Understanding Differences in Public Transit: Comparison of Boston and Toronto

Author(s):  
Paul Schimek

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.

2015 ◽  
Vol 2531 (1) ◽  
pp. 170-179 ◽  
Author(s):  
Alex Karner ◽  
Aaron Golub

Understanding the equity effects of transit service changes requires good information about the demographics of transit ridership. Onboard survey data and census data can be used to estimate equity effects, although there is no clear reason to conclude that these two sources will lead to the same findings. Guidance from the FTA recommends the use of either of these data sources to estimate equity impacts. This study made a direct comparison of the two methods for the public transit system in the Phoenix, Arizona, metropolitan area. The results indicated that although both sources were acceptable for FTA compliance, the use of one or the other could affect whether a proposed service change was deemed equitable. In other words, the outcome of a service change equity analysis could differ as a result of the data source used. To ensure the integrity and meaning of such analyses, FTA should recommend the collection and use of ridership data for conducting service change analyses to supplement approaches that are based on census data.


2000 ◽  
Vol 1735 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Brian D. Taylor ◽  
Mark Garrett ◽  
Hiroyuki Iseki

The cost of producing public-transit service is not uniform but varies by trip type (e.g., local or express), trip length, time of travel, and direction of travel, among other factors. However, the models employed by public-transit operators to estimate costs typically do not account for this variation. The exclusion of cost variability in most transit-cost-allocation models has long been noted in the literature, particularly with respect to time-of-day variations in costs. This analysis addresses many of the limitations of cost-allocation models typically used in practice by developing a set of models that account for marginal variations in vehicle-passenger capacity, capital costs, and time-of-day costs. FY 1994 capital and operating data are used for the Los Angeles Metropolitan Transportation Authority (MTA). This analysis is unique in that it combines a number of previously and separately proposed improvements to cost-allocation models. In comparison with the model currently used by the Los Angeles MTA, it was found that the models developed for this analysis estimate ( a) higher peak costs and off-peak costs, ( b) significant cost variation by mode, and ( c) lower costs for incremental additions in service. The focus is on the limitations of the rudimentary cost-allocation models employed by most transit operators and not on the Los Angeles MTA per se. This analysis found that an array of factors addressed separately in the literature can be incorporated simultaneously and practically into a usable cost-allocation model to provide transit systems with far better information about the highly variable costs of producing service.


Author(s):  
Stephanie Pollack ◽  
Anna Gartsman ◽  
Timothy Reardon ◽  
Meghna Hari

The American Public Transportation Association's use of a “land use multiplier” as part of its methodology for calculating greenhouse gas reduction from transit has increased interest in methodologies that quantify the impact of transit systems on land use and vehicle miles traveled. Such transit leverage, however, is frequently evaluated for urbanized areas, although transit systems serve only a small proportion of those areas. If transit leverage is stronger in areas closer to transit stations, studies based on larger geographies may underestimate land use and travel behavior effects in transit-served areas. A geographic information system–based data set was developed to understand better the leverage effects associated with the mature and extensive Massachusetts Bay Transportation Authority transit system in areas proximate to its stations throughout Metropolitan Boston. The region was divided into the subregion that was transit-proximate (within a half mile of a rapid transit station or key bus route), the portion that was commuter rail–proximate, and the remaining 93.3% of the region that was not proximate to high-frequency transit. Households in the transit-proximate subregion were significantly more likely to commute by transit (and walking or biking), less likely to own a car, and drove fewer miles than households in the non-transit-served areas of the region. Commuter rail–proximate areas, although denser than the region as a whole, exhibited more driving and car ownership than regional averages. Given these spatial and modal variations, future efforts to understand transit leverage should separately evaluate land use and travel effects by mode and proximity to transit stations.


2005 ◽  
Vol 32 (2) ◽  
pp. 163-178 ◽  
Author(s):  
Changshan Wu ◽  
Alan T Murray

Public transit service is a promising travel mode because of its potential to address urban sustainability. However, current ridership of public transit is very low in most urban regions—particularly those in the United States. Low transit ridership can be attributed to many factors, among which poor service quality is key. Transit service quality may potentially be improved by decreasing the number of service stops, but this would be likely to reduce access coverage. Improving transit service quality while maintaining adequate access coverage is a challenge facing public transit agencies. In this paper we propose a multiple-route, maximal covering/shortest-path model to address the trade-off between public transit service quality and access coverage in an established bus-based transit system. The model is applied to routes in Columbus, Ohio. Results show that it is possible to improve transit service quality by eliminating redundant or underutilized service stops.


Author(s):  
Bhat Omair Bashir

Cable-propelled transit’ (CPT), in particular detachable aerial ropeways are widely employed as transportation systems in alpine areas. In recent years, these transport systems have also been increasingly used in urban areas and are no longer a niche public transportation technology (Hoffmann 2006, Alshalalfah, Shalaby, and Dale 2014). Cable cars systems compete with performance characteristics of other more common urban transport technologies and have the potential to enhance the existing transport provision in cities (O'Connor and Dale 2011). While many applications can be found as transportation systems in airport facilities, and to provide access to tourist attractions, several metropolitan areas have even incorporated gondolas and aerial tramways into their public transport networks. This paper focuses on aerial ropeway systems that operate as a mass transit service (similar to buses, BRT, LRT, etc.) and are part of the public transit systems in their respective cities. Therefore, the analysis and case studies presented in the paper concern systems that are used as a public transit service


mSystems ◽  
2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Tiffany Hsu ◽  
Regina Joice ◽  
Jose Vallarino ◽  
Galeb Abu-Ali ◽  
Erica M. Hartmann ◽  
...  

