• The Journal of Information Systems
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• v.26 no.3
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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.

• Journal of Navigation and Port Research
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• v.32 no.3
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• pp.257-264
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• 2008

This study is intended to know what is the legal problems to settlement and public announcement of property right for construction of marine architectural building in Korea. Firstly, the situation and the prospect around marine architectural building are examined Secondly, the legal concepts of marine architectural building and the application of related laws are analyzed. Thirdly, the problems related to public announcement of property right of marine architectural building are suggested. Fourthly, some improvement schemes to solve the legal problems in relation with property right of buildings on the water at sea and ocean are proposed. As the conclusion, the marine architectural building can be divided into fixed-type and floating-type in order to find the proper way to handle the public announcement of property right for that sort of building. The fixed-typecan be registered as real estate according to the Building Law through the amendment of the existing related laws. But for the registration of floating-type building a new law should be made. In the near future, improvements on the legal system related with the settlement of property right of marine architectural building should be made, so that private sectors can join construction and operation of the building. Especially a new law for the floating-type marine architectural building should be made as soon as possible.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.143-153
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• 2015

The purpose of this study is to analyze the relation between the housing value and residential satisfaction, housing' investment value, and also the effect the purchase intention. Recently it has been argued that the consumers' investment value can have influence on the housing market, however it is extremely rare to find research market. Through this study, influencing relationship on how the factors of housing value can affect the residential satisfaction and investment value is figured out. Last, in order to analysis the influencing relationship of purchase intention, the questionnaire for residents were conducted. The analysis is done based on 585 significant research materials gathered from the questionnaires. For analysis methodology, this research is using SPSS 21.0, AMOS 18.0, along with analytic techniques, such as implementation of basic statistical analysis, reliability, and structural analysis. Following is the results summary of the research: First, results of a factor analysis extracted four factors of housing value: residential quality factor, economic factor, brand factor, accessibility factor. Second, we find from the residential quality, brand of the housing value were statistically effect of the residential satisfaction and investment value. Finally, residential satisfaction and investment value had a positive influence on purchase intention. The result indicates the housing buyers' positive investment value and residential satisfaction increase the purchase intention in housing market. The better the housing buyers' investment value on the real estate market, the higher the market activity.

• Land and Housing Review
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• v.5 no.3
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• pp.151-167
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• 2014

Urban space structure in South Korea when through drastic changes ever since public housing policies began their full-fledge implementation. That is, public housing policies represent the main cause for formation of the current urban space structure, as the public houses are constructed in accordance with changes of demographic/social structure, considering changes of housing demand, in urban spaces demanded by the end users. After rapid industrialization and urbanization in the 1960's, each government in different periods have implemented housing supply policies through massive urban developments, to resolve the issue of housing shortage and residential instability. Phase 1 New Towns were developed in the 1980's resulting in suburbanization of the Seoul Area, followed by urban sprawl due to construction of small-size New Towns after deregulation in the 1990's, and construction of Phase 2 New Towns for resolution of housing shortage in the early 2000's and the resulting urban problems. In the mid-2000's, construction of Bogeumjari houses in GB areas led to insufficient housing supply in downtown areas, and the period after 2010 witnessed continuous deterioration of existing urban areas and acceleration of the rental housing crisis caused by rental housing shortage in downtown areas. Moreover, the residentially vulnerable classes consisting of young, 1~2-member households is expanding, with the real estate market in recess. Therefore, the government is trying to achieve urban regeneration through public housing policies so as to resolve the urban space problem and the housing problem at the same time, and the Happiness Housing Project has been implemented as a policy to achieve that goal. The Happiness Housing Project for young, residentially vulnerable classes in downtown areas, is going through diversification aimed at conjunction with urban regeneration projects in downtown areas, as exemplified by conversion of rental houses in residential environment improvement project districts and redevelopment/reconstruction project districts into happiness housing, and supply of happiness housing in conjunction with small reorganization projects for deteriorated residential areas in such areas as those excluded from New Town designation. Continuous supply of Happiness Housing in conjunction with urban regeneration requires mixed-use residential development which includes convenience facilities and public facilities, along with improvement of rental conditions (rental period/rent) and diversification of project methods, considering that the project is implemented in downtown areas.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.73-90
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• 2014

