• 농촌지도와개발
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• 제19권2호
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• pp.301-320
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• 2012

The study uses a seasonal ARIMA model to forecast the number of tourists of Yeongdeok in an uni-variable time series. The monthly data for time series were collected ranging from 2006 to 2011 with some variation between on-season and off-season tourists in Yeongdeok county. A total of 72 observations were used for data analysis. The forecast multiplicative seasonal ARIMA(1,0,0)$(0,1,1)_{12}$ model was found the most appropriate one. Results showed that the number of tourists was 10,974 thousands in 2012 and 13,465 thousands in 2013, It was suggested that the grasping forecast model is very important in respect of how experts in tourism development in Yeongdeok county, policy makers or planners would establish strategies to allocate service in Yeongdeok tourist destination and provide tourism facilities efficiently.

• 아태비즈니스연구
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• 제14권4호
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• pp.343-356
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• 2023

Purpose - This study attempted to predict short-term transportation demand using trains and getting off at Gangchon Station. Through this, we present numerical data necessary for future tourist inflow policies in the Gangchon area of Chuncheon and present related implications. Design/methodology/approach - This study collected and analyzed transportation demand data from Gangchon Station using the Gyeongchun Line and ITX-Cheongchun Train from January 2014 to August 2023. Winters exponential smoothing model and ARIMA model were used to reflect the trend and seasonality of the raw data. Findings - First, transportation demand using trains to get off at Gangchon Station in Chuncheon City is expected to show a continuous increase from 2020 until the forecast period is 2024. Second, the number of passengers getting off at Gangchon Station was found to be highest in May and October. Research implications or Originality - As transportation networks are improving nationwide and people's leisure culture is changing, the number of tourists visiting the Gangchon area in Chuncheon City is continuously decreasing. Therefore, in this study, a time series model was used to predict short-term transportation demand alighting at Gangchon Station. In order to calculate more accurate forecasts, we compared models to find an appropriate model and presented forecasts.

• 유통과학연구
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• 제10권9호
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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.

• 한국식생활문화학회지
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• 제21권4호
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• pp.388-395
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• 2006

The purpose of this study was to analyze the current operating management practices and tourist royalty of restaurants at the tourism provinces in Donghae city. Forty restaurants were surveyed for sales status, customer management, menu management, advertising, marketing strategy and seventy seven tourists replied to the attitudinal and behavioral aspects of customer royalty for regular visiting restaurant. Statistical data analyses were completed using the SPSS/WIN pact(age program for descriptive analysis, paired difference test, t-test, ANOVA, and pearson correlation. The results of quantitative analysis indicated that the average sales per day on a high-demand season were 1,571 thousand won and one on a slack season were 614 thousand won. The average check on a high-demand season(109 persons) and a slack season(38 persons) were significant difference(t=6.834, p<.001). A total of 93.5% of the restaurateurs answered that menu pricing was decided by the owner and 21.7% of the subjects used the only restaurant homepage in the advertising method. A total of 40.6% of the restaurants utilized the only kind service for regular customers and 35.1% of the subjects had no method for them. The results suggest that systematic management policies and marketing strafes for regular customer is very necessary. Also, the correlation between tourists' attitudinal and behavioral aspects of customer royalty for regular visiting restaurant was found out. High correlation was existed between the overall tourists' satisfaction on regular visiting restaurant, the intention to revisit(BCL 1, p<.001), the intention to recommend(BCL 2, p<.001), and indicators of customer royalty. Finally, restaurateurs at the tourism provinces should focus on marketing strategy to keep and improve current customer to rise the tourist royalty.

