• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.4
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• pp.875-886
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• 2015

By promoting the international transportation and the improvement of advanced exchange between South and North Korea, the Asian Highway plan was expected to make considerable economical effects in the North-East Asian region. This study focuses on a part of AH6 route (i.e., South Korea-North Korea-China-Far East Russia) and aims to analyze the behavioral change of international passenger transport around the Korean Peninsula by assuming the non-existent North Korea land transport network connectivity. The study was performed using two main methods. First, a stated preference survey was performed to derive the actual modal share of each travel mode. Second, a disaggregate analysis was performed to develop possible mode-choice models for international passenger travel and find out the suitable choice. Based on the results of the model estimation, it is found that over 90% of the international passenger transport would be converted to land transport (rail+highway). In addition, international railroad modal share rate would be increased from 62.8% to 66.1% and international bus would be decreased from 29.6% to 21.9% as the distance lengthened (903km~1,631km).

• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.63-75
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• 2000

Stated Preference (SP) data has been regarded as more useful than Revealed Preference (RP) data, because researchers can investigate the respondents\` Preference and attitude for a traffic condition or a new traffic system by using the SP data. However, the SP data has two bias: the first one is the bias inherent in SP data and the latter one is the attrition bias in SP panel data. If the biases do not corrected, the choice model using SP data may predict a erroneous future demand. In this Paper, six route choice models are constructed to deal with the SP biases, and. these six models are classified into cross-sectional models (model I∼IH) and dynamic models (model IV∼VI) From the six models. some remarkable results are obtained. The cross-sectional model that incorporate RP choice results of responders with SP cross-sectional model can correct the biases inherent in SP data, and also the dynamic models can consider the temporal variations of the effectiveness of state dependence in SP responses by assuming a simple exponential function of the state dependence. WESML method that use the estimated attrition probability is also adopted to correct the attrition bias in SP Panel data. The results can be contributed to the dynamic modeling of SP Panel data and also useful to predict more exact demand.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10B
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• pp.900-908
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• 2006

This paper studied on the future market competitive structure among mobile multimedia services that offer a variety of multimedia services and contents through wireless networks. In the past, forecasting methods based on market data would be used popularly in telecommunications industry. However, methods must focus on not market data but customer preferences. In this reason, paper use to forecast the market competitive structure and offer firm strategies and policies using a customer choice probability model.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.11
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• pp.1719-1732
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• 2009

A firm seeking to enter a foreign market must make an important strategic decision of which market entry mode to use. Because entry modes involve resource commitments, the initial choice by a firm on a particular entry mode is difficult to change without a considerable loss of time and money. Substantial prior research has been undertaken to explain why firms select a particular entry mode into global markets. However, there exists limited research on this area in the field of foreign apparel brands in Korea, although some research has analyzed influential entry mode factors when Korean textile and clothing companies went overseas. This study reviews prior research on the entry mode choice and analyzes the factors that influence the entry mode choice for 510 foreign clothing brands in Korea. Price range, clothing types, distribution strategy, and cultural distance were considered as influential determinants for different entry mode choices. Crosstabs with a chi-square test and logistic regression are used for analysis. This study shows that high-priced brands and luxury brands are associated with the export orientated entry mode in the Korean market. Brands that pursued the strategy of multiple distribution channels showed a preference for a licensing mode or direct investment over other entry modes, and brands from higher-cultural-distance countries entered the Korean clothing market by licensing mode. The findings of this study are appropriate for the strategic planning of foreign apparel intent on entering the Korean market or for Korean apparel firms planning to enter the global market.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.80-86
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• 2010

The purpose of this study is to explore the factors that influence the choice of a major in a sample of 655 science students enrolled in 14 high schools. It was found that more than 80 percents of students had already chosen their desired majors by the second year of high school. Half intended to apply for medical colleges. The preference of medical colleges was more pronounced in high-ranking students. It was found that students who scored highly on career decision level assessments were more likely to major in science. The most important determinant for students in choosing majors was subject interests. Career concerns and students' grades also influenced the choice of majors. In this study, it is concluded that the career decision level of students and subject interests influenced their choice of major. These findings suggest the career development programs and efforts to expose students to various career paths will increase the ability to make informed educational decisions.

