Factors Affecting Workforce Resilience in Public Transportation Agencies

2021 ◽  
Vol 37 (4) ◽  
pp. 04021018
Author(s):  
Kristal Metro ◽  
Christofer Harper ◽  
Susan M. Bogus
Keyword(s):  
Public Transportation ◽  
Factors Affecting ◽  
Transportation Agencies

The Youth Pass

2017 ◽  
Vol 2652 (1) ◽  
pp. 116-123 ◽  
Author(s):  
Ian Thistle ◽  
Laurel Paget-Seekins
Keyword(s):  
Low Income ◽  
Public Transportation ◽  
Attrition Rate ◽  
Massachusetts Bay ◽  
Local Municipalities ◽  
Pass Program ◽  
Transit Agencies ◽  
To Receive ◽  
Transportation Agencies ◽  
Adequate Data

Public transportation agencies provide reduced fares to seniors, students, and disabled people, but only infrequently provide discounts to low-income members of the general population. A major reason for this is that it is difficult and labor-intensive for transit agencies to determine who is of low income. To address societal need and pilot the feasibility of such a program, the Massachusetts Bay Transportation Authority (MBTA) piloted a program for young people who were unable to receive reduced fares in another way. The MBTA partnered with local municipalities, and applicants proved their eligibility for the program through partner offices. The research requirements in the program provided adequate data to evaluate the effects of the program, but the requirements themselves negatively affected participation and attrition in the pilot. The ways the research affected participation are explored in detail, particularly the attrition rate of subjects throughout the study. It was found that the research requirements disproportionately affected those of very low income as well as African-American and Hispanic participants. Using the data from the pilot, the MBTA decided to implement a full youth pass program benefiting those populations without the barriers of the pilot.

scholarly journals Study on level-of-service for urban rail transit passages from the passenger perspective

2021 ◽  
Vol 283 ◽  
pp. 02041
Author(s):  
Yibing Chen ◽  
Xiao Liang ◽  
Yizhuo Fu
Keyword(s):  
Public Transportation ◽  
Orthogonal Experiment ◽  
Reliability And Validity ◽  
Service Level ◽  
Urban Rail Transit ◽  
Classification Method ◽  
Rail Transit ◽  
Factors Affecting ◽  
Passenger Satisfaction ◽  
Urban Rail

With the acceleration of urbanization and the shortage of transportation resources in large cities, urban rail transit has gradually become the backbone of urban public transportation system. In order to improve the service level of urban rail transit, this paper studies the factors influencing the service level of subway station passages and the classification method based on the passenger-perception method. Through investigation and research, the passage service level evaluation indicators (width, walking time, per capita area, illumination intensity and guide signage) have been determined. Based on orthogonal experiment, 3ds max was used to set up 25 passage scenes with different parameters from passengers' perspective. A passenger satisfaction questionnaire was designed and distributed, the reliability and validity of the questionnaire were tested to ensure the validity of the data. And based on the factor analysis method, the factors affecting passenger perception are analyzed. A well-fitting model of the relationship between passenger scores and passage parameters is established, and the passenger scores are converted into service levels. Finally, a service level classification method is given, which can provide reference for the service level evaluation of existing stations and the design of physical attributes and environmental factors of new station passages.

scholarly journals Estimating Cost Savings of Coordinating Regional Non-Emergency Human Transport Services

2010 ◽  
Author(s):  
Ryoichi Sakano ◽  
Julian Benjamin
Keyword(s):  
Public Transportation ◽  
Local Community ◽  
Operating Cost ◽  
Cost Savings ◽  
Transportation Systems ◽  
Transportation Services ◽  
Transport Services ◽  
Transportation Agencies ◽  
Human Transport ◽  
Current Operating

Local public transportation agencies provide a nonemergency human transport service to nearby hospitals and doctors' offices. Some users require specialized medical services at a hospital located out of the normal service area. In the Piedmont/Triad region of North Carolina, the Piedmont Authority for Regional Transportation (PART) began PART Connections in April 2004, to provide two daily transportation services between the Piedmont/Triad area and the UNC/Duke medical areas. Using current operating cost data of participating transportation systems, round-trip costs to the UNC/Duke medical areas from each county and to the nearest PART Connections stop are estimated. Given the actual number of passengers served by PART Connections during the first nine-month period of the service, the net saving in the operating cost by participating PART Connections is estimated for each system. Then, the total service hours saved by using PART Connections are estimated for each system, and are used to estimate the number of additional passengers served within the system. It is estimated that PART Connections could provide a net saving of $38,000 on operation expenses annually to the participating four county transportation systems. More importantly, PART Connections would enable the four county systems to provide more than 10,000 additional passenger trips within each county annually, by using the saved resources. In addition, 12 local community transportation providers in 15 western counties of the Piedmont/Triad region, which currently do not participate in PART Connections, are estimated to save a modest $9,600 in total annually, by using PART Connections.

