• Journal of Korean Society of Rural Planning
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• v.10 no.1 s.22
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• pp.35-40
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• 2004

The expansion of demand associated with leisure, which has resulted from the elevated standard of living, has made the domestic tourist demand diversified. Recently, people, especially urban population, show the higher interest and need for environmentally friendly rural tourism. This study aims to grasp the utilization of recreation roles of tourist farms and then to evaluate the economic value for recreation roles of tourist farm using Traveling Cost Method. Data were collected from a survey in 2003. The results show that its value is 62,037 won per head annually and so the tourist farms play their role of connecting the urban population with rural amenity.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.12-28
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• 2024

This study aims to identify the trend of changes in tourist floating population before and after COVID-19 in major tourist destinations in Jeju Island through spatial analysis. Seongsan-eup and Andeok-myeon in Jeju Island were selected as the research area, and the research period was set at 1 year before and 2 years after the COVID-19 outbreak. For the analysis, mobile floating population data was refined and processed to calculate floating population distribution and floating population increase/decrease data. This was converted into spatial data and an overlay analysis was performed with location data of major tourist attractions. As a result of the analysis, it was confirmed that the floating population of indoor tourist attractions and small facilities decreased immediately after COVID-19, and that in open coastal areas or large facilities, the floating population decreased less or actually increased. In conclusion, in tourism development, it is necessary to identify changes in floating population according to the characteristics of tourist facilities, and it is necessary to develop tourism facilities and strategies that can respond to risk situations such as pandemics when developing tourist destinations.

• Journal of Korean Society of Rural Planning
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• v.24 no.3
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• pp.43-54
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• 2018

The residential population of Jeju Island has increased more than 10% for last 10 years. Especially, the tourist population is more than twice comparing to 2005. The population growth of Jeju has brought about large-scale urban development and increased land demands for tourism services. The goal of this study is to analyze the human, social, and environmental status of Jeju Island and to evaluate the environmental capacity of land use using ecological footprint (EF) model. This study shows the changes in ecological deficits of Jeju Island through estimating ecological productive land (EPL) considering EF from 2005 to 2015. The categories of total EF consists of food land, built-up land, forestry, and energy consumption. In order to reflect the characteristics of resort island, we consider not only residential population but also tourist population who can increase land demands. The outputs of this study also provide the potential excess demands of EPL and suggest needs of sustainable management plans for the limited land of Jeju Island.

• Journal of Korean Society of Rural Planning
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• v.17 no.1
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• pp.1-11
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• 2011

본 연구에서는 ARIMA(Autoregressive Integrated Moving Average) 모델을 이용하여 농촌관광마을의 월별 관광객을 추정하였다. 단일 마을에 대한 시계열 자료를 경상북도 안동시에 위치한 하회마을을 대상으로 구축하였다. 월별 시계열 자료는 2000년부터 2010년까지 구성되었는데(2008년도 누락), 2000년에서 2007년까지 자료는 최적 모델의 도출에 나머지는 예측치의 검정에 사용되었다. 연구 결과 최적모델에 필요한 시계열 자료의 길이는 6년으로 나타났으며, 최적모델은 계절성을 고려한 SARIMA(2,1,1)(1,1,2)12로 나타났다. 최적 시계열 년수로 나타난 6년을 사용하여 2000-2005, 2001-2006, 그리고 2002-2007의 자료로부터 각각 SARIMA(2,1,1)(1,1,2)12를 도출하여, 차기년도들에 대한 예측결과를 비교한 결과, 높은 $R^2$값을 보였다.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.959-969
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• 2021

This study aims to develop new constructs and indicators for sharia destination image, and then examine its effects on perceived value, tourist satisfaction, and post-visit behaviour. Furthermore, it analyses the mediating role of perceived value and tourist satisfaction on relationship between sharia destination image and post-visit behaviour. The population were domestic and Malaysian Muslim tourists who visited Aceh during the study period. The sampling was carried out in two stages. The first stage involved selecting most visited districts. The second stage involved randomly selecting tourists who visit during the study period in the districts. Data was collected using a structured questionnaire with a Likert scale. Also, a total of 270 questionnaires were distributed to domestic and Malaysian tourists in Aceh. Cluster sampling was used to determine the sample area, and purposive sampling technique was used to determine the study sample. Furthermore, the data analysis technique is Structural Equation Modelling. The results showed that the sharia destination image has a significant effect on perceived value. Meanwhile, the perceived value significantly influenced tourist satisfaction and post-visit behaviour. In addition, the perceived value and tourist satisfaction can mediate the effects of sharia destination image, which has no direct effect on post-visit behaviour.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.131-140
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• 2019

