Service Reliability metrics evaluate the LIRR’s ability to deliver timely and effective service to its customers. Included in these metrics are: Major Incidents, 4m to 6m Train Delays, Average Delay per Late Train, Number of Trains Over 15 Minutes Late, Number of Short Trains, Low Adhesion Delays.

On-Time Performance (OTP) determines how frequently a commuter train arrives at its final destination within 5 minutes and 59 seconds of its scheduled time.

Additional Bus Stop Time is the average time that customers spend waiting at a stop beyond their scheduled wait time.

Additional Travel Time is the average time customers spend onboard a bus beyond their scheduled travel time.

Customer Journey Time Performance is the percentage of customers whose journeys are completed within 5 minutes of their scheduled time.

This dataset covers data from 2020 and on. For data between 2017 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Customer-Journey-Focused-Metrics-2017-2019/8mkn-d32t.

On-Time Performance (OTP) determines how frequently a commuter train arrives at its final destination within 5 minutes and 59 seconds of its scheduled time.

A dataset listing all subway and Staten Island Railway stations, with information on their locations, Station Master Reference Number (MRN), Complex MRN, GTFS Stop ID, the services that stop there, the type of structure the station is on or in, whether the station is in Manhattan’s Central Business District (CBD), and their ADA-accessibility status.

This dataset includes the following safety metrics: customer accident rate, grade crossing incidents, train derailments, train collisions, lost time accident rate, lost time injury rate, employee lost time days.

This dataset provides an estimate of subway travel patterns based on scaled-up OMNY and MetroCard return swipe data. It provides estimated passenger volumes for all populated origin-destination (O-D) pairs aggregated by month, day of the week, and hour of day. It also provides the name, ID, and approximate latitude and longitude of the origin and destination subway complexes.

Wait Assessment measures how evenly buses are spaced. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Bus-Wait-Assessment-2015-2019/bmix-dpzc.

Call Center Performance is measured as the percent of calls that are answered and the average speed with which those calls are answered.

This dataset provides data showing the number of vehicles (including cars, buses, trucks and motorcycles) that pass through each of the nine bridges and tunnels operated by the MTA each day.

This dataset includes monthly customer feedback performance metric data for NYCT. For Subways, Buses, Access-A-Ride, MetroCard, and Other NYCT, there is data on the total number of complaints and commendations, and the number of complaints and commendations per 100,000 riders, along with monthly ridership.

Wait Assessment measures how evenly buses are spaced. This dataset covers data between 2015 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Wait-Assessment-Beginning-2020/swky-c3v4.

The percent of the time that elevators and escalators are operational systemwide.

These surveys were conducted to collect data on travel origins and
destinations, trip purposes, and travel characteristics of New York City
Transit, Metro-North Railroad, and Long Island Rail Road customers with
the aim of upgrading the MTA's travel forecasting tools and gaining a
better understanding of how people travel.
--LIRR origin-destination survey (2012-14)
--Metro-North origin-destination survey (2007)
--Metro-North origin-destination survey (2017)
--MTA New York City travel survey (2008)
--MTA New York City travel survey (2018)

The 2025-2044 20-Year Needs Assessment is a broad, comprehensive blueprint that outlines the MTA region's transportation capital needs for the next generation. It provides an extensive, long-term view based upon rigorous data analysis across all the MTA agencies. The MTA developed a three-part plan to for the next 20 years to achieve the transit network New Yorkers deserve. It is based on three fundamental ideas: rebuild the foundation of the system to ensure its survival, improve our network to meet 21st century needs, and expand to support future growth. This dataset includes data on the conditions of most assets in the MTA system.

Service Delivered measures our ability to deliver the amount scheduled service and capacity versus actual service.

The number of reportable job-related incidents that result in the inability of an employee to perform full job duties for at least one working day beyond the day of the incident, as well as a breakdown of the number of Employees and Lost Time Accident Rates.

Mean Distance Between Failures represents the number of miles a rail car travels before a mechanical failure makes the train arrive at its final destination more than 5 minutes and 59 seconds later than scheduled. This measures the reliability of equipment in revenue service.

Customer Experience is the percentage of valid trips and no-show trips that meet all four separate measurable established standards for quality of provider service (Pick-up OTP, Drop-off OTP, Max Ride Time, Provider No-Show).

Service Delivered measures our ability to deliver the amount scheduled service and capacity versus actual service. It details the number of trains that actually ran, and the number of trains that were canceled or terminated.

A dataset listing all station complexes in the subway system. Station complexes are collections of stations which are interconnected by passageways within fare control or are stations on different levels that are not parallel to each other and that are connected by stairways, escalators, or elevators.

This dataset is of major incidents on the LIRR, which are defined as events that lead to ten or more trains that are delayed by more than 5 minutes 59 seconds, canceled, or terminated.

This retired dataset contains information on entry/exit values for individual control areas and is posted purely for archival purposes. More detailed subway ridership data is now supported through https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s.

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

This is a dataset containing the entrances and exits at New York City Subway and Staten Island Railway stations. Information is provided on the entrance or exit, including their coordinates, the borough they are in, whether it allows entries and exits, and the type of entrance (more information below). The dataset also includes the name of the station complex, the complex ID number, the name of the specific station in the complex the entrance is for (constituent station), the station ID number, the GTFS Stop ID, the daytime routes that stop at the station complex, and the line and division the constituent station is on.