User personas are a human-centered design tool that help open data program administrators design programs offerings for the full community open data users for maximum reach and impact. User personas help keep real people in mind when designing program offerings and can identify user segments in the open data community that have the potential to use open data to help solve problems.

The Metropolitan Transportation Authority (MTA) is excited to share our open data user personas which were designed in collaboration with our existing open data community through multiple stakeholder workshops.

This dataset lists all LIRR trains that are delayed, with information on whether a train is cancelled, partially cancelled, or late (in a rounded number of minutes), the train number, and the branch the train operates on. For the cause of delays, use dataset https://data.ny.gov/Transportation/MTA-LIRR-Delays-Beginning-2010/e32g-kbe9, which is updated monthly.

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.

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).

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 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.

The bus fare evasion (BFE) rate is the estimated percentage of riders who illegally board buses. It is calculated systemwide quarterly using Automated Passenger Counters. Rates are calculated and reported separately for Local/Limited, Express and Select Bus Service. Prior to Q1 2020, fare evasion was estimated using surveys conducted by traffic checkers.

This retired dataset provides financial information on total positions in Function/Department related to different MTA Agencies budgetary estimates and actuals. For a more comprehensive view of this data, please use MTA Headcount at data.ny.gov/d/ui26-n8p4.

This dataset shows the geographic locations of the branches on the LIRR used in passenger service as of 2013. It does not include a more recent change, namely the opening of the line to Grand Central Madison. It will be updated in the future to account for this.

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

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 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 dataset provides information on various indicators of safety measured by MTA Bridges & Tunnels, along with targets for some indicators. The indicators are a combination of preventative measures taken to prevent unsafe incidents, as well as occurrences of unsafe incidents.

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

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.

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.

This indicator shows the number of subway and bus journeys made each month by passengers using Reduced-Fare MetroCards between 2018 and 2023. This dataset is now retired, with data on reduced-fare usage of the transit system available in the hourly bus (https://data.ny.gov/Transportation/MTA-Bus-Hourly-Ridership-Beginning-February-2022/kv7t-n8in/) and subway (https://data.ny.gov/Transportation/MTA-Subway-Hourly-Ridership-Beginning-February-202/wujg-7c2s/) ridership datasets.

This dataset lists all LIRR trains that are delayed, with information on whether a train is cancelled, partially cancelled, or late (in a rounded number of minutes), the specific delay cause category, the train number, and the branch the train operates on. For data released daily, though without the cause of delays, use dataset https://data.ny.gov/Transportation/MTA-LIRR-Delay-Verification-Beginning-2010/wkbk-y3dt/about_data.

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.

The 2025-2044 20-Year Needs Assessment Comparative Evaluation is a framework which assesses the costs and benefits of potential expansions and enhancements. All potential projects are evaluated using a consistent set of models, tools, and criteria including ridership, time savings, network resilience and sustainability, capacity, equity, network leverage, geographic distribution, and cost. The most promising projects may be advanced for further study and possible inclusion in future capital plans. To view the full comparative evaluation and further details on the methodology, visit future.mta.info.

The dataset provides financial information on total positions in Function/Occupational Group related to different MTA Agencies budgetary estimates and actuals. For a more comprehensive view of this data, please use MTA Headcount at data.ny.gov/d/ui26-n8p4.

The dataset consists of annual procurement contracts data reported by the Metropolitan Transportation Authority to the Authorities Budget Office via the Public Authorities Reporting Information System (PARIS).

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