This study compares and analyzes the spatial distribution of people in two cities using location information in twitter data. The target cities were selected as Paris, a traditional tourist city, and Dubai, a tourist city that has recently attracted attention. The data was collected over 123 days in 2016 and 125 days in 2018. We compared the spatial distribution of two cities according to the two periods and residence status. In this study, we have found a hot place using a spatial statistical model called dart-shaped space division and estimated the urban area by reflecting the distribution of tweet population. And we visualized it as a CDF (cumulative distribution function) curve so that the distance between all the tweets' occurrence points and the city center point can be compared for different cities.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.413-418
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• 2020

The travel pattern of tourists for the development of the tourist course is designed to collect and analyze tourist information based on the big data of the carrier to improve the quality of the tourist course. In particular, the analyzed data is used to derive empirical data that can estimate the effect of tourists' inflow into tourism, and to utilize the information as basic data for the development of the tourist course. In addition, the travel pattern of tourists for the development of regional tourism courses is to collect and analyze information on the route and duration of tourists' travel based on big data collected by telecom operators, credit card companies and other data to improve the quality of tourist course development, and to derive empirical data to estimate the effect of tourist inflow through the analyzed data, based on the characteristics of the tourism course and the data needed for the development of new tourist courses in the future.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.553-563
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• 2021

Customer value has long been believed to be a direct trigger for increased tourist satisfaction, but as a mediating variable, it still needs to be proven further. This paper aims to examine the causal relationship between research variables, as well as to examine the role of customer value as a mediating variable in the relationship between service quality, brand quality, tourism products, customer value, and tourist satisfaction with tourists' objects. The population is tourists who visit tourist sites/destinations in the Gianyar Regency on the island of Bali, Indonesia, and the sample size is 270 respondents, selected through random sampling. Structural equation modeling (SEM), a multivariate statistical analysis technique, is used to analyze the causal relationships between variables. The results show that the model is accepted, and customer value is proven to be a positive mediating variable. The results also show that service quality, brand quality, and tourism products have an effect on customer value. This provides insight into the practical implications for tourism managers to increase the brand quality of tourist attractions as well as increase the professionalism and quality of tour guide services. This, in turn, will increase customer value and increase tourist satisfaction.

• 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 Society of Integrative Medicine
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• v.12 no.3
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• pp.61-70
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• 2024

Purpose: The Asan Hot Springs are adjacent to the Seoul Metropolitan area and have excellent traffic access. However, a steady decline in tourist numbers followed the decline in the urban population. This study aims to provide participants with a hot springs visit as part of their independent tourism experience and then analyze their feedback to obtain meaningful suggestions to enhance local tourism. Methods: We recruited 12 families interested in taking a two-day, one-night tour, including a visit to the Asan Hot Springs. Participating families were grouped into two cohorts (Type C and Type A) depending on whether they included children aged one to ten. Each family answered a survey regarding their overall satisfaction with the Asan Hot Springs and provided targeted feedback regarding hot spring resorts, accommodations, restaurants, adjacent tourist spots, and tourism costs. Results: Most of the families that participated in the study were residents of Seoul, Incheon, or Kyunggi (74.47%); the majority were two-generation families (75%) with children (75%). The Type C group enjoyed the campsite (55.56%) accommodations at the Asan Hot Springs more than their Type A counterparts. Families visited an average of 3.6 places during their stay, and 61.11% of participating families visited entertainment and tourist attractions, including the Type C visit to the thermal bath. Compared with Type A, Type C families spent more on tourism and were more satisfied with the entertainment and tourist attractions experience. Overall, all study participants were satisfied with the thermal sources. Conclusion: Our results indicate that families with children have a higher added value than visitor groups consisting only of adults. Considering the significant impact on the local economy, the Asan Hot Springs and associated tourist attractions and services should be developed with these visitors in mind.