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The purpose of this paper is to investigate the factors that influence the behavioral intention (BI) of paratransit passengers in three major cities in Indonesia, namely Bandung, Medan, and Surabaya. More specifically, this paper will examine the relationship between the BI and other factors, including satisfaction (SAT), perceived sacrifice (SAC), perceived value (PV), service quality (SQ), and frequency of usage.

The empirical data were collected through a survey with 264 respondents. Structural equation modeling was employed to test the proposed hypotheses.

SQ affects word-of-mouth (WOM) of paratransit passengers directly and indirectly through PV. However, SQ has no statistically significant direct effects on repurchase intention. SAC is proved to affect WOM and repurchase intention of paratransit passengers indirectly via PV. In addition, it is also found that SAT and frequency of usage have no statistically significant effect on WOM and repurchase intention of paratransit passengers.

The data collection using convenience sampling method as well as the use of small sample size caused the limitation of the research results in representing across all paratransit passengers in the three cities where the research was conducted in. This study can be replicated with larger sample size in order to examine the stability of the results in other contexts.

The research results shows that sacrifice, SQ, and PV affect the BI of paratransit passengers. Thus, the management of paratransit service provider should consider and manage all of these factors proactively.

The paper has established a BI model of public transport passengers that can help organizations to manage the formation of BI of their passengers. The model has some novelties, which are first, the model includes frequency of usage, second, it uses BI as a multidimensional construct, consisting of repurchase intention and WOM, rather than a single dimensional construct, and third, it also includes the direct relationship between SAC and BI (repurchase intention and WOM).

The purpose of this paper is to test a model of service quality of public land transport services, especially paratransit services.

This study used quantitative approach. Data were collected through a survey method using questionnaire. The respondents of the study are 880 passengers of paratransit services in Indonesia. Exploratory factor analysis and confirmatory factor analysis were performed in order to identify the dimensions of service quality and test the convergent and discriminant validity of the dimensions. Cronbach’s α analysis was carried out to test the reliability of the dimensions. In addition, criterion-based validity and the stability of the service quality model were also tested.

A model of service quality of public land transport, namely P-TRANSQUAL, was tested. P-TRANSQUAL consists of four dimensions, which are comfort, tangible, personnel, and reliability. The model has been proven to have good validity, reliability, and stability for measuring service quality of paratransit services in Indonesia.

This research was carried out in a single developing country, namely Indonesia. Hence, the stability of the model needs to be tested in different cultures.

Public transport managers can use P-TRANSQUAL to monitor, measure, and improve the service quality of the public transport they manage.

This paper has tested a new model of service quality for public transport services, especially paratransit services.

The purpose of this paper is to find ways to develop more efficient mass transit systems across the USA and, thus, make the best use of state/federal/municipal government funds and taxpayers’ monies. This paper conducts benchmarking studies. In doing so, this paper identifies the best-in class mass transit practices that every regional mass transit system can emulate.

The continuous underutilization of a mass transit system can increase public scrutiny concerning the increased investment in mass transit services. To defuse such scrutiny, this paper analyzes the past (in year 2011) performances of 515 mass transit agencies in the USA using data envelopment analysis (DEA). Also, to identify which factors influences those performances, the authors paired DEA scores for transit efficiency at the state level against a set of independent variables using a special form of regression analysis called Tobit regression.

The authors found that the greater population density of the service area, the greater number of riders can be served in a short amount of distance and time. Also, the authors discovered that the transportation mode of mass transit services could affect mass transit efficiency. On the other hand, the authors found no evidence indicating that the public ownership or private operation of transit systems could make any differences in the transit efficiency.

This paper is one of the few that assessed the performance of mass transit systems in comparison to their peers using a large-scale data and identify the leading causes of mass transit inefficiency. Thus, this paper helps transit authorities in handling juggling acts of protecting the conflicting interests of government policy makers against the general public and, then, make sensible future investment decisions.

