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  • data analytics (34)
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Data Analysis, Publications, operating techniques, signal system, subway

Automated Train Identification and Train Position Monitoring at New York City Transit

Like any legacy subway system that first opened in the early 1900s, the New York City subway system operates using technology that dates from many different eras. Although some of this technology may be outdated, efforts to modernize are often hindered by budgetary limits, competing priorities, and managing...

Data Analysis, Publications, automated fare collection, signal system, subway

Real-Time Estimation of Platform Crowding for New York City Subway: Case Study at Wall Street Station on No. 2 and No. 3 Lines in Financial District

Amid significant increases in ridership (9.8% over the past 5 years) on the more than 100 year-old New York City Transit (NYCT) subway system, NYCT has become aware of increased crowding on station platforms. Because of limited platform capacity, platforms become crowded even during minor service disruptions. A...

Buzzmaestro, Data Analysis, Publications, commuter rail, data analytics, strategy

Enterprise GIS in a Commuter Rail Environment: State-of-Practice at a Major Northeastern Carrier

Triggered by both Superstorm Sandy aftermath and a minor operational incident—where accurate and rapid mapping would have been tremendously helpful—Metro-North Commuter Railroad deployed its first Enterprise Geographic Information System (GIS) in 2012 by federating existing departmental systems, creating a companywide Office of GIS Coordination, promulgating GIS policies and...

Data Analysis, Publications, automated fare collection, scheduling/service planning, signal system, subway

Time-Expanded Network Model of Train-Level Subway Ridership Flows Using Actual Train Movement Data

Subway ridership estimates are important to transit operators for both internal applications (e.g., setting service frequencies, prioritizing station upgrades) and external reporting (e.g., to the National Transit Database). New York City Transit (NYCT) is developing a new model that will accomplish three primary objectives: (a) estimating subway ridership...

Data Analysis, Publications, automated fare collection, automatic vehicle location, bus, scheduling/service planning

Development of Application for Estimating Daily Boarding and Alighting Counts on New York City Buses

To support bus service scheduling and planning, New York City Transit (NYCT) put into production a ridership application to determine surface transit boarding and alighting locations for each of approximately 2.8 million daily passenger trips on 218 bus routes. The application combined data from an automated vehicle location...

Data Analysis, Publications, data analytics, performance, subway

Measurement of Subway Service Performance at New York City Transit

A recurring challenge that faces transit managers today is the persistent question of how to do more with less: to maintain and to improve service despite deficits of historic proportions. New York City Transit (NYCT) responded by retooling performance measurement frameworks and procedures to capture the customer’s perspective...

Data Analysis, Publications, automated fare collection, data analytics, subway

Measuring and Controlling Subway Fare Evasion

New York City Transit (NYCT) has a comprehensive framework for assessing, managing, and combating subway fare evasion. The automated fare collection system, implemented between 1994 and 1997, features lessons learned from field trials of prototypes specifically designed to limit fare abuse. Subway crime has decreased 68% since 2000,...

Data Analysis, Publications, automated fare collection, bus, scheduling/service planning

Algorithm to Measure Daily Bus Passenger Miles Using Electronic Farebox Data for National Transit Database Section 15 Reporting

New York City Transit (NYCT) implemented an automated algorithm to estimate daily bus unlinked trips, infer passenger miles, and compute average trip lengths by route with the use of transaction data from an entry-only automated fare collection (AFC) system. Total onboard miles are inferred from symmetries in bus...

Data Analysis, Publications, automated fare collection, bus, equity, subway

Using Quantitative Methods in Equity and Demographic Analysis to Inform Transit Fare Restructuring Decisions

New York City Transit (NYCT) and the Metropolitan Transportation Authority have integrated race and income equity considerations into their extensive public outreach processes for fare changes. Responding to FTA civil rights, Title VI, and environmental justice requirements, NYCT developed two quantitative and analytical approaches for fore-casting equity impacts...

Data Analysis, Publications, automated fare collection, scheduling/service planning, subway

Entry-Only Automated Fare-Collection System Data Used to Infer Ridership, Rider Destinations, Unlinked Trips, and Passenger Miles

All U.S. transit agencies receiving FTA Urbanized Area Formula Program funding under Section 5307 (Section 15) report service consumption statistics (revenue passenger miles and unlinked trips) to the National Transit Database. Passenger miles is an incentive-based funding element that generates millions of dollars annually for New York City...

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