• 농촌계획
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• 제10권1호
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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.

• 토지주택연구
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• 제9권4호
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• pp.10-18
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• 2018

As the volatility increasement of the number of tourist, there was been controversy over supply-demand imbalance in hotel market. The purpose of this study is to analysis on determinants of hotel occupancy rate in Jeju Island. The quantitative method is based on cointegrating regression, using an empirical dataset with hotel from 2000 to 2017. The primary results of research is briefly summarized as follows; First, there are high relationship between total hotel occupancy rate and hotel occupancy of foreign tourist. The volatility of hotel occupancy is caused by foreigner user than local tourists though local tourist high propotion of hotel occupancy in Jeju Island. Second, hotel occupancy of local tourist has not relationship with demand and supply variables. Because some hotel users are not local tourists but local resident, and effects to other variables of hotel consumer trend, accommodation such as Guest house, Airbnb. Third, there are high relationship between foreign hotel occupancy rate and demand-supply variables. These research imply that total management of supply-demand is very important to seek stability of hotel occupancy rate in Jeju Island. Also it can provide a useful solution regarding mismatch problem between supply-demand as well as development the systematic forecasting model for hotel market participants.

• 한국정보시스템학회지:정보시스템연구
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• 제26권3호
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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.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.35-37
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• 2021

외래 관광객 수요를 분석하고 예측하는 것은 관광 정책을 수립하고 기획하는데 지대한 영향을 미치기 때문에 관광 산업 분야에서 매우 중요하다. 외래 관광객 데이터는 여러 외적 요인들에 의해 영향을 받기 때문에, 시간에 따른 미세한 변화가 많다는 특징을 갖는다. 따라서, 최근에는 관광객 입국자 수요를 예측하기 위해 경제 변수 등 여러 외적 요인들도 함께 반영하여 예측 모델을 설계하는 연구를 진행하고 있다. 그러나 기존의 시계열 예측에 주로 사용되는 회귀분석 모델과 순환신경망 모델은 여러 변수들을 반영하는 시계열 예측에 있어 좋은 성능을 보이지 못했다. 따라서 우리는 합성곱 신경망을 활용하여 이러한 한계점들을 보완한 외래 관광객 수요 예측 모델을 소개한다. 본 논문에서는 한국관광공사에서 제공한 과거 10개년 외래 관광객 데이터와 추가적으로 수집한 여러 외적 요인들을 입력 변수로 반영하는 1차원 합성곱 신경망을 설계하여 외래 관광객 수요를 예측하는 모델을 제시한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.638-644
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• 2008

Mungyeng line(Jupyung${\sim}$Mungyeng) was closed due to a rapid decrease in demand in 1995. However, as the rail transportation demand is expected to increase with the plan to develop a tourist resort and a traffic network in Mungyeng area, it is required to forecast future demand to meet the change of transportation environment in this region. This study predicts the rail transportation demand and analyzes financial benefit in operator's side in case of reopening this line, based on nation-wide traffic volume data from Korean Transportation Database(KTDB). The results of this research can be applied to not only establishing a train operation plan also improving customer service. Moreover, Korail will have an opportunity to develop new business by linking train service to tourist attractions around the Mungyeng area.

• 한국ITS학회 논문지
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• 제19권3호
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• pp.75-89
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• 2020

본 연구는 우리나라에서 수행된 관광교통 관련 연구를 조사하고 이를 토대로 보완 연구 과제를 발굴하는 목적으로 수행하였다. 연구대상은 학술논문 28건과 연구기관의 정책연구 12건 등 40건이다. 연구 진행은 관광교통의 특성과 선행연구 사례를 토대로 관광교통의 연구 분야를 관광교통 수단, 관광교통 정보, 관광교통 지원정책 등 3개로 나누어 분석하였다. 특히 관광교통 수단은 관광교통에서 차지하는 중요성과 연구사례의 비중을 반영하여 4개 세부 분야로 구분하였다. 연구 결과, 관광교통에 관한 연구사례가 많지 않으며 연구 분야도 관광교통 수단에 편중된 것으로 나타났다. 이를 보완하기 위해 본 연구는 관광수요의 변화와 관광 트렌드를 반영하여 3개 분야에 걸쳐 10개의 새로운 보완연구 과제를 제안하였다. 아울러 교통시설 공급과 관광수요의 연관성을 모색하는 것을 새로운 연구 분야로 제안하였다.

• 한국환경과학회지
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• 제24권4호
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• pp.555-559
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• 2015

Tourists travel demand can be divided into the watch the natural landscape, such as shopping, entertainment and other projects. Each travel demand with motivation for meet the requirements of appropriate tourism space environment in order to complete. In this paper, through questionnaire investigation and SD (Semantic Differential) method for the basic attributes of shopping tourists and spatial characteristics of commercial pedestrian street. And analyzes the basic attributes of shopping as the main demand of tourists characteristics and the spatial characteristics of the suitable shopping demand, to provide a scientific basis for the design of tourist shopping space.

• 동아시아경상학회지
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• 제2권4호
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• pp.56-64
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• 2014

Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• 동아시아경상학회지
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• 제1권2호
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• pp.29-41
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• 2013

Purpose: Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Research Design, Data and Methodology: Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. Results: The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. Conclusion: This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• 한국지역지리학회지
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• 제2권1호
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• pp.115-131
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• 1996

본 연구는 관광객의 관광행태적 특성을 고찰하기 위한 연구의 일환으로, 전남 동부지역에 거주하는 주민들이 주변의 관광지에 관한 인지 및 선호도와 관광행태간의 관련성을 관광지리학적 측면에서 고찰한 시론적인 연구이다. 지역 주민들은 전남 동부지역에 분포한 관광지 및 관광자원에 대해 매우 긍정적인 인식을 가지고 있는 반면, 관광지가 보유하고 있는 관광편익시설에 대해서는 부정적으로 인식하고 있어 관광편익시설의 개발 및 확충이 필요한 것으로 나타났다. 연구지역내 주민들이 가장 선호하는 대표적인 관광지는 향일암, 거문도 백도, 오동도로 분석되었다. 방문빈도가 가장 높은 관광지는 여수 오동도를 비롯하여 선암사, 송광사, 흥국사, 향일암, 백운산 등의 순으로 나타나 해양형 관광지가 아민 내륙의 산악형 관광지를 주로 방문한 것으로 조사되었다. 계절별 관광지 선호도에서는 봄에는 오동도와 백운산을, 여름에는 거문도백도와 성불계곡 등 해상관광지를, 가을에는 송광사와 백운산 등 사찰 중심의 산악형 관광지를 가장 선호하였다. 전남 동부지역의 주민들은 지역에 분포하는 다양한 관광지에 대해 높은 인지도와 선호도를 나타냈으나 개별 관광지의 편익시설 미흡으로 인하여 방문빈도는 상대적으로 낮았다.