• Culinary science and hospitality research
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• v.22 no.2
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• pp.176-188
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• 2016

The main purposes of this study is to examine a local restaurants menus' importance and satisfaction of the servicescape. Survey was collected by December 1 through December 31 2015, in the region Kijang County. the data from this survey were analyzed by using various statistical techniques including frequency tables, factor analysis, reliability test, and IPA. Results of IPA analysis showed that menu consisted of local products is the highest average value, and it means the local food restaurants need to use the nostalgic marketing techniques. In addition, menus are currently for sale in order to attract continuing foreign tourists as perceived by Busan residents Kijang. Therefore, the local food restaurants need to revive the traditional flavors and recipes coming down area from ancient times. Based on these results, this study will contribute to provide fundamental information for developing marketing strategies especially local food restaurants.

• Journal of the Korean association of regional geographers
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• v.8 no.1
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• pp.83-97
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• 2002

In this study we shall compare the differences among Korean tourists' behavioral patterns according to tourists' residences by using statistical techniques on questionnaires for 1,372 tourists around Korea. In conclusion, we found varying degrees of influences among touristic behaviors in relation to residences, We documented 11 out of 14 categories of touristic behaviors in urban/rural areas around Korea. And there were 4 out of 14 categories of those found in provincial areas. Characteristics of urban/rural areas had a significant influence on touristic behaviors compared to provincial areas. Therefore, tour authorities provide for a balanced policy of travel around Korea. As mentioned above, these touristic behaviors had many differences according to urban/rural areas and provinces. We are concerned that these differences are likely to cause psychological disturbances among social classes. I hope that these results will be reflected in the development policies of tourist goods and tour sites.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.58-58
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• 2022

본 연구는 국내 6곳의 풍혈의 기능과 식물분포를 통하여 풍혈의 보전대책과 관리방안을 위한 기초자료를 확보하기 위해 진행하였다. 조사는 홍천 방내리, 정선 여탄리, 정선 운치리, 연천 동막리, 제천 금수산, 보은 구병산에 위치하는 풍혈 6곳을 선정하였고 풍혈에 기상측정장비를 설치하여 2021년 3월부터 2022년 3월까지 온도와 습도의 미기상요인을 측정하였다. 풍혈이 위치하는 지역의 미기상요인은 기상청 자료를 활용하였고 측정된 풍혈의 미기상요인과 비교 분석하였으며, 관속식물상은 계절별로 진행하여 각 풍혈에 서식하는 희귀식물과 북방계식물, 기후변화 취약식물을 분석하였다. 풍혈 6곳의 미기상요인 분석결과 온도는 보은 구병산 풍혈을 제외한 5곳의 풍혈은 여름철 냉혈의 기능을 나타냈고, 보은 구병산 풍혈은 겨울철 온혈의 기능을 하는 것으로 나타났으며, 습도는 6곳 모두 주변 지역보다 높게 나타났다. 멸종위기종 2급은 백부자, 산작약, 연잎꿩의다리 3분류군, 희귀식물은 산개나리, 월귤 등 23분류군, 북방계식물은 과남풀, 꽃개회나무 등 129분류군, 기후변화취약식물은 검종덩굴, 도깨비부채 등 23분류군으로 확인되었다. 풍혈은 기후변화 취약식물의 피난처로서 역할을 하는 것으로 나타났으나 산림유전자원보호구역으로 지정된 홍천 방내리 풍혈을 제외한 나머지 풍혈은 관리가 미흡하다. 정선 여탄리 풍혈은 인근 도로에서의 외래식물의 유입, 정선 운치리 풍혈은 인근의 양봉장과 관광객 등의 인간활동에 의한 훼손, 연천 동막리 풍혈은 인근 경작지 등의 사유지로 인한 관리의 어려움, 제천 금수산 풍혈은 관광지화로 인한 훼손, 보은 구병산 풍혈은 등산객의 답압으로 인한 훼손이 진행되고 있는 것으로 나타났다. 이에 따라 풍혈과 희귀 및 기후변화 취약식물들의 정기적인 모니터링과 풍혈 주변의 팬스 설치 등의 적극적인 보전방안이 필요하다고 판단된다.

