• Culinary science and hospitality research
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• v.13 no.4
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• pp.186-198
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• 2007

Recently, the desire of the students has been changing variously as time passes and its speed is being accelerated. In this respect, this paper aims to demonstrate college students' menu choice behavior. In order to attain the object of this paper, college students in Chung-Nam Province including Daejeon city have been studied. There are many kinds of manu choice factors in food-industry. One of the methods of this study is Khan's food choice factor. The results of this analysis suggest that hypothesis 1-1, the environmental factors for college students were verified as significant effects on menu choice behavior of other people and also hypothesis $1{\sim}2$, self oriented for menu choice behavior showed significant effects. As a result, Khan's food choice behavior should be comparative to each factor focused on diversified environments. And also each factor is not strongly affected in relation to food choice factor. Therefore, students' menu choice behavior will be measured by verifying factors.

• Journal of Korean Society of Transportation
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• v.11 no.2
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• pp.5-26
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• 1993

In order to analyze travel mode choice behavior, behavioral models including logit model, based on revealed preference theory, have been using easily measurable variables such as individual socioeconomic characteristics and physical attributes of travel modes. But some recent attitudinal models of travel choice behavior have implied that the negligence of individual psychological variables and individual choice constraints in travel mode choice might preclude better prediction of individual travel mode choice behavior. In this context, this study was attempted to reconstruct an attitudinal model(AM), especially focused on the decision rules in travel mode choice decision making process, consistent with the conceptual framework relating individual attitude and choice constraints to choice behavior. And to evaluate the strengths of the AM to other comparative models(logit, linear-additive, conjunctive, lexicographic model) in predicting travel mode choice bebavior, an empirical study of the mode choice in work-trip to CBD in Seoul was performed. According to the results the percent of correct prediction(PCP) derived from the AM was higher than those derived from comparative models by at least 7 to 20% in predicting travel mode choice. But each model produced a different prediction accuracy depending on market segmentation by travel modal users, individual socioeconomic characteristics, transportation system characteristics, and satisfaction levels. The finding that different groups divided by a certain criterion employ different decision rules supports the necessity of developing a choice model such as the AM combining compensatory and noncompensatory decision rules, and suggests that a proposed transportation system management plan or policy may have different effects on each group.

• Human Ecology Research
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• v.61 no.1
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• pp.91-102
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• 2023

The purpose of this study was to develop a housing choice behavior program to cultivate housing value orientation among middle-school students. The importance of cultivating housing value orientation in middle school was examined by investigating the relationship between housing value orientation and housing choice behavior, following which a program was developed to cultivate housing value orientation based on various housing values. Housing choice behavior was defined as selecting the ownership type, housing type, housing size, and neighborhood environment of housing, and the program was developed in 12 sessions to understand housing values and cultivate housing value orientation through learning housing choice behavior. The features of this program were as follows. First, although housing choice behavior is not covered in middle-school home economics, the 2015 revised national curriculum and current middle-school textbooks were analyzed and developed in consideration of the level available in schools. Second, it was possible to develop a housing value orientation that encompasses various housing values, including activities used to consider such values as the basis for housing choice behavior by each sessions. Third, the program was meaningful in that it developed practical problem-solving and living independence skills through learning activities, including available sites, experience cases, and housing welfare that cannot be experienced directly or indirectly.

• Perspectives in Nursing Science
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• v.12 no.1
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• pp.42-49
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• 2015

Purpose: The purpose of this study was to investigate nursing students' awareness of career decision-making self-efficacy, career search behavior and commitment to career choice. Methods: Data were collected using a self-report questionnaire from 397 nursing students in D city from October 1 to October 8, 2014. Results: The average score of career decision-making self-efficacy, career search behavior and commitment to career choice was 3.42, 3.08 and 3.27 on a Likert 5 point-scale respectively. Career decision-making self-efficacy and career search behavior were significantly different according to grade of subject. There were positive correlations between career decision-making self-efficacy, career search behavior and commitment to career choice. Conclusion: It is necessary to develop an effective career support program from 1st grade to improve nursing student's career decision-making self-efficacy, career search behavior and commitment to career choice.

• Journal of Korean Society of Transportation
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• v.28 no.4
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• pp.119-128
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• 2010

Mode choice behavior is associated with travelers' latent behavior that is an unobservable preference to travel behavior or mode characteristics. This paper specifically addresses the problem of unobservable factors, that is latent behavior, in mode choice models. Consideration of latent behavior in mode choice models reduces the errors that come from unobservable factors. In this study, the authors defined the latent variables that mean a quantitative latent behavior factors, and developed the combined RP/SP model with latent variables using the mode choice behavior survey data. The data has traveler's revealed preference of existent modes along the Han River and stated preference of new water transit on the Han River. Also, The data has travelers' latent behavior. Latent variables were defined by factor analysis using the latent behaviour data. In conclusion, it is significant that the relationship between traveler's latent behavior and mode choice behavior. In addition, the goodness-of-fit of the mode choice models with latent variables are better than the model without latent variables.

