In Transit: The Transport Workers Union in New York City, 1933-1936.

1990 ◽  
Vol 95 (4) ◽  
pp. 1308
Author(s):  
Walter Licht ◽  
Joshua B. Freeman
1991 ◽  
Vol 77 (4) ◽  
pp. 1403
Author(s):  
Marjorie Murphy ◽  
Joshua B. Freeman

ILR Review ◽  
1991 ◽  
Vol 44 (2) ◽  
pp. 380
Author(s):  
Samuel Estreicher ◽  
Joshua B. Freeman

Author(s):  
Robert E. Paaswell ◽  
Laurence Audenaerd ◽  
Mohsen Jafari

To increase productivity and achieve promised operating budget savings, the Metropolitan Transportation Authority of New York City wished to optimize bus maintenance routines throughout its different divisions. New York City Transit and the Manhattan and Bronx Surface Transit Operating Authority entered an agreement with the Local 100, Transport Workers Union of America of Greater New York, AFL-CIO to form a team of delegates, under the supervision of a mediating industrial engineer (IE), to create standard task times for 26 specified bus maintenance core procedures. Within 90 days, this process intended to ( a) create fixed standards for each task, and ( b) reduce times now spent on certain jobs. Throughout the process, labor and management were urged to articulate rationales and listen to explanations. Predictable arguments were initially cited, but these evolved into discussions of new approaches or considerations agreeable to both sides. In a disagreement, the IE tried to narrow differences and facilitate agreement on an intermediary value determined by timed demonstrations. The method invoked an iterative process of negotiation, converging upon the final agreement, which proved to be an interesting heuristic in general for similar mediation processes. This process of union and management coming together on issues of productivity is certainly not new and has been studied in the past. But, at a time when all transit budgets are under fire, issues such as saving jobs while reducing costs assume great importance.


Author(s):  
Anne Halvorsen ◽  
Darian Jefferson ◽  
Timon Stasko ◽  
Alla Reddy

Knowledge of the root cause(s) of delays in transit networks has obvious value; it can be used to direct resources toward mitigation efforts and measure the effectiveness of those efforts. However, delays with indirect causes can be difficult to attribute, and may be assigned to broad categories that indicate “overcrowding,” incorrectly naming heavy ridership, train congestion, or both, as the cause. This paper describes a methodology to improve such incident assignments using historical train movement and incident data to determine if there is a root-cause incident responsible for the delay. It is intended as first step toward improved, data-driven delay recording to help time-strapped dispatchers investigate incident impacts. This methodology considers a train’s previous trip and when it arrived at the terminal to begin its next trip, as well as en route running times and dwell times. If the largest source of delay can be traced to a specific incident, that incident is suggested as the cause. For New York City Transit (NYCT), this methodology reassigns about 7% of trains originally without a root cause identified by dispatchers. Its results are provided to NYCT’s Rail Control Center staff via automated daily reports which, along with other improvements to delay recording procedures, has reduced these “overcrowding” categories from making up 38% of all delays in early 2018 to only 28% in 2019. The results confirm both that it is possible to improve delay cause diagnoses with algorithms and that there are delays for which both humans and algorithms find it difficult to determine a cause.


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