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.

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.

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 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 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.

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.