• Proceedings of the Korean DIstribution Association Conference
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• 2007.11a
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• pp.155-178
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• 2007

The purpose of this study is to provide the strategic implication of the Korean open air market by examining the factors affecting their competitiveness. I have undertaken empirical research that uses the methodology of a mixture regression modeling, as a way to ascertain the determinants of competitiveness for the Korean open air market. I construct a mixture regression model which uses the proportions of merchandise categories as explanatory variables and the number of visitors as a dependent variable. The analysis of results show that competitive and non-competitive markets have different proportions of merchandise categories. The finding shows that stock farm products and home appliances are major influencers on the number of visitors in neighborhood markets. The finding also presents that stock farm products and processed foods are major influencers on the number of visitors in small & medium-sized city markets.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.3
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• pp.219-230
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• 2018

The Suncheon Bay National Garden and Suncheon Bay Wetland Reserve in Suncheon city are becoming a famous tourist place in national wide. This study investigates the visitors' behavior and economic impacts of the Mulbit Festival held in Suncheon Bay National Garden from July to August 2017. Results of visitors' behaviors showed that the total number of visitors to the festival were 802,825; 75.0% of respondents were outside visitors; 52% of respondents were accommodation visitors; 52.8% of respondents had a plan to visit downtown of Suncheon city. Results of economic impacts of the Mulbit festival showed that the per capita average consumption expenditure of outside visitors and inside visitors were respectively 112,793 won and 17,269 won; the total direct economic impacts was 57 billion won and production, income, and value added inducement impacts among the total indirect economic impacts were respectively 91.9 billion won, 19.1 billion won, and 41.3 billion won.

• Journal of Korean Society of Forest Science
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• v.85 no.1
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• pp.24-33
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• 1996

The theory of reasoned action was examined as a theoretical model which explains the relationships among belief, attitude, and intention regarding the policy of limiting the total number of visitors per day in the national parks during the high-demand season. Also, effects of persuasive messages developed to change users' attitude toward the policy positively were examined. Among the visitors in Kyeryongsan National Park, 563 visitors participated in on-site and mail survey. The number of visitors who had positive and negative attitudes toward the policy was in the ratio of 43 to 49. A significantly positive relationship was found between the sum of belief and outcome evaluation crossproducts and attitude(r=0.42). Intention could be explained with attitude in an acceptable power ($R^2=0.32$). The visitors who had negative attitude and intention regarding the policy before the treatment were changed positively by the two types of persuasive messages. Among the visitors receiving the persuasive messages, 74% answered that carrying out the policy is good and 66% intended to agree to carrying out the policy. It was indicated that the persuasive messages were an effective communication method between park managers and users.

• Korean Association of Arts Management
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• no.59
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• pp.73-99
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• 2021

Free admission policies have been gradually extended for the public to use cultural facilities free of charge, which lowered the barriers to use those facilities and has a great effect on increasing visitor demands. However, the annual number of visitors which is open to the public isn't quite accurate and varies from institution to institution, which means just a head count. Especially people counter overestimates the number of visitors because it counts visitors in duplicate. Therefore, the purpose of this study is to prepare effective way of grasping the number of visitors using cultural infrastructure. First, comparable number of visitors should be measured by defining the notion of visitor clearly, which has been measured vaguely. Secondly, the problem of duplicate count, which is considered the most problematic, should be solved. Thirdly, the various analysis of visitor behavior should be conducted to provide a high-quality service. To work out the problems above, new measurement will be presented here. This study suggests a state-of-the-art wireless signal-based measurement that could eliminate the duplicate data by collecting MAC address -smart device's distinct signal value. And it also could analyze diverse visitor behaviors by understanding a flow of visitor traffic, duration of stay and revisitation. I would like to examine the possibility and effectiveness of this new measurement by testing it.

• Korean Journal of Environment and Ecology
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• v.26 no.6
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• pp.960-969
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• 2012

This study aims to understand the time-based moving pattern and suggest management strategies through surveying the number of visitors from 7 a.m. to 7 p.m. for 3 days of each season in 3 key sites (Jeungsimsa district, Wonhyosa district and Jungmeorijae) of Mudeungsan Provincial Park. Majority of visitors who entered through Jeungsimsa district and Wonhyosa district visited the Mudeungsan provincial park from 9 a.m. to 2 p.m., and the number of enterers reached the peak from 10 to 11 in the morning. Majority of the visitors left the Mudeungsan provincial park from noon to 5 p.m.. The number of leavers showed the peak between 2 and 4 in the afternoon. Most of visitors who moved via Jungmeorijae from 11 a.m. to 3 p.m. climbed toward Jangbuljae or Jungbong or came down to Jeungsimsa district or Wonhyosa district. The number of enterers hit the highest from 11 a.m. to 1 p.m.. However, there was no stark difference in the time-based moving pattern of each season and days of week. The special intensive management such as providing visitor service, conducting a campaign and restoring the damaged land in concentrated site and time is needed for conserving natural resources and improving visitors satisfaction.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2006.11a
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• pp.49-53
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• 2006