• Korean Journal of Organic Agriculture
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• v.28 no.2
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• pp.189-208
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• 2020

The purpose of this study aims to estimate consumption selection attribute, part-worth of organic instant rice through the use of conjoint analysis method. The conjoint analysis is to trace the development of consumer preference among multi-attribute alternatives. The selection attribute was including 4 factors preferred Type of rice, Capacity, Brand and payment price. For this research, a total of 192 questionnaires was collected of which 200 were completed. The research design was a full profile method by orthogonal design then 9 main profiles, 3 holdout sets were created. The results of this research were as follows. Consumers of organic instant rice are consider their importance of selection attributes was in order to price (25.87%), Type of rice (27.231%), Brand/Purchase channel (24.013%) and Capacity (18.494%). The findings of this study have identified 3 clusters for each experience visitors. Each cluster has a different and showed the relative importance or preference values for each accessible attribute of the segmentation.

• Journal of Korean Society of Transportation
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• v.4 no.1
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• pp.12-27
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• 1986

This study examined user preferences toward transportation modes in Seoul. Two multidimensional scaling models, the ideal point and vector models, were applied to data on mode preferences of 114 adults in the metropolitan area. While both models produced fairly similar results, the vector model performed slightly better than the other in terms of interpretability of the results. The transport attributes elicited are comfort, flexibility, travel cost, travel time, privacy, and safety; among which comfort is salient most. The comfort variable is a multi-faceted attribute in nature. The variations of attribute preferences are most significant between the gender groups as well as worker/nonworker groups. In particular, male workers, female workers and female nonworkers form three distinctive market segments. An unidimensional scaling of the preference data reveals that subway, auto-driver, and subscription bus modes are preferred most, whereas motorcycle and bicycle least. The other modes of express bus, taxt, auto-passenger, bus and walk rank intermediately. An examination of how preference orders vary among modal groups hints that users align their stated attitudes to their choice in order to reduce cognitive dissonance.

• Journal of the Korean Home Economics Association
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• v.27 no.4
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• pp.51-58
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• 1989

The purpose of this study was to investigate the state of eating out and the food preference of college students in Seoul. This survey was carried out through questionaires, and the subjects were 158 male and 159 female students. The results obttained were summarized as follows; 1) Students who took late evening meal at home after eating out were 35.7% and most of the reasons were to custom. 2) During eating out, 30% of students had drinking. Male students had Soju (45.6%), and female had Beer (56.0%). 3) The most cases in date time, eating out cost were 5,000w. They were fond of Western Restaurant and the favorite food were Dongas. 4) Freqency of eating out with family had more than once a month (35%), because of a memorial day and event day, and the most favorite food was Sogalbigui. 5) Male and female students's choice in food at restaurant type were very different.

• Journal of Korea Multimedia Society
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• v.24 no.4
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• pp.610-618
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• 2021

This thesis is based on the theory of multiple intelligences proposed by the american educator and psychologist Dr.Gardner. According to the definition and classification of children's intelligence development games by predecessors, 6 types of intelligence development suitable for children aged 3 to 6 are summarized games, fill in the questionnaire to understand children's personal preferences, the purpose is to understand whether children aged 3 to 6 have a preference for intelligent development games and whether the preference will be affected by gender and age, and to understand the reality of children aged 3 to 6 Preferences and intellectual development needs provide a factual basis for more scientifically launching intelligent development games.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.113-123
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• 2011

Recently, the global warming problem has arised around world, many nations has set up a various regulations for decreasing $CO_2$. In particular, $CO_2$ emissions reduction effect is very powerful in transport part, so there is a rising interest about development of green car, or electric vehicle in auto industry. For this reason, it is important to make a strategy for charging infra and forcast electric power demand, but it hasn't introduced about demand forecasting electric vehicle. Thus, this paper presents a demand forecasting for electric vehicles using choice based multigeneration diffusion model. In this paper, it estimates innovation coefficient, immitation coefficient in Bass model by using hybrid car market data and forecast electric vehicle market by year using potential demand market through SP(Stated Preference) experiment. Also, It facilitates more accurate demand forecasting electric vehicle market refelcting multigeneration diffusion model in accordance with attribute progress in development of electric vehicle. Through demand forecasting methodology in this paper, it can be utilized power supply and building a charging infra in the future.