• Korea Real Estate Review
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• v.28 no.3
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• pp.65-77
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• 2018

The purpose of this study is to analyze the effect of the educational environment on the prices of studio apartments, known as officetels, in Korea. Since the revision of relevant laws in 2010, they have served as substitutes for residential purposes in areas suffering from housing shortage, especially where the educational environment is a significant factor. To assess the relation between the educational environment and rental rates, the hedonic price model and artificial neural networks were implemented. The national assessment of the academic performance of middle and high schools that were closest to each officetel, and the ratio of students going to special-purpose schools and private high schools were considered as independent variables. Research findings indicated that the positive effect of the dependent variable increased as the value of educational environment-related variables increased. This result could be utilized as a functional index for housing providers after considering educational environments.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.317-317
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• 2020

수재해는 수자원 인프라의 부족 및 관리 미흡 등 많은 요인들이 있지만 강우의 유무와 크기가 가장 원초적인 요인들 중 하나이다. 정확한 강우량 추정 및 강우발생시간 예측은 수재해로 인한 피해를 예방하고 빠르게 대처할 수 있다. 그러나 강우예측에는 많은 불확실성을 내포하고 있기 때문에 이러한 불확실성을 이해하고 줄여 나가는 것이 필요하다. 최근 컴퓨터의 성능의 발전에 비례해 강우 예측 자료들도 점진적으로 발전을 거듭하고 있다. 이를 강우-유출 모형에 적용시 유출량 예측의 정확성 또한 비례하여 한층 더 발전할 수 있을 것이다. 하지만 신뢰성이 낮은 입력자료를 대상으로 하는 유출해석 모형은 많은 불확실성을 내포할 것이다. 따라서 본 연구에서는 위천 유역에 대해 LENS(Limited area ENsemble prediction System) 강우앙상블 예측자료의 적용성을 검토하고 그리드 기반 강우 유출 모델 GRM(Grid based Rainfall-runoff Model) 에 적용하여 유출예측의 불확실성을 평가하고자 하였다. 또한 강우예측 및 유출예측은 수 많은 매개변수를 포함하며 최종적인 예측은 더 큰 불확실한 범위로 산출될 수 있다. 이에 따라 본 연구에서는 Python3 기반 코딩으로 LENS 자료 구축 및 GRM 모형의 매개변수 보정을 각 2000회 씩에 걸쳐 총 2회 실시하여 수문학적, 지형학적 인자에 따른 불확실성 범위를 보정하고자 하였다. 매개변수의 보정은 비정형우도(Informal likelihood) NSE, 정형우도(Formal likelihood) Lognormal(Log-likelihood function)의 우도에 따른 행위모델을 산정하여 보정하였다. 따라서 본 연구에서는 선행연구들을 참고한 정형, 비정형 우도의 임계치를 이용한 불확실성해석에 적용하였으며 이는 사용자의 행위모델선정 임계치 범위 선정으로 인한 불확실성을 줄여나감에 기여할 수 있을것으로 사료된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.573-580
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• 2006

The Saturation headway is a major parameter in estimating the intersection capacity and setting the signal timing. But Existing algorithms are still far from being robust in dealing with factors related to the variation of saturation headways at signalized intersections. So this study apply the fuzzy inference system using ANFIS. The ANFIS provides a method for the fuzzy modeling procedure to learn information about a data set, in order to compute the membership function parameters that best allow the associated fuzzy inference system to track the given input/output data. The climate conditions and the degree of brightness were chosen as the input variables when the rate of heavy vehicles is 10-25 %. These factors have the uncertain nature in quantification, which is the reason why these are chosen as the fuzzy variables. A neuro-fuzzy inference model to estimate saturation headways at signalized intersections was constructed in this study. Evaluating the model using the statistics of $R^2$, MAE and MSE, it was shown that the explainability of the model was very high, the values of the statistics being 0.993, 0.0289, 0.0173 respectively.

• Economic Analysis
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• v.25 no.3
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• pp.100-137
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• 2019

In this study, I analyzed the effects of government spending on macro variables and on each industry by using a factor augmented vector autoregressive model (FAVAR) and 167 macro-variables in Korea since 2000. The results reveal that the effects of two types of government spending - government consumption and government investment - greatly differ, therefore it is better to consider the two types of spending separately for a more precise analysis. The stimulus effects of government consumption are clear, but those of government investment are not. In addition, the crowding-out effects of government spending take place through the current account deficit channel rather than the traditional crowding-out channel, reducing private consumption and investment. Both types of government spending show a positive effect on the construction industry. Also, an increase in government consumption stimulates output in various manufacturing and service sectors.

• Journal of Cadastre & Land InformatiX
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• v.45 no.2
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• pp.217-235
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• 2015

The study has analyzed the determinants of retail rents for the franchised coffee shop with the Multi-Regression analysis in Seoul. Central place, agglomeration, and demand-externality theories provide the basis for empirical models. The data used in this study consisted of 2,000 retail units in Seoul. As the results, the results show that coffee shop of retail sales per $3.3m^2$ and characteristic of retail trade-areas, and characteristic of coffee shop affects on the coffee shop's rents per $3.3m^2$. Coffee Shop's sales are the major determinant of coffee shop's rents. Also, coffee shop's goodwill per $3.3m^2$ and rental bond per $3.3m^2$ are positively correlated with a coffee shop's rents. Additionally, number of wholesale company and manufacturers in the retail trade-areas influences coffee shop's rent per $3.3m^2$. In summary, the study shows that coffee shop's brand identity, location and retail mix in the retail trade areas affects a coffee shop's rent per $3.3m^2$.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.3
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• pp.101-115
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• 2009

