The Port Authority of NY & NJ annually reports on motor vehicle crashes throughout its facilities. The data reported in this dataset represents motor vehicle crashes of vehicles in transport on public trafficways within Port Authority jurisdiction. A crash is a harmful event which involves a motor vehicle in transport that strikes another motor vehicle, other property, debris, animal, pedestrian, or bicyclist, or in which a motor vehicle overturns (rolls over), jackknifes, catches fire or explodes while within the trafficway.

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.

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.

Service Delivered measures the percentage of scheduled trains that are actually provided during peak hours on weekdays (7 AM to 10 AM and 4 PM to 7 PM) and weekends (10 AM to 6 PM) for a given month. This dataset covers data from 2020 and on. For data between 2015 and 2019, use dataset https://data.ny.gov/Transportation/MTA-Subway-Service-Delivered-2015-2019/32ch-sei3.

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)

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

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.

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).

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 the Subway hourly dataset (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s).

This dataset includes the RGB Hex code and CMYK values for the colors used by the MTA for its various services, including the New York City Subway, the Staten Island Railway, the Long Island Rail Road, Metro-North Railroad, and Bridges & Tunnels, and for the MTA logo itself.

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.

Canalway Trail is a network of approximately 300 miles of multiple-use trails across upstate New York

Service Delivered measures the percentage of scheduled trains that are actually provided during peak hours on weekdays (7 AM to 10 AM and 4 PM to 7 PM) and weekends (10 AM to 6 PM) for a given month. This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Service-Delivered-Beginning-2020/bg59-42xi.

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.

The Highway Mileage Report is an annual publication that lists the mileage of roadway and maintenance jurisdiction/ownership of roadways within each municipality of New York State. Information is current as of the publication date.

The New York State Scenic Byways program was created in 1992 by the State Legislature. The program encourages both economic development and resource conservation, recognizing that each of these aspects of a byway must be fostered to ensure the success of the other. This dataset is a listing of all designated State and National Scenic Byways in New York State with Scenic Byway Corridor Management Plans: Includes location, length, route description, designation and website. Information is current as of the publication date.

This file contains data on the number and types of vehicles that entered from each entry point on the tolled section of the Thruway with their exit points.

This data set contains the number and percentage of vehicles that used E-ZPass or Cash by year by plaza on the NYS Thruway beginning in 2008.

Annual Average Daily Traffic (AADT) is an estimate of the average daily traffic along a defined segment of roadway. This value is calculated from short term counts taken along the same section which are then factored to produce the estimate of AADT. Because of this process, the most recent AADT for any given roadway will always be for the previous year. Data is available for all New York State Routes and roads that are part of the Federal Aid System.

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

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.

This metric tracks the monthly dollar amount of chargebacks and the percentage of transactions that have been disputed with the customer receiving a refund.

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