scholarly journals Modeling the Satisfaction of Bus Traffic Transfer Service Quality at a High-Speed Railway Station

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaoyun Cheng ◽  
Yu Cao ◽  
Kun Huang ◽  
Yuejiao Wang

Bus transit is one of the main transfer modes at high-speed railway (HSR) stations. Performing a scientific and reasonable evaluation of the present bus traffic transfer service is highly significant for improving the efficiency of the HSR and increasing the use of the system. This paper focuses on the passengers’ transfer experience and proposes a methodology to evaluate current bus traffic transfer service. Factors that affect passenger satisfaction during the bus transfer process at HSR stations based on the passengers’ perceptions are analyzed by convenience, comfort, safety, service, and economy. A structural equation model (SEM) is developed as an evaluation approach to explore the correlations of bus transfer service, passenger perceived value, and passenger satisfaction. To calibrate the model, a questionnaire survey of passengers transferring to a bus was conducted at Xi’anbei Railway Station. This paper analyzes the relationships between observed variables and latent variables in the measured model, the influences of exogenous variables on endogenous variables in the structural model, and the impact of the passengers’ socioeconomic attributes on passenger satisfaction. Analysis results of the SEM show that economy and convenience are the critical influential indicators of passenger satisfaction, among which bus fare preferential policy and transfer distance are the most significant factors. The findings can provide helpful information for planners and managers to improve the services of existing HSR stations and to guide the planning of new ones.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 850-850
Author(s):  
Donald Royall

Abstract Ethnicity complicates the assessment of dementia and its biomarkers in the Texas Alzheimer’s Research and Care Consortium (TARCC). Its effect can be mitigated by the construction of latent variables in a structural equation model (SEM) framework. We have developed a dementia-specific phenotype, i.e. “δ” (for “dementia) by that approach. δ provides a continuously distributed dementia severity measure that may be resistant to ethnicity effects. We propose to test the impact of Mexican-American (MA) ethnicity in TARCC data [N = 3502; MA = 1313; Non-Hispanic Whites (NHW) = 2189]. Significant structural associations between observed cognitive performance, δ and δ’s serum protein biomarkers will be tested for ethnicity effects by CHI SQ differences across ethnicity stratified models. Observed clinical variables can be impacted by demographic effects. Those can lead to presumed disparities in clinical outcomes or biomarkers. Latent variables have potential to mitigate demographic effects, refute some perceived disparities and confirm others.


Author(s):  
Tara Saeidi ◽  
Mahmoud Mesbah ◽  
Meeghat Habibian

Improving the public transportation system to compete with the private modes requires an understanding of passenger perceptions of the service quality (SQ). In the literature, various models have been developed to identify effective SQ attributes and to assess their relationship with passenger satisfaction. However, most of them either ignore the socioeconomic and trip characteristics or consider them by a market segmentation approach. Since these variables can affect passenger perceptions, it is important to include them in the model. This paper aims to capture the effect of socioeconomic and trip variables by combining them with SQ attributes in a satisfaction analysis. An ordered logit model considering SQ latent variables is calibrated to model passenger satisfaction. The measurement part of a Structural Equation Model (SEM) is applied to construct latent variable structures. The case study was on the Tehran metro. The SQ attributes were used to form five SQ latent variables: “comfort,”“information,”“cleanliness,”“service,” and “safety/security.” The results indicate that socioeconomic and trip characteristics, as well as the SQ latent variables, had a significant effect on passenger satisfaction. From the results of this study, “service” and “comfort” were found to be the most effective contributors to satisfaction levels among the SQ latent variables. Among socioeconomic and trip characteristics, gender, education, driving license, egress mode, access time, and trip origin type (i.e., work, education, etc.) were also important in passenger satisfaction.


Author(s):  
Carlos A Talamantes-Padilla ◽  
Jorge Luis. García-Alcaráz ◽  
Aide A. Maldonado-Macías ◽  
Giner Alor-Hernández ◽  
Cuauhtemoc Sánchéz-Ramírez ◽  
...  

In this chapter, four latent variables will be analyzed to measure the impact of Information and Communications Technology (ICT) on the integration, flexibility and performance of Supply Chain (SC). The aim of the exposition is to provide greater understanding for those responsible of the supply chain, and focus efforts on clear objectives. These clear objectives should help those responsible for the supply chain achieve a better performance within organizations. The information analyzed was obtained from a questionnaire provided to 284 managers in companies located in Ciudad Juarez, Mexico. The results were used to generate a structural equation model in order to learn the relationships between variables. We have postulated six hypotheses regarding the direct, indirect and total effects. The results indicate that there is no direct relationship between ICT integration and SC performance, but an indirect relationship through mediating variables as SC Integration and Flexibility exists.