The prompt recovery of housing market in Korea became the national task, for which tools that can analyze the influence that changing situation of housing market and new policy may have on the housing market needs to be developed. Thus, this research intends to develop Multi-Agent Housing Market Model and simulation system in Jinju City as a study area. Analyzing the local housing market of Jinju City, then multi-agent model of housing market that consolidates 3 sub-models, house choice model, hedonic model of house price and location choice model is developed. Moreover in order to develop simulation system the model is programmed in the virtual space of which the size is $150{\times}100$ cell including physical shape of city such as road, urban facilities, land use, etc. With the system, simulations are performed to confirm the impact of urban development on the pattern of residential location. As a result, it is found that the residential location can not be easily induced when only road, commercial and convenient facilities are supplied. However, it is also found that since supplying green results in very many residences, arrangement of infrastructure and environmental factor should be considered at the same time for urban development. As conclusion, it is confirmed that the model and simulation system developed in this research smoothly works to be utilized for the analysis of diverse policy experiment and housing market.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.391-400
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• 2020

This research examined organizational climate, multicultural practice competence, and job embeddedness of multicultural family service center and studied on the structural relationship among these variables. The study samples are 175 multicultural practitioners at 7 multicultural family service centers located at Seoul and Gyunggi-Do. The study data was analyzed with descriptive analysis, conformatiory factor analysis and structural analysis by SPSS Statistics 20.0 and Amos 21.0. The study results are as follows. First, organizational climate, multicultural practice competence, and job embededness of multicultural family service centers appeared to be posive by the mean value of 3.5 out of 5. Specifically, work reward and incentives(M=3.33) are relatively low, multicultural practice skills(3.27) are lowest among multicultural practice competence sub-factors and fitness is the highest(Mean=3.79) among job embededness sub-factors. Second, multicultural practice competence have a positive effect on job embededness(Ɓ=0.426, C.R.=5.293, p<.001), and has a mediating effect between organizational climate and job embededness. Third, organizational climate has a positive effect on multicultural practice competence(Ɓ=.206, C.R.=2.499, p<.05) and has a positive effect on job embedednes(Ɓ=0.488, C.R.=6.131, p<.001). Based on the study results, it was suggested to improve job embededness of multicultural practitioners by changing organizational climate and improving multicultural practice competence.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.223-233
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• 2014

This study empirically analyzes the relationships among the road and traffic experts' personal characteristics, the driving behavior and factors being expected to have an effect on the satisfaction about roundabout operation. The factors are drawn and grouped through the principle component analysis to clarify driving environment satisfaction on roundabout operation. Each group is named as personal attribute, driving behavior attribute, and satisfaction. After the variables are refined by confirmatory factor analysis, satisfaction model is developed with personal attribute and driving behavior attributes as exogenous variables and roundabout driving awareness and emotion attributes as endogenous variables. As a result, driving satisfaction of roundabout operation is directly influenced by delay reduction, safety improvement, capacity increase, sight improvement, severity accident reduction, and bicycle convenience and indirectly gender, age, driving time, and driving experience. Law obeyance, driving concession, traffic sign obeyance, and interposition do not statistically shows significant on satisfaction. As a result of Analytical Hierarchy Process (AHP), the turning radius of geometry and the driving behavior are important elements for roundabout safety.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.341-373
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• 2001

Firms are confronting the age of an infinite competition. In order to respond to the rapidly changing business environment and make a success and survival in the international and domestic securities market, firms must take a consideration on the stockholders value-oriented philosophy which has greatly contributed not only to the maximization of corporate profits but also to the stability of financial markets. To pursue stockholders value-oriented philosophy, a firm should build strong relationship with investors by providing exact information of firm's state, financial statement, management policy. Stockholders value-oriented philosophy contributes to long-term growth and development of the firm as well as efficient equity financing and friendship with stockholder. IR is the key factor to attain successful implementation of company's objective. It should be equipped with the most suitable organization and qualified man-power for IR activities. The purpose of this study was to examine the relationship between IR and relationship marketing management. Strategic implications of this study are as follows: First, This study provides a new explanations of IR activities in Relationship Marketing Management. Second, IR activities were key determinants of Trust and Commitment. That means the more a firm does IR activities, the more Trust and Commitment a firm has for their investors. Third, The variables of trust and commitment are highly related to marketing and financial success. IR have a positive effect on a company total value and its cost of capital relative to that of the overall market.

• Journal of the HCI Society of Korea
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• v.13 no.3
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• pp.5-15
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• 2018

The biggest characteristic of Social Network Game(SNG) is that games are played through competition and cooperation with the actual acquaintances based on SNS. Even though such competition and challenge spirit have been dealt importantly as preceding factors having influence on the flow in games in the existing game area, it is rare to find researches deeply considering the characteristics of ranking competition between acquaintances in SNG. Moreover, it was not considered that such acquaintances could be the targets of competition and also challenge at the same time in SNG. Therefore, this study examined the achievements(big differences in ranking, small differences in ranking) of the targets for comparison and closeness(strong ties, weak ties) with the targets for comparison as factors having influence on competition and challenge spirit, and also empirically analyzed the influence of such factors and interactions between factors on players' competition and challenge spirit in the ranking competitive society, by analyzing the characteristics of ranking competition between acquaintances in the mobile puzzle, SNG based on SNS through the analysis on the preceding research on the self-evaluation maintenance model of the social comparison theory. In the results, when preferentially exposing competitors with small difference in ranking and also exposing competitors with stronger ties, players' competition is stimulated, so that it can improve their challenge spirit. Such results of this study can be expected to a lot contribute to the actual design work of SNG ranking table contents.