Wait Assessment measures how regularly trains are spaced during peak hours at selected timepoints on each line.

Wait Assessment measures how regularly trains are spaced during peak hours at selected timepoints on each line.

Passenger Environment Survey indicators combine the results of surveys of a number of different aspects of subway car conditions to measure passenger comfort and convenience.

This deprecated dataset contains information on LIRR Systemwide Delays using reporting categories that were active from 2015 to 2022. More up-to-date and granular information on LIRR Delays can be found at data.ny.gov/d/e32g-kbe9.

This dataset lists all causes of delays on Metro-North that results in a train is cancelled, terminated, substituted by bus service, or late (in a rounded number of minutes). The specific delay cause category, the train number, and the branch the train operates on are also provided.

This dataset is a table of each distinct set of stations, or path, made by all normal and extra subway trips that run in service, excepting those that skipped one or more planned stops due to service disruptions.

There is a row for each subway stop made by a stop path. These rows also contain the unique id for each path, the number of stops made by the path, the distance in miles along the path, the origin and destination stations, and the order a stop is in the stop path.

This dataset lists all Metro-North trains that are delayed, defined as those that are canceled, terminated, substituted by bus service during unplanned circumstances, or arrive at their destination with a delay of a specified number of minutes, the train number, and the branch the train operates on.

This dataset contains information on customer feedback submitted by riders of the transit system on the MTA’s website. For each piece of feedback provided, it is categorized as a complaint or commendation, and there is information provided for the agency (Buses, Subway, Long Island Rail Road, or Metro-North Railroad), the subject matter, the subject detail, the issue detail, the year, the quarter, and, if applicable, the branch/line/route.

This dataset provides information on the actual end-to-end running times for subway trips between their origin and destination stations, including the average, and 25th, 50th (median), and 75th percentile running times in minutes, along with the scheduled end-to-end running time in minutes for these trips.

Data is available for a combination of each month, day type (Weekday, Saturday, Sunday), time period (AM Peak, Midday, PM Peak, Evening, Overnight), subway line, and stop path id (each distinct set of subway stops made by trains). The dataset also includes the direction, number of stops, origin station, and destination station for each stop path, the distance and average actual speed in miles per hour along the stop path, and the actual and scheduled number of trains running along the stop path.

Service alerts in the MTA system are generated to inform passengers of both scheduled and unscheduled events that affect the transit network. These events can range from planned maintenance and construction activities to unexpected incidents such as accidents, track maintenance or planned work and more. The process of creating alerts involves the continuous monitoring of the transit system, including station locations, track statuses, and external factors that might impact service. When a potential disruption is identified, an alert is generated to provide passengers with timely and accurate information about how their travel might be affected.