The Officially Announced Land Price System has a limit, that is required to be able to reflect changes in land constantly every year, to implement Land Characteristic Survey for calculating land price during a specific period and human resources with limited. The purpose of this study is to apply the 'National Territory Space Usage status Survey' method to survey part of the territorial feature status information inside of selected the target sites, considering the core survey items (land category, the state of land use, altitude difference, standard site inclusion, etc) in the areas surrounding Yeonshinnae Station in which three dongs (Galhyeon-dong, Daejo-dong, Bulgwang-dong) of Eunpyeong-gu, Seoul share borders with. Based on the given budget, the manpower and period was taken into consideration to sort a total of 2,041 lots and conduct surveys on all sites. This study will be able to diagnose the efficient idle human resource utilization and work process construction plan through pilot projects specialized for providing real estate information services in preparation for cases in which national territory information survey projects that provide various business model, as well as major future core projects of the corporation will be carried out.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.248-258
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• 2020

In this study, an empirical analysis was performed with regards to traditional markets in Seoul, South Korea to find which physical maintenance elements, such as facility improvement for successful urban restoration, have greater effects on the expectation and activation awareness of successful urban restoration. This study targeted traditional markets located at the center of Seoul, which are visited by many domestic and international tourists as well as general consumers and are revitalizing the downtown area. A survey was conducted to collect a total of 515 completed questionnaires. Data analysis was performed using SPSS 23.0 and AMOS 22.0. The results of the analyses in this study indicate relevant urban invigoration factors (psychological, physical, diversity, functional, and stability factors), and it was observed that the expectation of urban regeneration was under the direct influence of the invigoration factors. Such a finding is meaningful in that it suggests a set of criteria to evaluate the concept of traditional markets in a comprehensive manner for successful urban regeneration while highlighting relevant invigoration factors for traditional marketplaces for the purpose of urban regeneration.

• Journal of Distribution Science
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• v.11 no.10
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• pp.107-116
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• 2013

Purpose - Eggs are nutritionally complete and one of the most popular natural foods. Moreover, the poultry industry is one of the important food industries. However, early industrialization of the poultry industry on its own did not lead to further development compared to other livestock industries. In this study, we investigate what factors influence consumers' behavior and how consumers' understanding of retail business affects their propensity to consume. This study is different from other studies as it analyzes how the brand names of manufacturers and distribution companies affect the purchasing characteristics or actual purchase behavior of consumers in order to suggest how these manufacturers and distribution companies can increase their competitiveness. Research design, data, methodology - This study conducted a survey of 250 randomly selected egg purchasers in discount stores from January to April 2013. Consumers' purchase tendencies were calculated through frequency analysis. This result was then utilized using cluster analysis to draw a conclusion about which purchase tendency influenced consumers buying three different brands of eggs or whether this tendency really affected consumers. As a result, the outcomes of Hypotheses 2 and 3 were not clear so we drew a conclusion with our analysis of Hypothesis 1. Results - While the outcomes of Hypotheses 2 and 3 did not clearly indicate whether purchasing tendencies affected consumers when buying eggs, our analysis of Hypothesis 1 indicated that consumers were affected by the quality of the eggs rather than exterior factors such as the brand name. Thus, we concluded that it is important to promote the excellence of the quality of the eggs. Usually firms buy eggs from farms and repackage them in order to sell them. In this sense, if consumers were aware of this egg production process, and eggs were fairly distributed to retailers, large retail PB businesses would also be able to enhance their competitiveness. Conclusions - The brand, packaging, retail outlet, and other external features influenced the purchase of eggs to a certain degree, while shelf life, grade of the eggs, cleanliness, and other intrinsic characteristics had more influence. In particular, shelf life was the most important factor influencing purchase. Consumers were influenced not only by intrinsic characteristics of the eggs but also by large-scale producers' brands. Consumers relied upon the brand despite reduced competition because they found it difficult to identify shelf life and/or cleanliness. Small businesses and/or large-scale retailers can remain competitive by maintaining the freshness and cleanliness of the eggs. Further studies need to investigate areas in which consumers' cognition of the product is poor and/or the purchase inclination with regard to less developed industries such as eggs. In this study, the greatest problem was that consumers did not consume in accordance with the current situation as consumers have preferred fresh and clean eggs for a long time compared to purchase decisions based on external brands and/or packaging.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.197-204
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• 2020