With the growing preference of the generation of ageing baby boomers to age in place, mobility has played an increasingly important role in their continued physical and mental well-being. As older adults drive less, their ability to travel freely where and when they desire becomes increasingly limited. Consequences of this include the cessation of various activities and services that are necessary for daily living. Transportation immobility is known to negatively impact the quality of life through physical, mental, and social isolation. For any initiative or policy to be put in place, an assessment of the current state of transportation services, specifically for older adults, needs to be carried out. The purpose of this paper is to assess the access to public transit in the Greater Lansing, Michigan region, which has a population density of about 2,042 people per square kilometre, available to ageing adults, especially when they have to stop driving.

The study uses a spatial approach through the use of geographical information systems to assess the transit infrastructure available for use by older adults in the Greater Lansing region.

This paper finds a considerable gap in available options and that some of these can be addressed by quite simple actions and initiatives.

Because the data were drawn from the US Census, the spatial analysis is limited to block-level data. The US Census (2011) defines blocks as “statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads”. More detailed geographical data would have enabled a more comprehensive analysis.

This study area is typical of many small towns in the USA and underlines the need for more policy- and community-led transit initiatives to address this critical barrier to optimal ageing.

This paper fulfils an identified need to study the transit infrastructure of a range of urban areas and ascertain whether it currently fulfils mobility needs of older adults who do not drive.

This research investigates factors affecting the intention to sort waste. Specifically, this research aims to develop a waste-sorting intention model by extending the theory of planned behavior (TPB) model and to test the model to ensure the model's goodness-of-fit, validity and reliability.

This research used a quantitative research methodology. Data were collected from 460 respondents using an online questionnaire. Some statistical analyses were performed to analyze the data: descriptive statistics, factor analysis, confirmatory factor analysis-structural equation modeling (CFA-SEM), SEM and Cronbach's alpha analysis.

The result shows that the intention to sort waste was directly affected by attitude, subjective norms, perceived behavioral control (PBC), moral obligation and facility support. Environmental concerns, waste-sorting knowledge and time availability indirectly influenced the intention to sort waste. The testing indicated that the proposed model was fit, valid and reliable.

The model provides a more comprehensive understanding of waste-sorting intention. The central and local governments can use the results to encourage waste-sorting intention in the community.

This research is believed to be the first study to develop and test the waste-sorting intention model that extends the TPB model by incorporating moral obligation, facility support, policy and regulation support, environmental concerns, waste-sorting knowledge and time availability into the traditional TPB model.

The objective of this study is to understand the institutional dynamics of the public transport system in Jaipur. The institutional dynamics of the public transport system includes an understanding of the role of the formal and informal institutions (i.e. the actors) and the relationship between the public bus, external and private city bus operators.

The research methodology to achieve the objectives of the study included an institutional mapping method to develop an in-depth understanding of the existing institutional framework for the public transport, secondary data and primary survey processed through focused interviews of Jaipur City Transport Services Limited (JCTSL) and the Regional Transport Office (RTO) officials, representatives of the external operator, drivers and conductors’ union and private city bus service operators. The cooperation level between these organizations was measured on a five-point Likert scale.

The study indicated significant issues: poor cooperation levels between JCTSL and the RTO; the absence of a horizontal relationship between JCTSL and the RTO; conflict of powers, the competition of public and private minibus service; delays in smart city projects; absence of an integrated transport authority.

In the Indian context, this study can help other Indian cities which are facing similar problems due to the fragmented institutional framework for public transport services and financial losses to the public bus operators due to the direct competition from paratransit or private bus services.

The purpose of this paper is to estimate and compare the service quality of the city bus service measured by two different approaches which are subjective service quality dimensions and objective service quality dimensions.

The objective service quality dimensions have been estimated based on the benchmarking technique provided by the Ministry of Urban Development, India. For the analysis of subjective service quality dimensions, a questionnaire survey has been conducted to measure the users’ satisfaction and dissatisfaction about the service. The questionnaire consists of users’ socioeconomic characteristics and 23 questions related to city bus service quality dimensions. Questionnaire data have been analyzed by factor analysis, regression analysis and path analysis to find out the indicators representing subjective service quality dimensions. Finally, the overall service quality of the bus service has been determined based on both the measures.

