• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.123-139
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• 2019

The Korean NPL market was formed by the government and foreign capital shortly after the 1997 IMF crisis. However, this market is short-lived, as the bad debt has started to increase after the global financial crisis in 2009 due to the real economic recession. NPL has become a major investment in the market in recent years when the domestic capital market's investment capital began to enter the NPL market in earnest. Although the domestic NPL market has received considerable attention due to the overheating of the NPL market in recent years, research on the NPL market has been abrupt since the history of capital market investment in the domestic NPL market is short. In addition, decision-making through more scientific and systematic analysis is required due to the decline in profitability and the price fluctuation due to the fluctuation of the real estate business. In this study, we propose a prediction model that can determine the achievement of the benchmark yield by using the NPL market related data in accordance with the market demand. In order to build the model, we used Korean NPL data from December 2013 to December 2017 for about 4 years. The total number of things data was 2291. As independent variables, only the variables related to the dependent variable were selected for the 11 variables that indicate the characteristics of the real estate. In order to select the variables, one to one t-test and logistic regression stepwise and decision tree were performed. Seven independent variables (purchase year, SPC (Special Purpose Company), municipality, appraisal value, purchase cost, OPB (Outstanding Principle Balance), HP (Holding Period)). The dependent variable is a bivariate variable that indicates whether the benchmark rate is reached. This is because the accuracy of the model predicting the binomial variables is higher than the model predicting the continuous variables, and the accuracy of these models is directly related to the effectiveness of the model. In addition, in the case of a special purpose company, whether or not to purchase the property is the main concern. Therefore, whether or not to achieve a certain level of return is enough to make a decision. For the dependent variable, we constructed and compared the predictive model by calculating the dependent variable by adjusting the numerical value to ascertain whether 12%, which is the standard rate of return used in the industry, is a meaningful reference value. As a result, it was found that the hit ratio average of the predictive model constructed using the dependent variable calculated by the 12% standard rate of return was the best at 64.60%. In order to propose an optimal prediction model based on the determined dependent variables and 7 independent variables, we construct a prediction model by applying the five methodologies of discriminant analysis, logistic regression analysis, decision tree, artificial neural network, and genetic algorithm linear model we tried to compare them. To do this, 10 sets of training data and testing data were extracted using 10 fold validation method. After building the model using this data, the hit ratio of each set was averaged and the performance was compared. As a result, the hit ratio average of prediction models constructed by using discriminant analysis, logistic regression model, decision tree, artificial neural network, and genetic algorithm linear model were 64.40%, 65.12%, 63.54%, 67.40%, and 60.51%, respectively. It was confirmed that the model using the artificial neural network is the best. Through this study, it is proved that it is effective to utilize 7 independent variables and artificial neural network prediction model in the future NPL market. The proposed model predicts that the 12% return of new things will be achieved beforehand, which will help the special purpose companies make investment decisions. Furthermore, we anticipate that the NPL market will be liquidated as the transaction proceeds at an appropriate price.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.26-41
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• 2012

This study investigates the time-space characteristics of intra-urban passenger flows in the Metropolitan Seoul area. In particular, we analyze the relationships between transit ridership and land use through the use of the subway passenger flow data obtained from the transit transaction databases. For this purpose, the strength of each subway station, i.e., the number of total in-coming and out-going passengers at each station, in the morning, afternoon, and evening, is calculated and visualized, which reflects urban land use patterns. Then the subway stations are classified into four groups via a hierarchical analysis of the in-coming and out-going passenger flows at 353 stations. Each group appears to have characteristic properties according to the region, e.g., residential areas and central business districts. This has been confirmed by the analysis which probes explicitly the relationship between the local socio-economic variables and station groups. This analysis, disclosing the inter-relationship between the subway network and urban land use, may be useful at various stages in urban as well as transportation planning, and provides analytical tools for a wide spectrum of applications ranging from impact evaluation to decision-making and planning support.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.23-34
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• 2012

As the quality of life grows, the role of cultural facilities in urban areas is becoming more important. However, due to various reasons, the location of these facilities shows the geographical imbalance between urban regions. Even though provision of road network can improve this kind of urban problem, in many countries, the provision of urban infrastructure plays a role which is magnifies the cultural gap between regions and socio-economic classes. The findings of this study are as follows. First of all, the inequality of accessibility to cultural facilities is shown over the period. Cross-sectional data shows that the higher the income of a region, the higher the accessibility index(AI) of the zone to cultural facilities at any time. Next, the provision of road network contributes the improvement of AI of high income region. Finally the provision of new facilities has a tendency that these kind of facilities are located to make AI of high income zone better. It means that the decision making by city government intensifies the geographical inequality. This result would be very useful in the decision making process for determining the number and the location of cultural facilities and other similar urban infrastructure as well. Also it will be helpful for the selection of optimal location which considered not only physical distances but also social equalities.

