New York City Trip Characteristics Survey 2022

Citywide Mobility Survey Trip data details characteristics of individual trips taken by participants in 2022. The dataset includes origins, destinations, mode, purpose, fees, parking, and duration. It is provided by data.cityofnewyork.us and was last updated in March 2026.

Use Cases

• Modeling mode_priority_nyc based on depart_hour, travel_dow, and trip_distance.
• Analyzing parking cost and location patterns using park_cost, bike_park_loc, and scooter_park_location.
• Predicting trip purpose categories like d_purpose_category_linked from mode, duration_seconds, and transit_type.
• Studying transportation network company (TNC) usage patterns with tnc_type, taxi_cost, and taxi_pay columns.
• Assessing regional travel flows using o_in_region, d_in_region, and trip_weight_zonal features.

Strengths

• Contains over 30 specific columns detailing trip attributes like mode, cost, and timing.
• Provides temporal granularity with columns for depart_date, depart_hour, and arrive_hour.

Limitations

• Unknown row count prevents assessment of statistical power and representativeness.
• Sample data is unavailable for previewing data distributions and null values.
• Data is from a single year (2022), limiting longitudinal trend analysis.

Provenance

Source

data.cityofnewyork.us

Collection Method

Survey data collected from participants via the Citywide Mobility Survey.

Time Range

2022

Freshness

Last updated March 2026, but primary data collection year is 2022.

Geography

New York City, with regional indicators (o_in_region, d_in_region).