The Billionaire’s Ambitions

Last Subway ◽  
2020 ◽  
pp. 49-72
Author(s):  
Philip Mark Plotch
Keyword(s):  
New York ◽  
New York City ◽  
Public Transportation ◽  
York City ◽  
Transportation Network ◽  
East Side ◽  
Legislative Session ◽  
Transportation Agencies ◽  
The City ◽  
Grand Vision

This chapter assesses the roles played by New York governor Nelson Rockefeller and New York City mayor John Lindsay, as well as William Ronan, in transforming the transportation system. Ronan, Rockefeller, and Lindsay all realized that improving public transportation was critical to strengthening the economy of the city and the region. They were also well aware of the benefits of a Second Avenue subway, since all three of them lived on the Upper East Side. After Lindsay failed to reorganize the transportation agencies, Rockefeller and Ronan developed their own grand vision for the region's transportation network, and in December of 1966, Ronan stepped down from his post as secretary to begin implementing their plan. At the beginning of the state's 1967 legislative session, Rockefeller and Ronan announced their two-pronged approach. First, they proposed integrating the New York City Transit Authority and the Triborough Bridge and Tunnel Authority (TBTA) into the Metropolitan Commuter Transportation Authority (MCTA). In addition, Rockefeller and Ronan would seek voter approval to borrow $2.5 billion that would be dedicated for roadway and public transportation improvements across the state. In 1967, the governor and Ronan obtained the support they needed to transform the transportation network, a feat that Lindsay had not been able to accomplish.

scholarly journals Impact of Socioeconomic Inequalities on the Spread of COVID-19

2021 ◽  
Author(s):  
Alpay Arı ◽  
Hülya Özdemir ◽  
Fatmanur Kabadurmus ◽  
Selma Tosun ◽  
Durmuş Özdemir
Keyword(s):  
Public Transportation ◽  
Social Inequalities ◽  
Probit Model ◽  
University Education ◽  
Economic Factors ◽  
Economic Variables ◽  
Factors Affecting ◽  
Socio Economic Variables ◽  
Binary Probit ◽  
Socio Economic Factors

Abstract BackgroundTo examine the role of medical, economic and social inequalities affecting the prevalence of COVID-19 in Turkey. MethodsThis paper clarifies the medical and socio-economic factors affecting the prevalence of COVID-19 by using clinical and survey data in a binary probit model (BPM). Socio-economic factors affect the prevalence of COVID-19 to different degrees. Socio-economic variables are associated with risk of infection and can increase exposure to and mortality from COVID-19. ResultsThe factors that increase the probability that a person will get COVID-19 are gender (males have a 9.4% higher probability), income, household work status, interacting with a COVID-19 case (31.4% higher), using public transportation (6.97% higher), and visiting a hospital (35.7% higher probability for individuals who visited a hospital) or a mosque (15.1% higher). The factors that decrease the probability of testing positive are smoking (14.3% lower for smokers), being employed, having a university education compared to no education (24.7% lower), and wearing gloves (15.4% lower). ConclusionIn the case of Turkey, the estimations of the BPM show that economic and social variables are important factors for determining COVID-19 prevalence. Inequalities in socio-economic variables affect the prevalence to different degrees. Disparities in education and poverty are more important than being employed or being a smoker for the spread of COVID-19.

scholarly journals Estimating Elasticities for Multi-Modal Public Transport Demand: A Time Series Approach

2010 ◽  
Author(s):  
Konstantina Gkritza ◽  
Ioannis Golias ◽  
Matthew G. Karlaftis
Keyword(s):  
Time Series ◽  
Public Transport ◽  
Public Transportation ◽  
Time Series Data ◽  
Transportation Systems ◽  
Seemingly Unrelated Regression ◽  
Series Data ◽  
Factors Affecting ◽  
Use Of Time ◽  
Time Series Approach

Research on the demand side of public transportation systems with the use of time series data frequently shows conflicting results with respect to fare elasticities and the factors affecting it. In this analysis we complement prior research by developing seemingly unrelated regression equation models with monthly data for a city served by three different modes of public transportation. The results indicate that, as expected, urban public transport demand in Athens, Greece, is inelastic with respect to fares but, surprisingly, highly inelastic with respect to automobile fuel cost. Further, different transit modes have significantly different fare elasticities, a finding with important practical implications.

scholarly journals Feasibility Analysis of Green Travel in Public Transportation: A Case Study of Wuhan

2020 ◽  
Vol 12 (16) ◽  
pp. 6531
Author(s):  
Junjun Zheng ◽  
Yi Cheng ◽  
Gang Ma ◽  
Xue Han ◽  
Liukai Yu
Keyword(s):  
Complex Network ◽  
Structural Equation Model ◽  
Public Transportation ◽  
Structural Equation ◽  
Equation Model ◽  
Subjective Norms ◽  
Urban Traffic ◽  
Factors Affecting ◽  
Individual Level ◽  
Behavioral Attitudes

The demand to alleviate urban traffic and reduce air pollution puts forward high requirements for green travel in public transportation. Thus, study of the feasibility of urban green travel in public transportation is necessary. This study focuses on it from two aspects: City level by complex network and individual level by structural equation model. As for the former, point of interest data on the spatial distribution of urban public transportation in Wuhan city are quantitatively analyzed. Then, a complex network of public transportation in Wuhan is constructed by using the Space L method, and the network characteristics are analyzed. Results show that accessibility coverage is mainly concentrated in the central urban area, and two significant central nodes exist, namely, Linshi and Zhaohu stations. At the individual level, 354 valid questionnaires and the structural equation model were used to explore the factors affecting individual intention of public transportation. Behavioral perceptual outcome, behavioral attitudes, and subjective norms have positive influences on the behavioral intention of public transportation, among which the behavioral attitudes are the most significant, and the subjective norms had the lowest influence. Some suggestions are proposed for Wuhan to improve urban accessibility and for individuals to increase green travel in public transportation.

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