• Journal of Environmental Impact Assessment
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• v.25 no.2
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• pp.141-154
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• 2016

This study was conducted laying the focus on finding the mutual action between the substantial ecological value and economic system in the national land, and calculating the environmental carrying capacity and sustainability of the national land using the emergy synthesis. Particularly, this study pays attention watchfully to the reality that the analytic framework to analyze sustainability is not arranged well, as the concept of sustainable development considering environmental carrying capacity, which becomes a widely discussed topic today, is defined differently according to the subjective views of respective researchers, and the situation which needs in-depth evaluation on the interaction between nature and economy which becomes the fundamental of sustainable development. This study also aims at groping for correct direction for the national land development by calculating the environmental carrying capacity and index value which is appropriate to the national land and providing the framework for preparing the policy to induce the sustainable use and management of the national land. The concept of emergy synthesis which is used for the evaluation of environmental carrying capacity and sustainability in the national land, as in this case, can notify the information on current situation of the national land as well as explain how the national land transforms according to time pass (the role of information synthesis), and gives knowledge if the national land policies advances toward the direction of sustainable development (the role of policy evaluation and observation). Emergy synthesis also can take role for selecting best policy on the process of decision making on the exploitation of the national land (the role on the process of decision making).

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.4
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• pp.99-108
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• 2003

In early year 2003, the previous Urban Planning Law and National Land Use Management Law were abolished and integrated into the Law regarding National Land Planning and Land Use Management. Accordingly, previous Urban Planning Information System is reformed into National Land Use Information System. This paper intends to develop indexes supporting decision-making process and to construct theme map using digital map that can be utilized for the National Land Use Information System. As a base for the index development, necessary database(DB) was established by utilizing the socio-economic information of towns and villages in Busan and a layer of public facilities. Based on the DB, multivariate analyses were performed to examine and analyze the spatial structure of Busan. It was then expressed and constructed as a theme map. The facility theme map was also constructed based on a layer of public facilities and the shortest distance between towns and villages.

• Korean Journal of Construction Engineering and Management
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• v.10 no.4
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• pp.139-150
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• 2009

Objective of Urban regeneration is a recovery of urban utilities through a physical, environmental, cultural, industrial and economic regeneration. The current paradigm of urban regeneration is not a simple redevelopment as physical redevelopment or improvement. This study is proposed that value system management applied the benefit management, value system, Quality Function deployment for a value conflict of urban regeneration. There is a reason to conflict value that value system is unstructured. Because this study is proposed to establish the process of value system, and applied this process to Se-woon 4th area urban regeneration project. This study is analyzed to divide value system of urban regeneration program into city level, district level, zone level in district. An analysis of value system obtained through '2020 urban master plan', 'the downtown recreate a comprehensive plan', 'Se-woon New town plan'. It is proposed that value system management method through Between values correlation analysis and the order of priority deduction. These are obtained to use Delphi technique and Analytic Hierarchy Process(AHP)

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.525-528
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• 2003

In recent, Information Technology(IT) is the biggest issue on the world at large including construction industry as core strategic means for reinforcing competitive power of company and nation and raising its effectiveness. However, CEO of each finn is deferring IT investment decision because there's no case to measure real value of IT and confidence to economic effect of information system. IT Evaluation will be so helpful that most construction finns make a plan of IT investment. and it is necessary to achieve their management goal and have the maximum of firm's value with the usage of IT system. Therefore, The purpose of this research is to promote the increase of IT investment and the improvement of the standard in IT with the development of IT evaluation system to be monitoring IT level continually.

• Korean Journal of Construction Engineering and Management
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• v.5 no.1 s.17
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• pp.88-98
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• 2004

In recent, Information Technology(IT) is the biggest issue on the social whole including the construction industry. IT is recognized as a key strategic means to reinforce competitive power and raise the effectiveness. However, CEOs of each firm have trouble with IT investment decision-making. Because there is neither any case to measure real value of IT nor any confidence to economic effect of information system. IT evaluation is so helpful for most construction firms to make a plan of IT investment. In addition, which will eventually facilitate to achieve their management goal and have the maximum of the firms' value. Therefore, the purpose of this research is to develop IT evaluation system for monitoring IT level continually. And this will be enable a construction company to increase IT investment and improve the level of IT in the construction industry.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.235-244
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• 2013

In this study, we propose a new trading strategy by using a trading volume index in KOSPI200 futures market. Many studies have been conducted with respect to the relationship between volume and price, but none of them is clearly concluded. This study analyzes the economic usefulness of investment strategy, using volume index. This analysis shows that the trading volume is a preceding index. This paper contains two objectives. The first objective is to make an index using Correlated Volume Index (CVI) and second objective is to find an appropriate timing to buy or sell the Kospi200 future index. The results of this study proved the importance of the proposed model in KOSPI200 futures market, and it will help many investors to make the right investment decision.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.64-71
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• 2016

Recently, nanotechnology has grown as one of the leading science technology along with other converging technologies such as biology, information, medicine etc., bringing the continuous investment of the government in nano-related field. However, it is difficult to measure and evaluate the performance of the national research and development programs because of the multidimensional character of the expected outcomes. This study aims to measuring efficiency of the national nanotechnology research and development programs using DEA model. The decision making units are nine nano-related ministries including the Ministry of Science, ICT and Future Planning. The input variables are total expenditure, number of the programs and average expenditure per program. The output variables are science, technology and economic indicator, and the combination of these outputs are respectively measured as seven different DEA cases. The Ministry of Science, ICT and Future was the first efficient ministry in total technical efficiency. Ministry of Agriculture, Food and Rural Affairs and the Ministry of Food and Drug Safety were efficient in pure technical efficiency, when the Ministry of Commerce Industry and Energy took the first in the scale efficiency. The program efficiency was affected by organizational characteristics such as the institution's scale, the concentration of the research paper or the patent, technology transfer or the commercialization. The result of this study could be utilized in development of the policy in the nanotechnology and the related field. Furthermore, it could be applied for the modification of expenditure management or the adjustment of the research and development programs' input and output scale for each ministry.