The study indicates that the overall service quality of the bus service is different for subjective and objective analyses. While the objective measures show that the service quality is very good, the subjective measures indicate that the service is not doing well.

The analysis of the subjective dimensions is complicated. Analysis of the subjective dimensions needed more expertise and resources than the objective analysis.

In this study, the estimated service quality of the bus service is more reliable than the other methods as it comprises of both operators’ perspective and passengers’ expectations from the service.

As increasing numbers of people with disabilities return to the community, it is necessary to equip them with skills to succeed in this technological world. The purpose of this paper is to evaluate the effect of attendance, satisfaction, goal achievement, and transportation on a goals-based computer-training program for people with physical disabilities (n=130).

Regressions, distribution comparisons, and correlations were retrospectively conducted on data from a computer-training program for people with disabilities. Participants were aged 20-100 and were diverse in terms of education, diagnoses, and living situation.

Results indicated that people with physical disabilities from diverse demographic and -contextual backgrounds could participate in a goals-based computer-training program. Factors that affected the computer-training program included method of transportation (p=0.034), perception of goal achievement (p=0.000), and attendance rates (p=0.001). A strong correlation was found between support available for computer use and continued computer use (p=0.000).

Goals-based computer-training approaches that are client-centered may lead to increased perceptions of goal achievement and program satisfaction for people with disabilities, which could be used as outcomes to monitor success of such programs. It is also important to consider the effect of transportation and attendance rates on computer-training programs. However, results of this study were limited by its retrospective nature.

This study provides empirical data on factors that affect goals-based computer-training programs and evidence for the efficacy of such programs for individuals with disabilities. This can be used for program development and future research.

This paper describes a benchmarking framework applied to medium-sized urban public bus agencies in the United States, which has overcome the challenges of data quality, comparability, and understanding.

The benchmarking methodology described in this paper is based on lessons learned through seven years of development of a fixed-route key performance indicator (KPI) system for the American Bus Benchmarking Group (ABBG). Founded in 2011, the ABBG is a group of public medium-sized urban bus agencies that compare performance and share best practices with peers throughout the United States. The methodology is adapted from the process used within international benchmarking groups facilitated by Imperial College and consists of four main elements: peer selection, KPI system development, processes to achieve high-quality data, and processes to understand relative performance and change.

The four main elements of the ABBG benchmarking methodology consist of 18 subelements, which when applied overcome three main benchmarking challenges: comparability, data quality, and understanding. While serving as examples for the methodology elements, the paper provides specific insights into service characteristics and performance among ABBG agencies.

The benchmarking approach described in this paper requires time and commitment and thus is most suitably applied to a concise group of agencies.

This methodology provides transit agencies, authorities, and benchmarking practitioners a framework for effective benchmarking. It will lead to high-quality comparable data and a strong understanding of the performance context to serve as a basis for organizational changes, whether for policy, planning, operations, stakeholder communication, or program development.

The methodology, while consistent with recommendations from literature, is unique in its scale, in-depth validation and analysis, and holistic and multidimensional approach.

This research aims to develop an index for measuring Indonesian quality label awareness among motorcycle helmet users. The index measures quality label awareness and its antecedent variables, which are the variables that represent marketing effort on promoting the quality label.

The indicators of the index were derived from a literature review. A survey was performed. The respondents are 487 motorcycle drivers and passengers helmet users in Jakarta. The authors conducted some statistical analyses, namely, exploratory factor analysis, Cronbach’s α analysis, and multiple regression analysis.

A quality label awareness index was developed and tested. The index consists of quality label awareness and its determinants. The determinants are label marketing clarity and label marketing credibility. The research result showed that the index is valid and reliable.

The authors performed the survey only at Jakarta using convenience sampling technique. Thus, the findings may not be generalized to other contexts. Given this, replication research is important to be performed in the future in order to test the stability of the findings in other contexts.

The index can be used to evaluate the effectiveness of quality label and quality label marketing programs.

This study is believed to be the first to develop and test consumers' quality label awareness index.