Symmetry ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1253
Author(s):  
Palos-Sanchez ◽  
Robina-Ramirez ◽  
Velicia-Martin

This paper aims to investigate the factors which promote the adoption of cloud-based technology. It strives for a better understanding of the impact of corporate governance on the adoption of this technology. This study concentrated on executives in companies where the use of cloud computing may give a competitive advantage. The main contribution of this work is to propose a model for the influence of corporate governance and other factors that determine the adoption of this technology. A questionnaire was prepared after taking into consideration the reviewed literature. The sample consisted of 164 technology companies from Southern Spain that already use the new economic models for digital solutions. The methodology used to analyze the structural model was the Structural Equation Model (SEM). The results of the survey showed the influence of Corporate Governance and the procedures and practices of the organization on the adoption of cloud computing and the associated business model. This study aims to point out the importance of corporate support and Knowledge Management for the correct and successful adoption of this technology and to show the effects on the new business model of billing for the use of available resources.


2019 ◽  
Vol 3 (1) ◽  
pp. 23-28
Author(s):  
Erick Sorongan ◽  
Hilmansyah Hilmansyah ◽  
Hadiyanto Hadiyanto

The application of information systems with various types of convenience offered can reflect the quality of service of an organization, the quality of service can be said to be very good if the service meets the needs and expectations of users. This kind of evaluation can be done by applying a tested model but problems arise when latent variables in the method used are not fully able to identify factors that influence user satisfaction. From the results of research using the end user satisfaction model, the R-Square value is 0.653, which means that 65.3% of user satisfaction can be found through latent variables found in the EUCS model while the remaining 34.7% can be explained through external variables. This study aims to analyze external factors outside the EUCS model, one of which is by using the information system quality variables contained in the Delone and Mclane information system success model. The way to do this is to add an external variable to the EUCS model and then analyze the outer model and analyze the structural model using the structural equation model. The results showed that the independent system quality variable has a t-statistic value of 3.445 or greater than t-table 1.96 which means that the external latent variables of the Delone and Mclean model can be used to explain the satisfaction factors (from the external variable side) of the user information system on the EUCS model.


Author(s):  
Guillermo Velazquez ◽  
Sigal Kaplan ◽  
Andres Monzon

This study investigates the behavioral drivers underlying the adoption of a multimodal travel information mobile app. The hypothesized framework is validated empirically through the case-study of Madrid. Madrid’s Public Transport real-time information app (“Mi Transporte”) allows users to obtain customized and automated information. A three-wave survey containing questions aligned with the Theory of Planned Behavior was conducted in 2015 and 2016 with a representative sample of transit users. Data analysis includes a factor analysis and a structural equation model to validate the hypotheses. The model assumes that the intention to use the app can be explained as a function of attitudinal factors and respondent characteristics. Results show that the app adoption is correlated with the intention of the users to adopt it and with their willingness-to-pay; the users’ intentions can be explained by various factors like user’s expectations on the app, affinity for technology (technophilia) and the previous use of other transport apps. The roles of search functionalities, side-mode information, time saving skills and the importance of the Level of Service (LOS) are also analyzed in the model. Relations between user characteristics and latent variables are subsequently explained as well as the ex-post satisfaction and change in travel patterns to measure the impact on the transport behavior of the app users. The study provides a better understanding of app adoption based on traveler characteristics, the attributes of the app and the perception of its capabilities.


Author(s):  
Fahimeh Malekinezhad ◽  
Hasanuddin Bin Lamit

Restoration experience is a positive response against the ever-increasing problem of stress. It is recovery of attentional capacity, clearing random thoughts and feelings of relaxation and calmness. Although there is a body of research on investigating the impact of open green space characteristics on psycho- logical restoration through attention restoration theory and supportive environment theory, there is little knowledge on how the interaction among these characteristics could promote restorative outcomes. To address this problem, using Perceived Sensory Dimension (PSD) for open green space qualities and Perceived Restorativeness (PR) as the property of restorative environment, this study assessed the extent to which the PSD and PR impact on restoration experience. Using 444 screened surveys, a Partial Least Square Structural Equation Model (PLS-SEM) was developed and the validity and reliability of it, was demonstrated. Extensive analysis of the results showed how environmental qualities can promote restoration experience using a sample of university students. These results provide information for landscape architecture and planning researchers to promote the development of open spaces as a resource of psychological restoration and stress relief.


