Quality Approach to the Sustainability of Public Transport

Susnienė, Dalia

doi:10.3846/16484142.2012.668711

Cited by 32 publications

(17 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Susniene [14] employed the framework of SERQUAL model and derived the related factors to assess the bus service quality, such as reliability, tangibility, and assurance. Sezhian et al [2] adopted a discriminant analysis method to study the passengers' expectations by analyzing attribute-based perceptual mapping in a bus company in India, and the quality of bus services was measured by using 18 indicators, such as seat comfortable, cleanliness, driver behavior, stopping at correct place, and obeying traffic rules.…”

Section: Introductionmentioning

confidence: 99%

Public Transit Loyalty Modeling Considering the Effect of Passengers’ Emotional Value: A Case Study in Xiamen, China

Sun

2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

To better sustain passengers' loyalty towards bus service, this paper addressed the modeling of the public transit loyalty by the use of structural equation model. As a novel hypothesis, the emotional value was considered to have effects on the perceived value of bus services in this study, which reflected the degree of passengers' emotional dependence on the public transit. Specifically, in order to better assess the loyalty, seven unobserved variables were measured to construct the structural model, namely, "service guarantee," "operational services and efficiency," "emotional value," "perceived value," "expectation," "satisfaction," and "loyalty." The goodness-of-fit of the model was estimated and evaluated by using the survey data harvested from Xiamen, China. Besides, the index score of variables was also computed to help determine targeted approaches to better improve the level of bus service. The results indicated that the time cost and the monetary cost actually had no effects on the perceived value of users in the case study. At the same time, however, it also proved that passengers' emotional value towards the public transit indeed affected passengers' perception of the service value. In addition, whether users' perceived value was as expected determined how much passengers satisfied with the service. Regarding the index score of variables, it indicated a great dissatisfaction of passengers towards the current bus service. Unexpectedly, the score of loyalty even still retained a relatively high level, which reflected continue-to-use willingness of passengers. It implied that being subject to economic conditions and other factors, passengers were captive and had to continue relying on the public transit, in spite of their dissatisfaction. As for the improvement direction of bus services, targeted approaches should be determined to improve the quality of bus service, regarding the aspects of "condition of facilities in the bus," "driving stability and comfort," "vehicle speed," and "safety."

show abstract

Section: Introductionmentioning

confidence: 99%

Public Transit Loyalty Modeling Considering the Effect of Passengers’ Emotional Value: A Case Study in Xiamen, China

Sun

2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…Finally, this study is very good for assessing customer satisfaction with public transportation services. As stated by (Susniene, 2015) that it is important to identify the effectiveness of public transportation systems so that there is renewal in service management, increased regional coverage and increased interest in public transportation services. In the end with these improvements, the community wanted to use BRT Trans Semarang mass public transportation instead of private vehicles.…”

Section: Resultsmentioning

confidence: 99%

“…In this study the used indicators to measure environmental quality are indicators which put forward by (Zeithaml, Valarie A. Mary Jo Bitner and Dwayne D. , Bitner , & Dwayne D. , 2009), namely Reliability, Responsiveness, Assurance, Empathy, and Tangible. Similarly with the research conducted by (Susniene, 2015) that used its indicators.…”

Section: Methodsmentioning

confidence: 94%

“…Many strategic policies have been taken to foster sustainable transportation in a gradually with increasing the role of public transportation by reducing people's dependence on private vehicle transportation (O'Sullivan A, 2003). The prominence of using public transportation was also stated by (Susniene, 2015) which said that the benefits of public transportation will be able to increase people's mobility, reduce dependence on cars and reduce the negative impacts of pollution that will have an seriously impact on health while reducing the consequences of widening roads.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Willingness To Pay For Improving The Quality Of Public Transportation