The purpose of this paper is to find the direction by analyzing the synchronization phenomenon and the change rate of apartment charter rate in Korea, Seoul, Busan, Daegu, Gwangju and Daejeon. For this purpose, this study used a total of 239 monthly data from January 2000 to November 2019 in Kookmin Bank housing statistics. In the correlation analysis, Korea showed the highest relationship in order of Seoul, Busan, Incheon and Daegu. Seoul showed a low figure of 0.3 without any distinctive features from other cities. On the other hand, Busan, Daejeon and Daegu showed high correlations. As a result of the regression analysis, Korea and 5 major cities were all moving in the same direction with positive(+) values. And Busan and Seoul responded significantly to Korea. In the shock response, Korea is most shocked by the change in Seoul. Daegu is relatively shocked by Busan and Daejeon. Seoul's charter rate has declined most strongly in the last three years. Therefore, it is time to be careful not to incur losses due to gap investment. If we look at the relationship between the charter rate and the sale price in future studies, we can better understand the Korean apartment market.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.3
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• pp.25-39
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• 2013

In this study, the change of the discharge according to the land cover change which acts as one of dominant factors for the outlook of future discharge was analyzed using SWAT(Soil and Water Assessment Tool) model for Yongdam and Daecheong Dam Watershed in the Geum River Basin. The land cover maps generated by Landsat TM satellite images in the past 1990 and 1995 were used as observed data to simulate the land cover in 2000 by CA-Markov serial technique and after they were compared and verified, the changes of land cover in 2050 and 2100 in the future were simulated. The discharge before and after the change of land cover by using input data of SWAT model was compared and analyzed under the A1B scenario. As a result of analyzing the trend in the elapses of year on the land cover in the Geum River Basin, the forest and rice paddy class area steadily decreased while the urban, bare ground and grassland classes increased. As a result of analyzing the change of discharge considering the future change of the land cover, it appeared that the discharge considering the change of land cover increases by 1.83~2.87% on the whole compared to the discharge not considering the change of land cover.

• Korean System Dynamics Review
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• v.2 no.2
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• pp.25-40
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• 2001

This paper describes the forecast of power plant construction in a competitive korean electricity market. In Korea, KEPCO (Korea Electric Power Corporation, fully controlled by government) was responsible for from the production of the electricity to the sale of electricity to customer. However, the generation part is separated from KEPCO and six generation companies were established for whole sale competition from April 1st, 2001. The generation companies consist of five fossil power companies and one nuclear power company in Korea at present time. Fossil power companies are scheduled to be sold to private companies including foreign investors. Nuclear power company is owned and controlled by government. The competition in generation market will start from 2003. ISO (Independence System Operator will purchase the electricity from the power exchange market. The market price is determined by the SMP(System Marginal Price) which is decided by the balance between demand and supply of electricity in power exchange market. Under this uncertain circumstance, the energy policy planners such as government are interested to the construction of the power plant in the future. These interests are accelerated due to the recent shortage of electricity supply in California. In the competitive market, investors are no longer interested in the investment for the capital intensive, long lead time generating technologies such as nuclear and coal plants. Large unclear and coal plants were no longer the top choices. Instead, investors in the competitive market are interested in smaller, more efficient, cheaper, cleaner technologies such as CCGT(Combined Cycle Gas Turbine). Electricity is treated as commodity in the competitive market. The investors behavior in the commodity market shows that the new investment decision is made when the market price exceeds the sum of capital cost and variable cost of the new facility and the existing facility utilization depends on the marginal cost of the facility. This investors behavior can be applied to the new investments for the power plant. Under these postulations, there is the potential for power plant construction to appear in waves causing alternating periods of over and under supply of electricity like commodity production or real estate production. A computer model was developed to sturdy the possibility that construction will appear in waves of boom and bust in Korean electricity market. This model was constructed using System Dynamics method pioneered by Forrester(MIT, 1961) and explained in recent text by Sternman (Business Dynamics, MIT, 2000) and the recent work by Andrew Ford(Energy Policy, 1999). This model was designed based on the Energy Policy results(Ford, 1999) with parameters for loads and resources in Korea. This Korea Market Model was developed and tested in a small scale project to demonstrate the usefulness of the System Dynamics approach. Korea electricity market is isolated and not allowed to import electricity from outsides. In this model, the base load such as unclear and large coal power plant are assumed to be user specified investment and only CCGT is selected for new investment by investors in the market. This model may be used to learn if government investment in new unclear plants could compensate for the unstable actions of private developers. This model can be used to test the policy focused on the role of unclear investments over time. This model also can be used to test whether the future power plant construction can meet the government targets for the mix of generating resources and to test whether to maintain stable price in the spot market.