This study started from the premise that the satisfaction of visitors in large-scaled design-related fair has co-relation with the environmental and contextual factors such as contents, lighting, the number and location of rest area, crowdedness, ventilation and circulation. The research was made in Seoul Living Design Fair 2006. 109 samples from 138 who answered to the questionnaire with likert-scaled and open questions were selected for the data, which were statistically analyzed through SPSS 12.0 program to explore the co-relation between the environmental factors and the satisfaction level of visitors. The findings showed that overall satisfaction level was In the middle of the scale, which means satisfied nor unsatisfied. Even though the visitors had difficulties In circulation and showed various types in circulation. It can be concluded that the main factors should be considered to achieve higher satisfaction level and provide better environment in the large-scaled fair.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.59-66
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• 2020

In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.1
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• pp.92-98
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• 2023

This paper used the golf course visitors' data in Jeju region to forecast the growth of inbound air traveler to Jeju. This is because the golf course visitors were proven to bring the highest economic and production inducement effect to the Jeju region. Based on such a data, this paper forecast the short-term growth rate of inbound air traveler using ARIMA to the Jeju until December 2025. According to ARIMA (0,1,0) (0,1,1) model, it was analyzed that the monthly number of golf course visitors to Jeju has been increasing steadily even since COVID-19 pandemic and the number is expected to grow until the end of 2025. Applying the same parameters of ARIMA (0,1,0) (0,1,1) to inbound air travel data, it was found the growth rate of inbound air travelers would be higher than the growth rate of 2019 shortly without moderate variation even though the monthly number of inbound travelers to Jeju had been dropped during COVID-19 pandemic.

• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.79-90
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• 2015

In empirical studies on rural development projects, differentiation tends to be considered a strategy aimed at increasing the number of visitors. Rural development projects include the improvement of living environment, and the discussion about project goals and evaluation of project results are often focused on the aspect of rural tourism. Thus, subjective benefits of such projects for residents are omitted. This study examines the meaning of differentiation from the perspective of residents and explores the validity of the number of visitors and the possibility of reflecting residents' subjective score as evaluation indicators for a project. To achieve such an objective, this study uses survey data collected from 153 people in 38 comprehensive development projects in areas of Eup and Myeon, Korea. The results of this study show that differentiation is viewed as a by-product of positive improvement from a rural development project, from the perspective of residents. The effects of rural development are classified into two dimensions: socioeconomic effects and living environmental effects. Landscape improvement is included in the dimension of living environmental effects and an increase in the number of visitors is included in the dimension of socioeconomic effects. As such, they are confirmed to be the factors that determine the level of differentiation. For example, the increase in the number of visitors is confirmed to be a valid indicator of project success, in which two-dimensional characters are reflected. The level of differentiation evaluated by residents is a result of the workings of the above two factors. Unlike in previous studies, the possibility of evaluation based on the perception of residents is confirmed in the evaluation of results. When the level of differentiation is interpreted as the direct result of a project, the number of visitors has an impact on socioeconomic effects, and the project content of landscape improvement has an impact on living environmental effects. The goal of policy and residents is the same in terms of the effort residents may make in maximizing results of a project by themselves; thus, the government's goal is achieved even when a project is carried out under the autonomy of residents. Ultimately, the government should focus on providing conditions in which active citizen participation can not only occur but help to establish a policy direction, which subsequently strengthens the substantial rights of residents.

• The Journal of Korea Robotics Society
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• v.18 no.4
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• pp.463-471
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• 2023

This paper proposes a method to estimate the level of interest shown by visitors towards a specific target, a guide robot, in spaces where a large number of visitors, such as exhibition halls and museums, can show interest in a specific subject. To accomplish this, we apply deep learning-based behavior recognition and object tracking techniques for multiple visitors, and based on this, we derive the behavior analysis and interest level of visitors. To implement this research, a personalized dataset tailored to the characteristics of exhibition hall and museum environments was created, and a deep learning model was constructed based on this. Four scenarios that visitors can exhibit were classified, and through this, prediction and experimental values were obtained, thus completing the validation for the interest estimation method proposed in this paper.