2019 ◽  
pp. 1216-1232
Author(s):  
Jose Roberto Mendoza Fong ◽  
Jorge Luis García-Alcaraz ◽  
Aidé Aracely Maldonado-Macías ◽  
Cuauhtémoc Sánchez Ramírez ◽  
Valeria Martínez Loya

Nowadays, green supplier selection (GSS) is one of the most important activities for companies. Therefore, this research aims to demonstrate the relationship that exists between GSS and the marketing benefits of companies. The chapter proposes a structural equation model that integrates three latent variables. The two independent latent variables concern preproduction green attributes and process green attributes, and they are associated with a dependent latent variable: marketing indexes. Thus, three hypotheses are proposed to relate these latent variables. To validate such hypotheses, a survey is administered to 253 middle and senior managers from the manufacturing industry of Ciudad Juárez. Similarly, a descriptive analysis of the sample and the items is carried out. Results show direct and positive effects among the analyzed variables. However, the highest impact is caused by preproduction green attributes over production process green attributes.


2016 ◽  
Vol 36 (3) ◽  
pp. 74 ◽  
Author(s):  
Jorge Luis García-Alcaraz ◽  
Wilson Adarme-Jaimes ◽  
Julio Blanco-Fernández

This article assesses the impact of human resources skills on production quality, flexibility, and economic performance of La Rioja’s wine supply chain. These four elements were integrated as latent variables composed of 15 observed variables and associated through six hypotheses. Data were gathered from 64 wineries located in La Rioja, Spain, and hypotheses were validated in a structural equation model using WarpPLS v.5 software. Results indicate that human resources skills have a positive direct impact on SC flexibility and quality, but not on economic performance; however, these variables are indirectly associated through SC quality and SC flexibility.


2019 ◽  
Vol 21 (1) ◽  
pp. 91-105 ◽  
Author(s):  
Yi Xiao ◽  
Xiaoling Ren ◽  
Pei Zhang ◽  
Antonnette Ketlhoafetse

Purpose The purpose of this paper is to examine foreign participants’ service quality, satisfaction and behavioral intention during the 2016 Shanghai International Marathon, and to gain a better understanding of the impact of service quality on their satisfaction and behavioral intention. Design/methodology/approach An English questionnaire was originally designed on the basis of the literature review of service quality, overall satisfaction and re-participation intention to assess the purpose of the study. Data were collected from 308 foreign runners including 61.7 percent (n=190) of male and 38.3 percent (n=118) of the female. Structural equation modeling was employed to check the proposed model and to test the impact of service quality on foreign participants’ overall satisfaction and behavioral intention. Findings A positive correlation was captured between the following: service quality and overall satisfaction (r=0.752, p<0.01), overall satisfaction and behavioral intention (r=0.876, p<0.01), and between service quality and participants’ behavioral intention (r=0.760, p<0.01). Furthermore, the service quality of Shanghai International Marathon had an indirect effect on foreign participants’ behavioral intention. The structural model fits the data well (R2=0.823). Research limitations/implications First, the sample size was small and was just drawn from one event, which can be taken with caution in the context of the generalization of findings. Second, the results are specific to 2016 Shanghai International Marathon participants and cannot be generalized with other events in China or around the world. Practical implications The results are practical for the marathon event organizers to better understand foreign participants’ needs and improve their services. This study has a significant importance to the sports events organizers, especially the organizers of the Shanghai International Marathon in terms of a better understanding the level of their service. This study will also help the event organizers to adapt their strategies and their efforts to increase Shanghai International Marathon foreign participants’ satisfaction and intention to repurchase or to share with others. Social implications This study contributes to the foreign participant’s satisfaction literature. In fact, many studies were carried on event spectators’ satisfaction while rare studies were carried on event participants’ satisfaction, especially marathon foreign participants’ satisfaction, and this study will supplement studies related to sport events participation. This will be convenient for sports managers and scholars to better understand the impact of service quality on participants’ satisfaction and behavioral intention in the field of sports events management. Meanwhile, the results were extremely useful to Shanghai during the process of constructing a “world-famous sports city” and “modern international metropolis”. Originality/value Little literature focus on foreign participants of Shanghai International Marathon, which is important in the process of shaping city image and building world-famous city. Are foreign participants satisfied with the Shanghai International Marathon? Which aspect of the service quality is of greater value for them? What are the influencing factors of their behavioral intention and word-of-mouth communication? What are the specific impact paths among the service quality, overall satisfaction and behavioral intention variables? To examine the objectives, the study was designed to target foreign participants’ service quality, satisfaction and behavioral intention. Besides, structural equation model was applied in this study to explore the path relationship between service quality, satisfaction and behavioral intention specifically.


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