• Journal of Global Scholars of Marketing Science
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• v.17 no.3
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• pp.1-19
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• 2007

1. Purpose Rural tourism is made by individuals with different characteristics, needs and wants. It is important to have information on the characteristics and preferences of the consumers of the different types of existing rural accommodation. The stud aims to identify the determinants of consumer preference by type of accommodations. 2. Methodology 2.1 Sample Data were collected from 1000 people by telephone survey with three-stage stratified random sampling in seven metropolitan areas in Korea. Respondents were chosen by sampling internal on telephone book published in 2006. We surveyed from four to ten-thirty 0'clock afternoon so as to systematic sampling considering respondents' life cycle. 2.2 Two-step cluster Analysis Our study is accomplished through the use of a two-step cluster method to classify the accommodation in a reduced number of groups, so that each group constitutes a type. This method had been suggested as appropriate in clustering large data sets with mixed attributes. The method is based on a distance measure that enables data with both continuous and categorical attributes to be clustered. This is derived from a probabilistic model in which the distance between two clusters in equivalent to the decrease in log-likelihood function as a result of merging. 2.3 Multinomial Logit Analysis The estimation of a Multionmial Logit model determines the characteristics of tourist who is most likely to opt for each type of accommodation. The Multinomial Logit model constitutes an appropriate framework to explore and explain choice process where the choice set consists of more than two alternatives. Due to its ease and quick estimation of parameters, the Multinomial Logit model has been used for many empirical studies of choice in tourism. 3. Findings The auto-clustering algorithm indicated that a five-cluster solution was the best model, because it minimized the BIC value and the change in them between adjacent numbers of clusters. The accommodation establishments can be classified into five types: Traditional House, Typical Farmhouse, Farmstay house for group Tour, Log Cabin for Family, and Log Cabin for Individuals. Group 1 (Traditional House) includes mainly the large accommodation establishments, i.e. those with ondoll style room providing meals and one shower room on family tourist, of original construction style house. Group 2 (Typical Farmhouse) encompasses accommodation establishments of Ondoll rooms and each bathroom providing meals. It includes, in other words, the tourist accommodations Known as "rural houses." Group 3 (Farmstay House for Group) has accommodation establishments of Ondoll rooms not providing meals and self cooking facilities, large room size over five persons. Group 4 (Log Cabin for Family) includes mainly the popular accommodation establishments, i.e. those with Ondoll style room with on shower room on family tourist, of western styled log house. While the accommodations in this group are not defined as regards type of construction, the group does include all the original Korean style construction, Finally, group 5 (Log Cabin for Individuals)includes those accommodations that are bedroom western styled wooden house with each bathroom. First Multinomial Logit model is estimated including all the explicative variables considered and taking accommodation group 2 as base alternative. The results show that the variables and the estimated values of the parameters for the model giving the probability of each of the five different types of accommodation available in rural tourism village in Korea, according to the socio-economic and trip related characteristics of the individuals. An initial observation of the analysis reveals that none of variables income, the number of journey, distance, and residential style of house is explicative in the choice of rural accommodation. The age and accompany variables are significant for accommodation establishment of group 1. The education and rural residential experience variables are significant for accommodation establishment of groups 4 and 5. The expenditure and marital status variables are significant for accommodation establishment of group 4. The gender and occupation variable are significant for accommodation establishment of group 3. The loyalty variable is significant for accommodation establishment of groups 3 and 4. The study indicates that significant differences exist among the individuals who choose each type of accommodation at a destination. From this investigation is evident that several profiles of tourists can be attracted by a rural destination according to the types of existing accommodations at this destination. Besides, the tourist profiles may be used as the basis for investment policy and promotion for each type of accommodation, making use in each case of the variables that indicate a greater likelihood of influencing the tourist choice of accommodation.

• Journal of the Korean Geographical Society
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• v.43 no.6
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• pp.981-1001
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• 2008

This research deals with cognitive characteristics of point symbols on the current tourist maps in terms of the communication theory in considering levels of symbolization and those of preference. The levels of symbolization are examined on the basis of the meaning of point symbols between map-makers and map-users. Preferences of point symbols are investigated by the tourist objects. As a result, when point symbols are expressed in conciseness, the meaning and interpretation about those symbols are highly accorded. And the point symbols that have familiarity by visual experience are preferred. Also, the higher symbolical levels symbols have, the more likely they are preferred. Through that fact, familiarity from the visual experience, conciseness in expression, concreteness of figures expressed in maps, and representativeness of visualized properties were deduced as factors that affect preferences. Those factors work to affect preference complicatedly, but familiarity is prior to simplicity in preferences. Likewise, ways that visualize information, contents that are expressed as images and familiarity in terms of cognitive characteristics make a relative difference in preferences and the levels of symbolization. On the basis of those cognitive characteristics, visual complexity and ambiguity should be removed and the higher symbolical level of point symbols for efficiency of map-reading should be developed.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.750-759
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• 2020

The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.321-334
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• 2016

Food is one of the essential elements of the tourist experiences. The study aims to segment food tourists for benefit sought. This study attempted to segment tourists who had experienced local food at tourist destinations by their benefit sought to meet local food. A self-administered survey was obtained from 498 visitors in the study areas. Results from the factor analysis show that the most explained variances of benefit sought were food taste (17.2%) and refresh (12.9%). Five distinct segments were identified based on the benefits; family seeker (17.6%), passive seeker (15.1%), want-it-all seeker (23.1%), raw material seeker (31.8%), gastronomic seeker (12.4%). In addition, a significant difference in the characteristics of tourists who had tasted local food at tourist destinations was observed in terms of occupation, income, education, expenditure for food, and tour distance. Implications are discussed relative to marketing strategies.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.215-231
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• 2023

