New York City Subway Origin-Destination Ridership Estimates for 2023

2023 estimates of passenger travel patterns across the New York City subway system, aggregated by month, day of week, and hour of day. The dataset provides estimated volumes for all populated origin-destination station pairs, derived from OMNY and MetroCard data. It includes station names, IDs, and approximate geographic coordinates for both origin and destination complexes.

Use Cases

• Model passenger flow between origin and destination station complexes using aggregated hourly volumes.
• Analyze ridership patterns by month and day of the week to identify peak travel periods.
• Map travel demand by joining origin and destination coordinates to spatial datasets.
• Compare estimated passenger volumes derived from OMNY and MetroCard return swipe data.

Strengths

• Data is aggregated by month, day of week, and hour of day, providing multiple temporal resolutions for analysis.
• Includes geographic coordinates for origin and destination station complexes, enabling spatial analysis.
• Covers all populated origin-destination pairs for the New York City subway system in 2023.

Limitations

• Data is an estimate derived from scaled-up fare data, not a direct count of individual trips.
• The specific number of rows, columns, and total passenger counts is not provided in the input.
• Data is limited to 2023, providing a single year of coverage without historical context.

Provenance

Source

State of New York, via the New York City Transit (NYCT) system.

Collection Method

Estimates derived from scaled-up OMNY and MetroCard return swipe data.

Time Range

2023.

Freshness

Last updated on July 26, 2024.

Geography

New York City subway system.