• Journal of the Korea Society of Computer and Information
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• v.18 no.7
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• pp.125-137
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• 2013

Seoul city provided u-tourism services for inbound tourists' convenience. These services began in April, 2010 and were completed in advanced way by the end of 2011. Seoul city developed a brand fit to the new services simultaneously for communicating it. Recently, there are so many cities in the world that steadily try to give favorable impression and images to people. In the study, we analyze the process of brand building to present a guideline for city brand and tourism service brand building. The study includes a series of brand making process such as environment of brand, customer analysis, design of brand platform, brand hierarchy, visualization of various brand factors, strategies of operation and performances of brand awareness and draw a conclusion and suggest an advice. As for implication, the study shows the necessity of service brand launching plus Seoul official brand(Hi, Seoul), the service brand including ubiquitous concept, development of brand factors with complementarity and observation of systematical methodology.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.417-424
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• 2013

The purpose of this study is to find out the effect of macroeconomic variables on the hotel profitability and suggest the reasonable way to handle them. To achieve this purpose, seven macroeconomic variables were used as an independent variable. These were the index of industrial production, West Texas Intermediate, the consumer price index, the unemployment rate, the money supply, the trade balance and the exchange rate. And ROA and ROE of total hotels were used as a dependant variable respectively. As the result of regression, it was found that the index of industrial production and the exchange rate had a significant and positive effect on ROA. And West Texas Intermediate, the consumer price index and the unemployment rate had a significant and negative effect on ROA. Also the consumer price index and the unemployment rate had a significant and negative effect on ROE and the exchange rate had a significant and positive effect on ROE. Through the analysis two key variables were found to be very important ones. These were the unemployment rate and the exchange rate. So the hotel managers need to emphasize on the good price of domestic hotel products and supply the various productions and services to the guests when the exchange rate is increased. But when the unemployment rate is increased, the hotel managers should consider to supply the middle price products with the hight price products.

• Journal of the Korean Geographical Society
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• v.31 no.3
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• pp.508-528
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• 1996

The purpose of this study is to analyze the classification of the hierarchy in terms of centrality and the demarcation of shopping areas in the context of goods-purchasing activity in the Kyeong-ju si area (The old Kyeong-ju city and Wol-song Kyn). The basic data for this study include mail questionnaire materials and sources by the on-the-sport survey. The main results of this study are as follows. (1) When forty-two centers within the wide Kyeong-ju area are classified into hierarchies in terms of the functional index and the number of central functions, it is confirmed that there are five hierarchies or classes. Hierachy A is the City of Kyeong-ju. Hierarchy B is the Up of An-gang. Hierarchy Cis made up of three Up of Kam-p'o, Oe-dong and Kon-ch' on. Hierachy D consist of seven Myons and two Ris. Hierarchy E is composed of one Myon and twenty-seven Ris. (2) Hierarchy A has five proper functions of the center. Hierarchy B holds eleven of them. Hierarchy C takes forty-one. Hierarchy D cherish twenty-seven. And hierarchy E has three. Therefor Hierachies C and D have the most functions of all. The threshold populations of the lowest central function is fifty-eight of miscellaneous stores in the central place of Hierarchy E (3) The purchase distance of the central functions of a center becomes farther in the order of barbers' and beauty salons, dental clinics, TV and refrigerator shops, and furniture stores. (4) When the shopping areas are classified according to goods purchase activity, they can be divided into four: the Myon, small Up, big Up, and City areas. Each shopping area can be classified into two categories: the independent areas and compoung areas. The Kyeong-ju city area is the largest city shopping areas of Po-hang and Ull-san are very small.

• 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.