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

2017 ◽  
Vol 2648 (1) ◽  
pp. 68-78 ◽  
Author(s):  
Adam Caspari ◽  
Brian Levine ◽  
Jeffrey Hanft ◽  
Alla Reddy
Keyword(s):  
New York ◽  
New York City ◽  
Real Time ◽  
York City ◽  
Time Estimation ◽  
Time Of Day ◽  
Time Data ◽  
Wall Street ◽  
Time Model ◽  
Control Center

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 real-time model was developed to estimate crowding conditions and to predict crowding for 15 min into the future. The algorithm combined historical automated fare collection data on passenger entry used to forecast station entrance, automated fare collection origin–destination inference information used to assign incoming passengers to a particular direction and line by time of day, and general transit feed specification–real time data to determine predicted train arrival times used to assign passengers on the platform to an incoming train. This model was piloted at the Wall Street Station on the No. 2 and No. 3 Lines in New York City’s Financial District, which serves an average 28,000 weekday riders, and validated with extensive field checks. A dashboard was developed to display this information graphically and visually in real time. On the basis of predictions of gaps in service and, consequently, high levels of crowding, dispatchers at NYCT’s Rail Control Center can alter service by holding a train or skipping several stops to alleviate any crowding conditions and provide safe and reliable service in these situations.

Using Real-Time Data to Detect Delays and Improve Customer Communications at New York City Transit

2021 ◽  
pp. 036119812199411
Author(s):  
Adam Caspari ◽  
Daniel Wood ◽  
Angel Campbell ◽  
Darian Jefferson ◽  
Tuan Huynh ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Real Time ◽  
York City ◽  
Time Data ◽  
Transit System ◽  
Transit Systems ◽  
Location Data ◽  
Web Map ◽  
Set Up

New York City Transit operates one of the world’s largest transit systems, and it can be difficult for the agency’s communications team to keep track of the numerous service disruptions that need to be communicated to customers. This paper introduces the Transit Visualization tool, which processes real-time train location data to automatically identify areas of the system where service may not be living up to customers’ expectations. Specifically, the Transit Visualization is set up to identify areas of the system where trains are operating at lower-than-normal speeds and areas of the system where there are atypically long gaps between trains. Any occurrence of slow speeds or long gaps is assigned a severity level (Moderate, Severe, or Very Severe) to indicate the magnitude of the problem. An overview of any problems the application identifies is shown on an interactive web map, as well as on several easy-to-digest summary tables. The map also displays real-time locations of trains and buses throughout the transit system. The Transit Visualization has been successfully rolled out to the subways communications team and has become a mission-critical tool for communicating delays to customers, especially during the course of the COVID-19 pandemic.

scholarly journals The Organizational Trace of an Insurgent Moment

2017 ◽  
Vol 3 ◽  
pp. 237802311770065 ◽  
Author(s):  
Adam D. Reich
Keyword(s):  
New York ◽  
New York City ◽  
Social Movement ◽  
York City ◽  
Social Movement Organizations ◽  
Occupy Wall Street ◽  
Wall Street ◽  
Formal Organizations ◽  
Movement Organizations ◽  
The Relationship

The relationship between social movements and formal organizations has long been a concern to scholars of collective action. Many have argued that social movement organizations (SMOs) provide resources that facilitate movement emergence, while others have highlighted the ways in which SMOs institutionalize or coopt movement goals. Through an examination of the relationship between Occupy Wall Street and the field of SMOs in New York City, this article illustrates a third possibility: that a moment of insurgency becomes a more enduring movement in part through the changes it induces in the relations among the SMOs in its orbit.

The Influence of Depression Upon American Opinion, 1857–1859

1942 ◽  
Vol 2 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Samuel Rezneck
Keyword(s):  
New York ◽  
New York City ◽  
Life Insurance ◽  
York City ◽  
American Business ◽  
Sharp Decline ◽  
Wall Street ◽  
Financial Difficulties ◽  
Trust Company

On August 26, 1857, just two days after the New York branchthe Ohio Life Insurance and Trust Company suspended payment, of, the New York Herald predicted that the financial difficulties then beginning were certain to acquire the proportions of a great crisis. It boasted, moreover, that it had foreseen and warned of this impending calamity for the preceding twelve months, but its warnings had been spurned. The Herald's vaunted prescience perhaps stemmed chiefly from the long-standing prejudice of its publisher, James Gordon Bennett, against the operations of speculators in Wall Street. As early as 1854, when the speculative boom in railroad stocks was halted by a sharp decline of prices, the Herald had predicted the imminent approach of a crisis, one that would mark the end of the current “Fitful Spasmodic System” of American business. During the winter of 1854–1855 business stagnated, unemployment increased greatly, and there was considerable distress and popular unrest, especially in New York City. Here was an advance view, as it were, of the pattern of depression which was to develop in 1857.

Examination of New York City Transit’s Bus and Subway Ridership Trends During the COVID-19 Pandemic

2021 ◽  
pp. 036119812110288
Author(s):  
Anne Halvorsen ◽  
Daniel Wood ◽  
Darian Jefferson ◽  
Timon Stasko ◽  
Jack Hui ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Metropolitan Area ◽  
Relative Intensity ◽  
York City ◽  
Race And Ethnicity ◽  
New Technology ◽  
Time Of Day ◽  
Data Availability ◽  
Partial Data

The New York City metropolitan area was hard hit by COVID-19, and the pandemic brought with it unprecedented challenges for New York City Transit. This paper addresses the techniques used to estimate dramatically changing ridership, at a time when previously dependable sources suddenly became unavailable (e.g., local bus payment data, manual field checks). The paper describes alterations to ridership models, as well as the expanding use of automated passenger counters, including validation of new technology and scaling to account for partial data availability. The paper then examines the trends in subway and bus ridership. Peak periods shifted by both time of day and relative intensity compared with the rest of the day, but not in the same way on weekdays and weekends. On average, trip distances became longer for subway and local bus routes, but overall average bus trip distances decreased owing to a drop in express bus usage. Subway ridership changes were compared with neighborhood demographic statistics and numerous correlations were identified, including with employment, income, and race and ethnicity. Other factors, such as the presence of hospitals, were not found to be significant.

A Conversation and Two Epilogues

2016 ◽  
Author(s):  
Judy Malloy
Keyword(s):  
New York ◽  
New York City ◽  
Los Angeles ◽  
Real Time ◽  
York City ◽  
Cultural Centers ◽  
Main Street ◽  
The World ◽  
As If

When Kit Galloway and Sherrie Rabinowitz arrived in Telluride for Tele-Community in the summer of 1993, it seemed as if the whole town joined them on Main Street, as using slow scan video they connected townspeople and visiting digerati with artists, universities, and cultural centers around the world. Their Electronic Café had already presented New York City pedestrians with display windows of people waving and talking real time from Los Angeles (...

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