Taking Pingjiang historical and cultural block in Suzhou as an example, this paper collects 1436 tourist comment data from Ctrip. com with Python technology, and uses network text analysis method to analyze frequency words, semantic network and emotion, so as to evaluate the tourist perception characteristics and levels of the Grand Canal cultural heritage. The study found that: natural and humanistic landscapes, historical and cultural deposits, and the style of the Jiangnan Canal are fully reflected in the perception of visitors to the Pingjiang Historical and Cultural District; Tourists hold strong positive emotions towards the Pingjiang Road historical and cultural district, however, there is still more space for the transformation and upgrading of the district. Finally,suggestions for measures to improve the perception of tourists of the Grand Canal cultural heritage are given in terms of conservation first, cultural integration and innovative utilization.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.319-334
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• 2024

Purpose - The purpose of this study is to examine the gravity model commonly used for demand forecasting upon the implementation of new tourist facilities and analyze the main causation of forecasting errors to provide a suggestion on how to improve. Design/methodology/approach - This study first measured the errors in predicted values derived from past feasibility study reports by examining the cases of five national science museums. Next, to improve the predictive accuracy of the gravity model, the study identified the five most likely issues contributing to errors, applied modified values, and recalculated. The potential for improvement was then evaluated through a comparison of forecasting errors. Findings - First, among the five science museums with very similar characteristics, there was no clear indication of a decrease in the number of visitors to existing facilities due to the introduction of new facilities. Second, representing the attractiveness of tourist facilities using the facility size ratio can lead to significant prediction errors. Third, the impact of distance on demand can vary depending on the characteristics of the facility and the conditions of the area where the facility is located. Fourth, if the distance value is below 1, it is necessary to limit the range of that value to avoid having an excessively small value. Fifth, depending on the type of population data used, prediction results may vary, so it is necessary to use population data suitable for each latent market instead of simply using overall population data. Finally, if a clear trend is anticipated in a certain type of tourist behavior, incorporating this trend into the predicted values could help reduce prediction errors. Research implications or Originality - This study identified the key factors causing prediction errors by using national science museums as cases and proposed directions for improvement. Additionally, suggestions were made to apply the model more flexibly to enhance predictive accuracy. Since reducing prediction errors contributes to increased reliability of analytical results, the findings of this study are expected to contribute to policy decisions handled with more accurate information when running feasibility analyses.

• Journal of the Korean association of regional geographers
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• v.12 no.3
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• pp.408-420
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• 2006

The present study purposed to examine the possibility of developing historicity inherent in places into tourism resources from the view that the history and location of historical cities have the nature of cultural contents. Previous researches on tourism have been focused on tourist facilities, the development of tourist attractions, economic effects, cultural policies, etc. However, the present study makes a cultural approach to historical cities to explore the meaning of places formed through history and the historicity of places, assuming that the temporal and spatial characteristics of Hanseong-bu can be developed into tourism resources. Major places of Hanseong-bu are classified according to their functions and cultural meanings, and these factors are associated with the geographical structure of the area. By landform and cultural characteristics during the Chosun Dynasty, Hanseong-bu is divided into the central part, the boundary area, and the outskirts. In addition, different elements, which can be developed into tourism resources, are found according to the landscape of Hanseong-bu, the character as a dynastic city, the environs inside the wall, and differences among localities reflecting pre-modem lifestyle.

• Journal of the Korean Society of Food Culture
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• v.27 no.5
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• pp.496-504
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• 2012

The objective of this study was to investigate the phasic characteristics of the adjustment process to Korean food with an analysis of Japanese independent tourist culture social resistance factors. To collect data for empirical study, a survey was distributed to 284 Japanese tourists through Korean travel agencies. Logistic regression analysis was carried out in order to determine media and cultural beliefs affecting the diffusion process of Korean food. The results showed that cultural beliefs had no significant effects on the diffusion process of most Korean food. However, people who valued similarities between the two countries-South Korea and Japan-demonstrated a significant effect on performance and identification group. Therefore, cultural beliefs did not influence the diffusion of Korean food, although there are surely cultural beliefs and subjective factors affecting their reform decisions.

• Journal of Industrial Technology
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• v.17
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• pp.169-174
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• 1997

This investigation was carried out to study on the generation property, management and seperate collection rate of solid waste in the Gu-Gok Falls. Generation rate of solid waste was 80.785kg/day and unit waste generation rates was $65.55g/day{\cdot}tourist$ one person. Physical component of solid waste were garbage 46%, papers 20%, empty bottles 10%, respectively. A plan is required to decrease generation rate of garbage waste. As result to investigate separated garbage can, papers and can were separated more than 60%. But empty bottles and scrap iron were separated less than 50%. P.E.T, steel can, aluminum can and empty bottles were 20% of total generation rate, and profit of reuse is \700,800/year.

• Journal of the speleological society of Korea
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• no.8
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• pp.55-64
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• 1998

Many of the familiar roadside signs advertising caves open to the public carry the phrase, “Come underground and cool off”. This is reasonable advice, for during the heat of summer the temperature of these caves is indeed pleasantly cool. If the principal tourist season were in the winter instead of the summer, however, the signs would probably read, “Come underground and warm up”, for in winter these same caves are far warmer than the surface. Cave temperatures are nearly constant throughout the year.