• Korean Institute of Interior Design Journal
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• no.16
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• pp.161-167
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• 1998

The Study to verify the relations between the store choice behavior and the interior environmental image. the point of view is that the image of store affects the behavior of customers when they choose the store for shopping. The method used for this study is library survey for constructing the store choice model and the field survey for veryfying the model. The store choice behavior of customers occurs according to the procedure : environment exposure-development of cognitive structure-image developing by the emotional response-attitude decision- purchasing. The image of a store is one of the very important elements in marketing stragy. The group which showed the affirmative response to the emvironmental design aspects also showed the high affirmative response to the store image. The group which showed consistent response to the image of store and the image of him/herself showed more affirmative response to the environmental design aspects. Good image to a store affects affirmative attitude of customers and it consequently the store choice behavior

• Journal of Distribution Research
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• v.4 no.1
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• pp.17-29
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• 1999

We investigated the consumer behavior of store choice using consumer panel data. The NBD-Dirichlet model known to be predictive of the consumer's brand choice was also found to be well fitted for the store choice behavior. Understanding the regularity in the store choice will provide both manufacturers and sistributors with the necessary guidelines for their competitive strategies.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.2
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• pp.18-27
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• 2000

The importance of constraints has been one of major issues in recreation for prediction of choice behavior; however, traditional conjoint choice model did not consider the effects of these variables or fail to integrate them into choice model adequately. The purposes of this research are (a) to estimate the effects of constraints in theme park choice behavior by the constraints-induced conjoint choice model, and (b) to test additional explanatory power of the additional constraints in this suggested model against the more parsimonious traditional model. A leading polling agency was employed to select respondents. Both alternative generating and choice set generating fractional factorial design were conducted to meet the necessary and sufficient conditions for calibration of the constraints-induced conjoint choice model. Th alternative-specific model was calibrated. The log-likelihood ratio test revealed that suggested model was accepted in the favor of the traditional model, and the goodness-of-fit($\rho$$^2$) of suggested and traditional model was 0.48427 and 0.47950, respectively. There was no difference between traditional and suggested model in estimates of attribute levels of car and shuttle bus because alternatives were created to estimate the effects of constraints independently from mode related variables. Most parameters values of constraints had the expected sign and magnitude: the results reflected the characteristics of the theme parks, such as abundance of natural attractions and poor accessibility in Everland, location of major fun rides indoor in Lotte World, city park like characteristics of Dream Land, and traffic jams in Seoul. Instead of the multinomial logit model, the nested logit model is recommended for future researches because this model more reasonably reflects the real decision-making process in park choice. Development of new methodology too integrate this hierarchical decision-making into choice model is anticipated.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.4
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• pp.96-111
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• 1997

This study was carried out to identify users' choice behavior of theme parks. overland. Lotte World, Seoul Land, Dreamland and Children's Grand Park were selected as study areas. Both multinomial logic model(MNL), nested logic model(NMNL) and joint logit model wet$.$e test using a choice-based sample collected on study areas. Hausman-McFadden test showed that the MNL is not appropriate because the IIA assumption is violated. To avoid the problematic IIA assumption, the NMNL was tested. It splits similar alternatives into groups and nests separate decisions into hierarchical order to avoid the IIA assumption. Cluster analysis and discriminant analysis were conducted to find applicable nest structures. The inclusive value coefficient was 0.7788. It meant that sufficient condition of this model is met and users' choice behavior can be better understood by NMNL than MNL. The $\rho$2 value and accuracy of prediction of this model were 0.402 and 46.33% , respectively. Several comments were suggested to make the NMNL to be more reliable for future research on users' choice behavior of theme park.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.1
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• pp.19-28
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• 2000

The purposes of this study are two folds: a) to introduce conjoint choice model to research the choice behavior of theme park users, and b) to suggest the strategies to strengthen the competitiveness of theme parks. The major four theme parks in Seoul metropolitan areas were selected as study areas. A leading polling agency was employed to select 432 respondents by probability sampling and to conduct face-to-face interview. Both alternative generating and choice set generating fractional factorial design were conducted simultaneously to meet the necessary and sufficient conditions for calibration of the conjoint choice model. Dummy coding was used to represent the attribute levels, and the alternative-specific model was calibrated. The goodness-of-fit of the model was quite satisfactory($\rho$$^2$=0.47950), and most parameters values had to expected sign and magnitude. Car was preferred transport mode to shuttle bus for visiting theme parks ; however the most ideal attribute levels only were estimated significantly. Most attribute levels of shuttle bus were estimated significantly except the Dream Land, which is the least attractive park among study areas. Simulation results showed that the shuttle bus was a mode worth providing to switch the current car dominant visiting pattern of theme parks, which will be one the effective strategies to attract more patrons, especially for potential users adjacent to parks. Several ideals were suggested for future researches, in terms of utilization of more general utility function and new base alternative, and inclusion of more salient attributes such as constraints in the model.