Pujiati

Nihayah

Bowo

et al. 2019

jejak

View full text Add to dashboard Cite

This study aims to know the magnitude of the estimated average value of willingness to pay service users BRT Trans Semarang to improve the service quality and to know the change of the desired service quality improvement from the users of BRT Trans Semarang. Quantitative descriptive research approach with Contingent Valuation Method (CVM) is used to analysis the data from 100 respondents. Sampling techniques are carried out by means of purposive random sampling. The finding shows that the magnitude of the average value of willingness to pay IDR. 4,000 and quality service that needs to be fixed are a convenient bus stop placement, more emphasis on user safety, timeliness the potential as well as the necessity to depart and the priority age of BRT users. Government can review back the tariff policy of BRT Trans Semarang set appropriate response from the respondents because the estimated average value of WTP can be the basic reference point for setting the rates and can improve the quality of service to make it more adequate so that users feel at ease when using the BRT Trans Semarang

show abstract

“…In our days, the conscious transport planning and decision making is expected (Susniené, 2012;Török et al, 2012;Meszaros and Torok 2014). Growing traffic demands together with the increasing motorization induce the continuous maintenance and development of road traffic control systems.…”

Section: Introductionmentioning

confidence: 99%

Iterative Calibration Method for Microscopic Road Traffic Simulators

Tettamanti

Milacski

Lörincz

et al. 2014

Per. Pol. Transp. Eng.

View full text Add to dashboard Cite

Recently, computer simulation aided work has become a standard routine in all engineering fields. Accordingly, simulation plays a fundamental role even in road traffic engineering. A reliable simulator is able to provide effective analysis of a given traffic network if the applied simulation scenarios properly converge to the real-word situation. This requirement can be achieved based on the mixed use of prior real-world traffic measurements and proper simulation settings. The latter one, however, is not straightforward. Accordingly, the paper investigates a potential calibration technique to create realistic simulations. Basically, a tuning method with genetic algorithm is proposed to reproduce true-to-life traffic based on floating car speed data. IntroductionIn our days, the conscious transport planning and decision making is expected (Susniené, 2012;Török et al., 2012;Meszaros and Torok 2014). Growing traffic demands together with the increasing motorization induce the continuous maintenance and development of road traffic control systems. In parallel, microscopic road traffic simulators forms an integral part of practical traffic engineering (Yurshevich and Yatskiv, 2014;Kollár, 2014). Appropriate traffic simulations constitute the preparatory working stage in such engineering tasks. Moreover, the applied ITS (intelligent transportation systems) solutions also require the appropriate traffic simulation based analysis. As a consequence, traffic simulators are more and more expected during both the development process and the validation phase as well.On the other hand, the proper use of simulators is also important in order to avoid false results. Namely, beside the several advantages of computer based traffic modeling, simulators also contain the danger of providing erroneous results in case of inappropriate simulation settings in the scenarios. Accordingly, calibration of simulation parameters is expected. Numerous researches have been conducted in this field providing efficient methods to optimize the most important settings, such as travel times, driving behavior parameters, saturation flow rates, etc. These parameters are mostly microscopic variables which can be successfully tuned based on the existing research results, e.g. Columbia River Crossing (2006); Park and Schneeberger (2003);Cunha et al. (2009).Contrary to the foregoing, in this paper, we focus on the tuning of a macroscopic variable exclusively: the traffic demand which is one of the most important network parameter in the microscopic simulation (represented by the intensity of vehicle sources in the simulator). Based on manual or detector measurement (if they are available), traffic demands can be appropriately estimated and therefore set in the simulation scenarios. However, in our days, the booming penetration of floating car data (FCD) creates a different approach. If real-world FCD is available from the road network to model, the average link speeds can be calculated, thus the traffic demand parameters can be efficiently calibrated.

show abstract

Quality Approach to the Sustainability of Public Transport

Cited by 32 publications

References 49 publications

Public Transit Loyalty Modeling Considering the Effect of Passengers’ Emotional Value: A Case Study in Xiamen, China

Public Transit Loyalty Modeling Considering the Effect of Passengers’ Emotional Value: A Case Study in Xiamen, China

Willingness To Pay For Improving The Quality Of Public Transportation

Iterative Calibration Method for Microscopic Road Traffic Simulators

Contact Info

Product

Resources

About