• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.409-418
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• 2011

An aims of this study is to examine substitute or complementary among types of special interest tourism and a causal relationship between total individual tourism demand and each types. Of 500 surveyed respondents in Seoul, 348 was valid to analyse. As statistical analysis method, correlation analysis was utilized for substitute or complementary and Econometrics models were applied for causal relationship. The results of this study demonstrate that agro tourism and ocean tourism lie on substitute which means competitive. Also, ocean tourism has had more impacted on total individual tourism demand than any other types of special interest tourism.

• Journal of the Korean Data and Information Science Society
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• v.12 no.2
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• pp.103-111
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• 2001

Now a day, overseas tour which is due to economic development grows very much. In this situation, a forecast of overseas tour is required to establish tourism policy for tourism marketing. In this paper, we compare regression model and gravity model for a forecast of overseas tour. Using gravity model, this study also suggests an attraction which is suitable to our situation, and suggested attraction is compared and analyzed with another.

• Journal of the Korean Regional Science Association
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• v.31 no.1
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• pp.65-81
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• 2015

The purpose of this study is to analyze the tourism demand elasticity of travel time distance on domestic destinations in Korea. Piecewise Linear Regression Model was applied to estimate the elasticities based on the Korea National Tourism Survey. It is found that the tourism demand elasticities by tourist distances decrease by 0.005% if time distance increase by 1 minute. In the first section, the most nearest distance is less than 11.6 minutes from the origin, elasticities increases by 0.206% of tourism demand, whereas in second section (from 11.7 to 75.1 minutes) and third section (more than 75.2 minutes) it decreases by 0.106% and 0.021%, respectively. The third section with sharply rising distance decay rate can be interpreted as the Effective Tourism Exclusion Zone of domestic tourists in Korea. Additionally, the more tourism demand is appeared at the younger age group than older age group, single travellers than group travellers, and people in Metropolitan Areas than in smaller cities.

• Journal of Navigation and Port Research
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• v.33 no.10
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• pp.757-769
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• 2009

This paper is intended to forecast the demand for tourism of fishing regions and find the public policies to activate it. The paper focuses on the east coast regions in Gangwon-do. The analysis was conducted through time series analyses and surveys of the tourists in the regions. The results of analyses showed that, while the number of tourists(both domestic and foreign) to the regions has increased, the regions have not been able to accommodate them enough to help improve economies of the regions. It was forecasted that the number of tourists will significantly increase in the future. However, that rates of increase, especially the rates of increase of foreign tourists, cannot be evaluated positively compared to those of the past. These results suggested a few local governmental policies to activate tourism in the regions.

• International Area Studies Review
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• v.13 no.3
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• pp.413-438
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• 2009

Tourism is an attractive field of industry to many countries due to its strong potentials in increasing employment rates as well as improving the national image. The positive effect of the tourism on the national economy and globalization has been recognized in Korea. A multilateral effort has been made in order to develop its tourist industry. Therefore, it is necessary to analyze the patterns of tourism demand in Korea. The present study analyzes and demonstrates the effects of a nation's characteristics on tourism demand. The study model was based on factors that affected tourism demand, especially emphasizing on the economic size, distance, national income, and language differences from the mother country. In particular, this study highlights the effects of economic relations between the countries and their exchange rate on tourism demand. In summary, this thesis demonstrates that actual national and international panel data enhance the credibility of the research and precisely determine factors that have a direct influence on tourism demand. A corresponding strategy of development and products are required as most tourists show the preference in advanced nations.

• Journal of the Korean Society of Marine Environment & Safety
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• v.13 no.4
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• pp.87-93
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• 2007

Tourists' needs are changing rapidly and new niche markets, such as nature tourism, eco-tourism, and marine tourism, are flourishing in response to consumer demand. Especially, the estimating demand & supply of manpower in marine tourism is a very important issue for basic tourism HRD policy. This research is focused on the estimation of growing demands of manpower and suggests the method to estimate the proper number of manpower in marine tourism industry.

• International Area Studies Review
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• v.14 no.1
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• pp.279-298
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• 2010

This paper investigates the characteristics of Korean international tourism demand for selected 13 destination countries by estimating income and travel price elasticities using quarterly data from 1990:1 to 2006:2. Major findings of this paper could be summarized as follows. First, long-run equilibrium relationships between Korean international tourism demand for 13 destination countries, real income and travel price variables are confirmed. Second, the estimated income elasticities of Korean tourism demand for 13 destination countries are all elastic; especially, those for Australia, Philippine, Thailand and China are very elastic. And their estimated values vary with destination countries, which implies the income effects for 13 destination countries are all different; however there is no evidence that the income effects could be characterized by traveling distances. Third, the estimated travel price elasticities of Korean tourism demand for 13 destination countries also differ from destination countries; in most cases, they are elastic except those for Hong Kong and United States. The most travel price elastic countries are Canada, Australia and New Zealand.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.35-37
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• 2021

Analyzing and predicting foreign tourists' demand is a crucial research topic in the tourism industry because it profoundly influences establishing and planning tourism policies. Since foreign tourist data is influenced by various external factors, it has a characteristic that there are many subtle changes over time. Therefore, in recent years, research is being conducted to design a prediction model by reflecting various external factors such as economic variables to predict the demand for tourists inbound. However, the regression analysis model and the recurrent neural network model, mainly used for time series prediction, did not show good performance in time series prediction reflecting various variables. Therefore, we design a foreign tourist demand prediction model that complements these limitations using a convolutional neural network. In this paper, we propose a model that predicts foreign tourists' demand by designing a one-dimensional convolutional neural network that reflects foreign tourist data for the past ten years provided by the Korea Tourism Organization and additionally collected external factors as input variables.

• 열린충남
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• s.38
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• pp.4-17
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• 2007

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.103-117
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• 2006

This study develops an agent-based simulation model to evaluate tourist information systems under ubiquitous environment. In this study, individual tourist's activity chaining behavior is formulated as a utility maximization problem. The underlying assumption of the model is that tourists increase their activities within their time and budget constraints to maximize their utilities. The model seeks individual's optimal tour schedule by solving Prize-Collecting Multiple-Day Traveling Salesman Problem(PC MD TSP). The simulation-based evaluation framework allows investigating individual utility gains by their information type and the total expenditure at each tour attractions. The real-time tour activity scheduling system enables tourists to optimize their tour activities by minimizing their time loss and maximizing their opportunity to use high utility facilities.