• Journal of Smart Tourism
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• v.2 no.3
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• pp.31-38
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• 2022

Understanding demand for travel websites can help hoteliers better evaluate their own multi-channel distribution and reputation management strategies. In this study, we estimated demand for eight major travel websites based on the user percentage in 3,120 U.S. counties. Results highlighted the importance of four types of factors: sociodemographic, economic, Internet use-related, and travel-related. Differences between websites were also compared based on estimated coefficients. For example, the demand for Expedia.com appeared to be driven by age, education background, income, and foreign travel history, whereas the demand for Hotels.com was driven by the proportion of the African American population and domestic travel history. Lastly, implications are provided.

• Journal of Distribution Science
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• v.10 no.9
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• pp.5-11
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• 2012

Purpose - The objective of the paper is to explain both the price sensitivity of international tourists to South Korea and the price sensitivity of Korean tourists to international travel. The study examines long-run equilibrium relationships and Granger causal relationships between foreign exchange rates and inbound and outbound tourism demand in South Korea. Research design/ data / methodology - The study employs monthly time series data from January 1990 to September 2010. The paper examines the long-run equilibrium relationship using the Johansen cointegration test approach after unit root tests. The short-run Granger causality was tested using the vector error correction model with the Wald test. Results - Hypothesis 1 testing whether there is a long-run equilibrium relationship between exchange rates, inbound and outbound tourism demand is supported. Hypothesis 2 testing whether exchange rates lead to a change in touristarrivals and expenditure is not supported. Hypothesis 3 testing whether exchange rates lead to a change in tourist departures and expenditure is supported. Conclusions - The findings of this study show that the impacts of tourism price competitiveness are changing quite significantly with regard to destination competitiveness. In other words, the elasticity of tourism price over tourism demand has been moderated.

• 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.

• 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.

• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• 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 Korean Society of Forest Science
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• v.99 no.1
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• pp.36-46
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• 2010

The purpose of this research was to derive political suggestion to increase the demand for forest visit by analyzing the demand of forest visitors, focusing on the residents of Seoul and capital areas. The determinants of demand, which is the number of forest visit in a year, were analyzed by independent variables; six factors from factor analysis on selective attributes, demographic characteristics, and other variables related with the general matters when visiting a forest. As a result, among the independent variables, selective attribute (tourism resource factor), gender (male), and residency (Seoul) were found out to have positive(+) effect on demand for forest visit. However, other selective attribute (external factor of forestry), occupation (white-collar employee), and level of education (over college graduate) were found out to have negative(-) effect on demand for forest visit. Based on these results, implications for the expansion of demand for forest visits were derived.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.915-929
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• 2023

Improvements in people's quality of life, diversification of leisure activities, and changes in population structure have led to an increase in the demand for tourism and an expansion of the diversification of tourism activities. In particular, for coastal cities where land and marine tourism elements coexist, various factors influence their tourism demands. Tourism requires the construction of infrastructure and content development according to the demand at the tourist destination. This study aims to improve the prediction accuracy and explore influencing factors through time series analysis of tourism scale using agent-based data. Basic local governments in the Busan area were examined, and the data used were the number of tourists and the amount of tourism consumption on a monthly basis. The univariate time series analysis, which is a deterministic model, was used along with the SARIMAX analysis to identify the influencing factor. The tourism consumption propensity, focusing on the consumption amount according to business types and the amount of mentions on SNS, was set as the influencing factor. The difference in accuracy (RMSE standard) between the time series models that did and did not consider COVID-19 was found to be very wide, ranging from 1.8 times to 32.7 times by region. Additionally, considering the influencing factor, the tourism consumption business type and SNS trends were found to significantly impact the number of tourists and the amount of tourism consumption. Therefore, to predict future demand, external influences as well as the tourists' consumption tendencies and interests in terms of local tourism must be considered. This study aimed to predict future tourism demand in a coastal city such as Busan and identify factors affecting tourism scale, thereby contributing to policy decision-making to prepare tourism demand in consideration of government tourism policies and tourism trends.

• Land and Housing Review
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• v.13 no.3
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• pp.1-20
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• 2022

This study analyses how much Korean visits to North Korea have an impact on the North Korean regional economy. It estimates the demand for North Korean tourism via the borders of North Korea, China, and Russia and South Korean expenses to be spent in North Korea. When asked if they are willing to visit North Korea within the next five years in case the pre-conditions of the visit to North Korea are satisfied, approximately 64.1% of the survey respondents indicated 'yes'. To estimate the demand, this research employed the analysis of purchase intention, popular in marketing, based on their willingness to visit. The annual demand for tourism was 4,136,361 persons. The average estimated expense per person is KRW 1,532,000 and the total annual expense is KRW 6,336.9 billion. Assuming that airfare is excluded from the total expense and the expense is made evenly in each tourist destination, the estimated amount to be spent in North Korea is KRW 2,838.7 billion per annum. The backward linkage effect of this expense on the North Korean regional economy is KRW 7,972.1 billion in total production inducement, KRW 2,619.4 billion in value-added inducement, and approximately 2,890,443 persons in employment inducement. The value-added inducement effect is estimated to be approximately 7.6% of the North Korean nominal GDP in 2020. South Korean tourism is expected to have a significant impact on the North Korean economy. As the demand for North Korean tourism is likely to increase steadily due to the expected increase in overseas travel demand by Koreans, inter-Korean cooperation is needed for the development of North Korean tourism infrastructure if conditions improve.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.123-130
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• 2023

As part of the research on cultural factors that determine international tourism demand, this study was conducted based on regional interest and the need for understanding religion. The purpose of this study is to empirically test how religious factors affect tourism demand in Korea to find out that religious factors are important considerations in establishing tourism policies and strategies. To achieve the purpose of this study, the research target areas were selected as Thailand, Indonesia, and the Philippines, which have relatively many tourists visiting Korea among Southeast Asian countries and are well known for their religious characteristics. GDP and nominal exchange rate, which are economic factors, were selected as explanatory variables. And religious diversity was selected as a characteristic factor variable of the tourism demand model based on the characteristic theory. An empirical analysis was conducted through a gravity model. As a result of the estimation, it was found that GDP has a positive effect on tourism demand in Korea. Nominal exchange rate variables and religious diversity variables were found to have a negative effect on tourism demand in Korea. We have confirmed that religion is an important factor in choosing tourist destinations for Filipino, Thai, and Malaysian tourists visiting Korea, and they choose religiously similar destinations.