Scan Events for Public Transport Assets

Scan event records for NaviLens codes deployed across MTA assets like bus stops and subway stations. The data includes columns for the scanned asset type (Physical Asset), app used (App), device language (Language), and timestamps (Date NY). It is published by data.ny.gov and was last updated on January 9, 2026.

Use Cases

• Analyze usage trends by asset type (Bus Stop Type, Train Car Type) and app (App) over time (Date NY).
• Evaluate language and locale (Language, Locale) adoption patterns across different transit environments (Station Name, Bus Stop Name).
• Correlate scan events with specific physical locations using identifiers (Subway ID, Bus Box ID).

Strengths

• Includes specific asset identifiers (Subway ID, Bus Box ID) for linking to external transit datasets.
• Contains multiple timestamp and language-related columns (Date NY, Language, Locale) for detailed time-series and demographic analysis.
• Available in multiple machine-readable formats (CSV, JSON, XML, RDF).

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Freshness should be verified as the last update timestamp is from the future (2026-01-09).

Provenance

Source

data.ny.gov

Collection Method

Likely collected from scan events generated by the NaviLens and NaviLens GO mobile applications.

Freshness

Last updated 2026-01-09 20:51:26.

Geography

Likely focused on the Metropolitan Transportation Authority (MTA) service area, including New York City.