ABSTRACT Mass transit environments, specifically, urban subways, are distinct microbial environments with high occupant densities, diversities, and turnovers, and they are thus especially relevant to public health. Despite this, only three culture-independent subway studies have been performed, all since 2013 and all with widely differing designs and conclusions. In this study, we profiled the Boston subway system, which provides 238 million trips per year overseen by the Massachusetts Bay Transportation Authority (MBTA). This yielded the first high-precision microbial survey of a variety of surfaces, ridership environments, and microbiological functions (including tests for potential pathogenicity) in a mass transit environment. Characterizing microbial profiles for multiple transit systems will become increasingly important for biosurveillance of antibiotic resistance genes or pathogens, which can be early indicators for outbreak or sanitation events. Understanding how human contact, materials, and the environment affect microbial profiles may eventually allow us to rationally design public spaces to sustain our health in the presence of microbial reservoirs. Public transit systems are ideal for studying the urban microbiome and interindividual community transfer. In this study, we used 16S amplicon and shotgun metagenomic sequencing to profile microbial communities on multiple transit surfaces across train lines and stations in the Boston metropolitan transit system. The greatest determinant of microbial community structure was the transit surface type. In contrast, little variation was observed between geographically distinct train lines and stations serving different demographics. All surfaces were dominated by human skin and oral commensals such as Propionibacterium, Corynebacterium, Staphylococcus, and Streptococcus. The detected taxa not associated with humans included generalists from alphaproteobacteria, which were especially abundant on outdoor touchscreens. Shotgun metagenomics further identified viral and eukaryotic microbes, including Propionibacterium phage and Malassezia globosa. Functional profiling showed that Propionibacterium acnes pathways such as propionate production and porphyrin synthesis were enriched on train holding surfaces (holds), while electron transport chain components for aerobic respiration were enriched on touchscreens and seats. Lastly, the transit environment was not found to be a reservoir of antimicrobial resistance and virulence genes. Our results suggest that microbial communities on transit surfaces are maintained from a metapopulation of human skin commensals and environmental generalists, with enrichments corresponding to local interactions with the human body and environmental exposures. IMPORTANCE Mass transit environments, specifically, urban subways, are distinct microbial environments with high occupant densities, diversities, and turnovers, and they are thus especially relevant to public health. Despite this, only three culture-independent subway studies have been performed, all since 2013 and all with widely differing designs and conclusions. In this study, we profiled the Boston subway system, which provides 238 million trips per year overseen by the Massachusetts Bay Transportation Authority (MBTA). This yielded the first high-precision microbial survey of a variety of surfaces, ridership environments, and microbiological functions (including tests for potential pathogenicity) in a mass transit environment. Characterizing microbial profiles for multiple transit systems will become increasingly important for biosurveillance of antibiotic resistance genes or pathogens, which can be early indicators for outbreak or sanitation events. Understanding how human contact, materials, and the environment affect microbial profiles may eventually allow us to rationally design public spaces to sustain our health in the presence of microbial reservoirs. Author Video: An author video summary of this article is available.


2014 ◽  
Vol 104 (9) ◽  
pp. 2763-2796 ◽  
Author(s):  
Michael L. Anderson

Public transit accounts for 1 percent of US passenger miles traveled but attracts strong public support. Using a simple choice model, we predict that transit riders are likely to be individuals who commute along routes with severe roadway delays. These individuals' choices thus have high marginal impacts on congestion. We test this prediction with data from a strike in 2003 by Los Angeles transit workers. Estimating a regression discontinuity design, we find that average highway delay increases 47 percent when transit service ceases. We find that the net benefits of transit systems appear to be much larger than previously believed. (JEL H76, J52, L92, R41)


Author(s):  
Sida Luo ◽  
Yu (Marco) Nie

This paper analyzes the design problem of a paired-line hybrid transit system in a monocentric city with a densely populated central business district (CBD). The trip production rate is assumed to decrease exponentially with increasing distance from the city center. As to the trip distribution, two different areas, the CBD and the rest of the city, are identified. Trips ending in each area are homogeneously distributed within that area but their proportions in the total trips are distinctive to model the heterogeneity in trip distribution. To address the challenge of estimating system costs analytically under the above exponential demand pattern, new approximation methods are proposed and validated using a Monte Carlo simulation. Results of numerical experiments show that the exponential demand pattern helps reduce the cost of paired-line hybrid transit systems in monocentric cities, with a saving up to 20% when both the trip production and distribution are heavily concentrated in the CBD. Furthermore, strong quadratic/linear relationships are found between the parameters controling demand concentration level and the system cost. The proposed model can guide the design of hybrid transit systems in monocentric cities with a demand pattern similarly structured as considered in this study.


Author(s):  
Russell H. Henk ◽  
Sarah M. Hubbard

The procedures and results associated with the development of an index of transit service availability are summarized. This index uses the factors that most effectively quantify the availability of public transit service (both bus and rail) in an urban area at a macroscopic planning level. The factors that are included in the index are based on FTA Section 15 data and information from the 1990 census. The development of the index involved the application of more than 30 prospective measures of transit service availability to 228 urban area transit systems throughout the United States. The index uses three measures that quantify transit service coverage, frequency of transit service, and transit system capacity. The index is designed to serve as a planning tool and was specifically developed to facilitate the comparison of transit service availability between urban areas with similar demographics and allow transit systems to examine service availability over time. The index is not intended for use in assessing transit system efficiency or performance.


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