• Journal of the Korean association of regional geographers
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• v.11 no.3
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• pp.336-350
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• 2005

The prime objective of this study is to analyze tourist's behaviors and satisfaction of the Gwangneung area and get a reading on the tourist's socio-economic traits and the propensity of activities. In addition, it highlights surveys of the tourist's consciousness of cultural, ecological and environmental tourism resources available in the Gwangneung area and the possibility for sustainable development and ways to make the most of these resources. This study found that even though Gwangneung is mostly a place for one day family outings. the tourist's demand for actually unreachable ecological resources is high while existing cultural tourism resources have less than the expected drawing power. It was also found that tourists recognize the need for preservation of the tourism resources of Gwangneung and its potential for further sustainable development. In particular, most tourists to Gwangneung are relatively satisfied with the status of preservation of its cultural and ecological resources and environment On the other hand, accessibility, tourism facilities, and management are estimated at less than desired. Gwangneung would benefit by making efforts for the positive use of its tourism resources and improvement of convenience facilities, management and operation.

• Journal of the Korean Geographical Society
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• v.40 no.3 s.108
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• pp.321-334
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• 2005

This study aims to calculate reasonable carving capacity of the Gwangneung area and to review its tourism policies from the perspective of the tourist's demands. According to the analysis results, The socio-psychological carrying capacity by targeted intervals of time is generally underestimated and less than desired. Parking lots followed by stores and then roads are the biggest issues weighing down the area's carving capacity Also, another finding shows that the physical carrying capacity, analyzed based on area use, is estimated for 600 tourists and 130 cars. This study recommends following that Gwangneung establish various tour programs linking its cultural and historical sites to forest and ecological resources. Further to this, Gwangneung might be better off exerting efforts to developing environmental education programs and training more cultural and ecological guides. The findings necessitate that should be made off limits to cars, and instead servicing the area with shuttle buses. Management offices can also be classrooms used for cultural, historical and ecological education and exhibitions. Other findings suggest an expansion of convenience facilities such as more potable water stations, benches, resting areas and a continued monitoring of tourism activities in the area.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.