Operating Costs and Performance of American Public Transit Systems

1979 ◽  
Vol 45 (1) ◽  
pp. 22-27 ◽  
Author(s):  
James E Sale ◽  
Bryan Green
Keyword(s):  
Public Transit ◽  
Operating Costs ◽  
Transit Systems ◽  
And Performance

Understanding Differences in Public Transit: Comparison of Boston and Toronto

1997 ◽  
Vol 1604 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Paul Schimek
Keyword(s):  
Population Density ◽  
Public Transit ◽  
Operating Costs ◽  
Level Of Service ◽  
Massachusetts Bay ◽  
Transit System ◽  
Transit Systems ◽  
Transit Service ◽  
American Cities ◽  
The City

Public transit systems in Toronto and Boston, two North American cities of similar size and income, are compared. Although Boston has a reputation as a transit-oriented city, there are about twice as many public transit trips in Toronto. Transit service in Toronto runs, on average, twice as frequently as service in Boston on a network of similar size. This level of service can be supported in part because population density does not decrease as much with increasing distance from the center of the city and because employment is more centralized. The transit system in Boston is constrained from emulating the Toronto transit system not only by a less transit-favorable distribution of population and employment but also by operating costs that are twice as high. The Massachusetts Bay Transit Authority’s higher costs are the result of more fringe benefits for employees and disproportionately more managers and fixed facilities.

Impact of Automated Vehicles on Optimal Demand-Responsive Feeder Transit Network Design

2021 ◽  
Vol 2 (1) ◽  
pp. 84-100
Author(s):  
Amirreza Nickkar ◽  
Young-Jae Lee ◽  
Seyedehsan Dadvar
Keyword(s):  
Economic Benefits ◽  
Operating Costs ◽  
Transit Systems ◽  
Travel Costs ◽  
Bus Routing ◽  
Routing Optimization ◽  
Passenger Travel ◽  
Feeder Bus ◽  
Feeder Transit ◽  
Transit Network Design

This article aims to examine the economic benefits of automating flexible demand responsive feeder transit systems using a developed feeder bus routing optimization algorithm. The objective function of the algorithm is to minimize total passengers' and operating costs of the system. The results showed that when unit operating costs decline, total operating costs, and total costs obviously decline. Furthermore, when unit operating costs decline, the average passenger travel distance and total passenger travel costs decline while the ratio of total operating costs per unit operating costs increases. That means if unit operating costs decrease, the portion of passenger travel costs in the total costs increases, and the optimization process tends to reduce passenger costs more while reducing total costs. Assuming that automation of the vehicles reduces the operating costs, it will reduce not only total operating costs and total costs, but also total passenger travel costs.

Securing Public Transit Systems

2015 ◽  
pp. 149-175
Author(s):  
Martin Wachs ◽  
Camille N.Y. Fink ◽  
Anastasia Loukaitou-Sideris ◽  
Brian D. Taylor
Keyword(s):  
Public Transit ◽  
Transit Systems

Applications of FTA National Transit Data Base for the Intermodal Surface Transportation Efficiency Act Management System Requirements

1996 ◽  
Vol 1521 (1) ◽  
pp. 45-48
Author(s):  
William M. Lyons ◽  
John Collura ◽  
Sean Libberton ◽  
Paul Branch
Keyword(s):  
Data Base ◽  
Public Transportation ◽  
Management System ◽  
Planning Process ◽  
Management Systems ◽  
Transit Systems ◽  
Multimodal Transportation ◽  
Metropolitan Planning ◽  
Surface Transportation ◽  
And Performance

The Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA) requires states in conjunction with metropolitan planning organizations (MPOs) to develop, establish, and implement several systems to better manage and improve the efficiency of transportation infrastructure. Among other things, the National Highway System Designation Act of 1995 allows states not to implement one or more of the ISTEA management systems. Although the management systems are now optional, FHWA and FTA continue to believe that the management and monitoring of the performance and condition of the multimodal transportation system should remain an important element of statewide and metropolitan planning. How FTA's National Transit Data Base (NTD) can provide an important source of information as agencies develop the ISTEA management systems or similar mechanisms for managing and monitoring transit facilities and equipment is analyzed. NTD, which contains information on the financial and nonfinancial operations, system performance, and equipment of national public transit systems, is used primarily by transit operators and others in the transit industry. How NTD can contribute to development and operations of the Public Transportation Management System as well as the Congestion and other management systems is discussed. Development of applications for ISTEA management systems, or for similar planning tools, broadens applications of NTD beyond its transit customer base to aid states and MPOs. By contributing comprehensive transit data to systems for managing and monitoring condition and performance of multimodal transportation, NTD can improve representation of transit needs and performance in the ISTEA planning process.

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