• 지적과 국토정보
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• 제49권2호
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• pp.135-149
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• 2019

본 연구는 고속도로의 투자로 인한 공간적 접근성 변화가 관광객지출구조 및 지역경제에 미치는 효과를 분석하였다. 분석방법은 SUR(Seemingly Unrelated Regressions)기법을 사용하여 강원도의 관광지출구조의 변화를 분석하고, 관광객 유치를 둘러싼 강원도 18개 시군의 지역간 경쟁 및 보완관계는 덴드리노스-소니스(Dendrinos-Sonis) 모형을 적용하여 확인하였다. 공간적 접근성의 개선은 관광지출액의 증가에 유의미한 효과를 나타내지만, 접근성 1% 상승 시 체재기간 -0.18%, 여행비용은 -0.34%를 각각 감소시켰다. 시군별 관광사업체 1개소가 늘어날 때, 관광지출액은 3.6% 증가하였으며, 이를 통해 관광서비스 공급이 지역경제 개선에 효과적인 수단임이 확인되었다. 강원도 시군 간 관광수요의 경쟁 및 보완관계는 기능상으로 내륙형 혹은 해양형 관광지 여부, 지리적 인접여부, 통과교통 발생 등에 의하여 결정되었다. 강원도는 관광객 유인을 위한 교통기반시설의 지속적 확충과 함께 체재기간 연장을 위한 서비스 공급 및 질적 관리가 필요하며, 지역간 보완관계가 높게 나타나는 강릉, 동해, 속초, 원주 등을 중심으로 관광객 극대화를 위한 지역클러스터 전략 수립이 중요하다고 판단된다. 본 연구의 한계는 우선 자료의 제약으로 고속도로 개통 전후의 실제 관광지출액을 토대로 한 변화를 규명할 수 없었고, 공간적 접근성의 적정 수준에 대한 후속 연구가 필요하고 판단된다.

• 유통과학연구
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• 제15권10호
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• pp.51-63
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• 2017

Purpose - The current study examines the shopping behavior of Chinese tourists who purchase Korean cosmetics when visiting Korea, based on expectancy-disconfirmation of shopping satisfaction and brand attitude toward Korean cosmetics. A moderating effect of consumer conformity on the relationships between cosmetics selection factors and two dimensions of disconfirmation - expectation and performance is also examined. Research design, data, and methodology - We conducted a survey with 250 Chinese tourists who visited Jeju, Korea and had purchased Korean cosmetics during their stay. Excluding 43 respondents' inputs because of incomplete answers and missing values, 207 responses were used in the final analysis. All hypotheses were tested using structural equation model (SEM). Results - We found that the Chinese tourist expectations had positive impact on their satisfaction, and the factors for cosmetic selection had a positive effect on shopping satisfaction and brand attitude. A moderating effect of consumer conformity was found to be significant. Conclusions - Given the significantly increased demand for Korean cosmetics from Chinese tourists, Korean cosmetics firms need to better understand cosmetics selection attributes and preference of Chinese tourists, which can provide a guideline to develop retail stores and distribution outlets for Chinese tourists.

• 한국항만경제학회지
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• 제27권4호
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• pp.219-235
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• 2011

오늘날 세계화와 지방화가 진전되는 가운데, 국가 간 FTA가 활성화되고 있다. 또한 Dubai, 상하이 푸동, 톈진 빈해신구 등 경제자유지역(Free Zone) 등이 활발히 전개되고 있는 가운데 우리나라에서는 새만금지구가 동북아의 성장거점으로서 개발이 진행되고 있다. 본 연구는 급변하는 동북아 항만해운환경 속에서 새만금지구가 국가발전의 성장동력의 역할을 할 수 있도록 주요 연구기관의 새만금신항에 대한 수요예측치를 비교 검토하고 새만금 신항의 적정개발규모 및 기타 개발방안을 제시하는데 목적이 있다. 결론으로는 첫째 보다 정교한 새만금신항만 수요의 추정 및 보완이 요구, 둘째 컨테이너전용 부두 및 식품전용부두의 개발, 관광활성화를 위한 크루즈항만의 개발 등이 제시되었다.

