This dataset includes the number of trips scheduled to run on the Staten Island Railway for different periods of time in each month based on the timetable in effect.

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 reflects the number and percentage of subway trains delayed per weekday based on scheduled service, broken down into specific delay categories.

NYCT Paratransit ridership measures both total trips, the count of trips provided to registered NYCT Paratransit clients in a given month, and total ridership, the count of personal care attendants (PCAs) and guests who join clients on the trips.

Reflects the total number of registrants for paratransit service by borough/county per month.

This dataset provides the monthly legacy service indicators that characterize the age of MTA's bus fleet, broken down by agency (NYC Transit and MTA Bus Company).

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

On-Time Performance (OTP) measures the percentage of trains arriving at their destination terminals as scheduled. While the main measure for OTP excludes delays caused by trains held for connections with the Staten Island Ferry, OTP including boat delays is also included. The dataset also includes the number of on-time trips and delayed trips per month (both including and excluding boat delays), the number of scheduled trips, incomplete trains per month, and the percent of trains that are completed per month.

This metric measures customer complaints about Access-a-Ride, including about Transportation and non-Transportation service quality. This data is used along with Trips/Ridership data to create the Complaint rate metric which is complaints per 1000 completed trips.

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).

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

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.

Major Incidents are unplanned incidents that delay 50 or more trains, which cause the most disruption to customers. This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Major-Incidents-Beginning-2020/j6d2-s8m2.

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

Mean Distance Between Failures reports how frequently train mechanical problems cause delays.

This indicator reflects the percentage of time during each month that the average platform at accessible stations is available to passengers who need step-free access.

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 metric measures the frequency with which primary providers do not arrive at the pick-up location within 30 minutes of the promised time and the trip is not provided.

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 indicator shows the number of wheelchair ramp or lift deployments on buses each month.

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

Mean Distance Between Failures reports how frequently train mechanical problems cause delays by month and subway car class. It is the main indicator for subway car reliability used at NYCT and is used to compare performance over time and across different subway car types. Only a small proportion of subway delays are due to malfunctioning trains.

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

This dataset reflects the monthly number of units vandalized for select elements of the subway and bus system.

Major Incidents are incidents that delay 50 or more trains, which cause the most disruption to customers. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Subway-Major-Incidents-2015-2019/ereg-mcvp.