• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.163-172
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• 2010

There are many efforts for expanding bikeway plans and increasing bike utilization. In this study the authors try to find the primary factors that affect bike users' satisfaction under limited budgets. As satisfaction is a qualitative variable, the authors developed a bike user satisfaction model by using structural equation methods. The bikeways are distinguished between bike lanes on public roads and exclusive bikeways along the Han River, as the characteristics and attributes should be different. The model shows bikeways on public road have a user satisfaction equal to 0.248*(safety)+0.405(accessibility). Bikeways along the Han River have a user satisfaction equal to 0.437*(accessibility)+0.405*(economic feasibility). In both types, accessibility affects satisfaction. Safety in more important to users on public roads, while economic feasibility affects those on the Han River bikeways.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5D
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• pp.597-607
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• 2008

ATIS(Advanced Traffic Information System) provide valuable information as the travel time and traffic congestion, detour, traffic accident information to drivers, so it is being in the spotlight. But so far, the study on the consumer satisfaction with providing traffic information is incomplete. So, this study run a Canonical discriminant analysis and a Canonical correlation analysis by a QuantificationIItheory based on a Traffic Information Satisfaction image data through questionnaires, and found out the factors with influence on the consumer satisfaction. And this study definitely found out the correlation between consumer's recognition and traffic information satisfaction through understanding the change on the recognition about traffic information satisfaction by a QuantificationItheory. Finally, this study found out the change on the sensibility recognition of drivers by running the principal component anlysis, developed the traffic information satisfaction evaluation model considering the change on the recognition by using the structural equation model.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.437-444
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• 2017

The purpose of this study is to analyze the factors affecting the reverse mortgage utilization and satisfaction of the elderly. Based on the survey data of the reverse mortgage demand in 2016, we carried out empirical analysis using the binary logit model and the ordered logit model. First of all, as a result of the empirical analysis using the binary logit model, the determinants of using the reverse mortgage were age, region, assets, household member, children with financial help, and education level. As a result of the empirical analysis using the ordered logit model, the determinants of the satisfaction level of the reverse mortgage were estimated to be age, gender, and region. Based on the results of the empirical analysis, it is necessary to find a way to increase the participation rate of the reverse mortgage and to improve the satisfaction of the user.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.125-132
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• 2015

It is current situation that a number of issues are being raised how the weight is calculated from customer satisfaction survey. This study investigated how the weight of satisfaction for each quantile is different by comparing ordinary least square regression model to quantile regression model and carried out bootstrap verification to find the influence difference of regression coefficient for each quantile. As the analysis result of using R(Quantreg package) that is open software, it appeared that there was the influence size of satisfaction factor along study result and quantile and there was the significant difference statistically regarding regression coefficient for each quantile. So, to use quantile regression model that offers the influence of satisfaction factor for each customer group along satisfaction level would contribute to plan the quantitative convergence policy for customer satisfaction.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.225-254
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• 2024

The study aims to understand undergraduates' and graduate students' perceptions and satisfaction with online learning platforms and to verify the relationship between usability factors and satisfaction with online courses. The literature review facilitated the summarization of major factors to be considered in the online learning platform development process and established the research model. The follow-up survey verified the perceptions of university constituents regarding the fulfillment of the university online learning platforms' user interface principles, platforms' usability, satisfaction with platforms, and satisfaction with online courses. Causal relationships between variables were tested and modeled by analyzing survey results. We also confirmed that the same model can be applied to different types of learners and various types of online learning methods. This study is significant in verifying that the fulfillment of the platforms' user interface design principles can affect satisfaction with online courses using the platforms based on learners' evaluation results. We expect that the research model proposed in this study can contribute to the improvement and development of online learning environments in the future.

• Journal of Service Research and Studies
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• v.11 no.4
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• pp.67-76
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• 2021

The importance of smart learning is increasing as the speed of development of non-face-to-face services increases due to the influence of COVID-19. This study is the user satisfaction evaluation model that utilizes the causal relationship between variables used for evaluation, focusing on the usability evaluation results of the learning disability intervention service (www.basic-edu.net) according to the need to evaluate the use satisfaction of the smart learning system. To this end, theoretical studies were conducted on smart learning and learning disability intervention services, www.basic-edu.net, usability evaluation of learning disability intervention systems, and use satisfaction evaluation models. And based on the results, a hypothesis was presented on the user satisfaction evaluation model of the smart learning system. The experimental method allowed 40 students and parents across the country to use the www.basic-edu.net service and was evaluated for its usability. In addition, using this data, the hypothesis was verified using regression analysis based on four variables: ease of use, interest, self-learning, and satisfaction with use. As a result of the hypothesis verification, it was found that the causal relationship of all hypotheses from H1 to H4 was significant.

• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.117-131
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• 2009

When most drivers take to the freeway, they don't necessarily pay attention to the geometric design. They expect proper design by depending on their own senses and recognition. When they evaluate the features of traveling on the freeway, they can think differently than engineers. The design needs to predict the exact speed of the driver to satisfy the driver's expectation, safety, pleasure and so on. This study categorized the factors influencing the speed of six freeways considering geometric and operational features to make a prediction model of speed. The model used multiple regression with these factors and produced statically appropriate results. This study utilized the principle component analysis and the quantification II analysis based on the image data of the satisfaction of the traveling environment collected through individual interviews. As a result, this study found the factors of satisfaction in a traveling environment. It made a satisfaction model of the traveling environment on freeways considering the change of driver's actual recognition and societal recognition using structural equations and the quantification II theory. Through the model made in this study, This model can present not only qualitative factors like satisfaction of traveling environment on freeways, but also the quantitative elements like speed. What is important is the evaluation of features of traveling on freeways reflected in the recognition and traffic environment felt by drivers.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1075-1087
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• 2011

We analyze the tourist satisfaction of the Daegu City Tour which plays a big role in the local tourism boosting through '2011 Visit Daegu Year'. To analyze a causal relation among factors, we proposed a structural equation model consisting of four latent variables of the tour: motivation, expectation, satisfaction, and future behaviors. Using data from the actual tourists of the Daegu City Tour, we found out that tourists' motivation before the tour does not affect tourists' satisfaction after the tour. However those who have higher motivation have positive future behavior and those who have the higher expectation are more satisfied with the tour. Meanwhile, the expectation before the tour does not lead the future behavior but the satisfaction after the tour influences the positive future behavior.

• Korean Business Review
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• v.22 no.1
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• pp.139-156
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• 2009

This article investigates the relationships between motivation and revisit intention of visitors to Gangneung Danoje Festival as cultural festival with social demand. Out of 550 questionnaires distributed, a total of 514 usable questionnaires were collected. The hypothesized causal model was tested by logit model, which included satisfaction model to each program as well as overall satisfaction model to cultural festival. Model 1 is constructed with satisfaction and revisit intention to each program, and Model 2 with overall satisfaction and revisit intention to cultural festival. In this models causal variables were inputted including satisfaction to festival programs, frequency of visitation, days of stay, time required to destination. In Model 1 positive sign were shown by causal variables as satisfaction to each program, frequency of visitation, days of stay but negative signs was shown by time required to festival place. In Model 2 sign directions of causal variables were same in Model 1. In comparison, Model 2 is more significant than Model 1 on the basis of statistical theory as significance level and coefficient of determination. Consequently, cultural festival managers should test the satisfaction level of visitors to each program of cultural festival and make efforts to establish advanced program in order to attract more visitors.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.9
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• pp.1614-1620
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• 2001

본 연구의 목적은 의류학 관련 전공에 대한 학생들의 전공 만족도에 영향을 주는 결정변인을 조사하는데 있다. 조사대상은 의류학 관련학과를 전공으로 하는 국내 2년제 및 4년제 10개 대학의 재학생으로, 총 690부의 설문자료가 최종 통계분석에 사용되었다. 분석은 Lisrel을 이용하여, 학생들의 전공 만족도의 결정 변인과 구조적 모형을 조사하였다. 그 결과, 학문적 경쟁력과 전공에 대 한 적성 및 흥미가 가장 중요한 전공 만족도의 결정 변인으로 밝혀졌으며, 기타 만족도 변인인 시설 및 장비, 취업, 학생활동 관여도, 사회적 유대감등은 전공 만족도에 직접 영향을 미치는 것이 아니라, 학교 만족도를 통해 간접적인 영향을 미치는 것으로 나타났다.