• 농촌계획
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• 제30권2호
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• pp.13-24
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• 2024

This study conducts an analysis of social media big data pertaining to island tourism resources, aiming to discern the diverse forms and categories of island tourism favored by consumers, ascertain predominant resources, and facilitate objective decision-making grounded in scientific methodologies. To achieve this objective, an examination of blog posts published on Naver from 2022 to 2023 was undertaken, utilizing keywords such as 'Island tourism', 'Island travel', and 'Island backpacking' as focal points for analysis. Text mining techniques were applied to sift through the data. Among the resources identified, the port emerged as a significant asset, serving as a pivotal conduit linking the island and mainland and holding substantial importance as a focal point and resource for tourist access to the island. Furthermore, an analysis of the disparity between existing island tourism resources and those acknowledged by tourists who actively engage with and appreciate island destinations led to the identification of 186 newly emerging resources. These nascent resources predominantly clustered within five regions: Incheon Metropolitan City, Tongyeong/Geoje City, Jeju Island, Ulleung-gun, and Shinan-gun. A scrutiny of these resources, categorized according to the tourism resource classification system, revealed a notable presence of new resources, chiefly in the domains of 'rural landscape', 'tourist resort/training facility', 'transportation facility', and 'natural resource'. Notably, many of these emerging resources were previously overlooked in official management targets or resource inventories pertaining to existing island tourism resources. Noteworthy examples include ports, beaches, and mountains, which, despite constituting a substantial proportion of the newly identified tourist resources, were not accorded prominence in spatial information datasets. This study holds significance in its ability to unearth novel tourism resources recognized by island tourism consumers through a gap analysis approach that juxtaposes the existing status of island tourism resource data with techniques utilizing social media big data. Furthermore, the methodology delineated in this research offers a valuable framework for domestic local governments to gauge local tourism demand and embark on initiatives for tourism development or regional revitalization.

• 농촌계획
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• 제14권2호
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• pp.33-42
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• 2008

Recently, rural leisure by urban dwellers has been recognized as a catalyst for regional development or restoration. The federal government implemented several regional planning policies attempting to address this phenomenon in the late nineties. However, most of these policies focused on supply-centered planning, which caused a diverse set of problems relating to the sustainability and economic validity of the planning. Instead, this study focuses on the re-visitation one of the demand variables, with the intention of analyzing the character of rural leisure demand and its re-visitation choice attributes. For these reasons, this study investigates the character of current rural leisure demand, and develops functional equations about urban people who visit rural areas, using logit model. The results of this study can be summarized as follow: Urban people are visiting rural areas from nearby cities or metropolitan areas that are within 3 hours driving distance, and over 80% of rural visitors are one-day visitors. Therefore, most of their visitation activities should be understood as rural leisure, including rural tourism. In addition, the likelihood of the rural tourist to make a return visit is influenced by their transportation means, product purchasing, staying period and travel time. The results of such rural leisure demand can provide information for regional planning strategies, such as selection of target market, type of market segments, improvement of recognition level, activity program price, facility and space planning, produce sale and connection with tour site.

• 농촌계획
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• 제17권1호
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• pp.59-65
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• 2011

Re-visitation have an effect on dependent variables of regional tourism demand model. This study focused on the re-visitation impacts of consideration on sustainable tourism development of tourists as a new factors of tourism. Based on literature reviews, 11 variables were selected, a questionnaire survey was given to 406 tourists divided into 5 tourism sites at Chuncheon city, and logit model and probit model were used for analysis. The fitness levels of two models were very significant(p=0.0000). The study results suggest that the likelihood of the rural tourist to make a return visit is influenced by recognition of sustainable tourism, purchase of souvenir and farm produce, visitation of regional shops, conversation with regional residents, residents' participation on development, age and marriage. The results of such re-visitation demand can provide information for regional development strategies. The approach to re-visitation research impacts of consideration on sustainable tourism development is expected to become a useful foundation in studying on sustainable regional development.