• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.304-313
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• 2012

Uncertainty increases as a result of environment change and change of individual decision-making in extreme weather. This study consider individual decision-making which has been not covered until now. The purpose of this study is making Agent-Based Model to predict it more accurate that how much change travel demand in heavy rain and heavy snow. Through this model, it can be utilized to forecast travel demand, changes in travel behavior and traffic patterns. It will be also possible to predict discomfort index and risk of accidents.

• Proceedings of the KGS Conference
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• 2006.06a
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• pp.138-139
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• 2006

• Journal of the Korean Geographical Society
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• v.45 no.6
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• pp.806-819
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• 2010

Population data has been essential and fundamental in spatial analysis and commonly aggregated into political boundaries. A conventional method for population distribution estimation was a regression model with land use data, but the estimation process has limitation because of spatial autocorrelation of the population data. This study aimed to improve the accuracy of population distribution estimation by adopting a Regression-Kriging method, namely RK Model, which combines a regression model with Kriging for the residuals. RK Model was applied to a part of Seoul metropolitan area to estimate population distribution based on the residential zones. Comparative results of regression model and RK model using RMSE, MAE, and G statistics revealed that RK model could substantially improve the accuracy of population distribution. It is expected that RK model could be adopted actively for further population distribution estimation.

• Journal of Korea Water Resources Association
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• v.38 no.4 s.153
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• pp.293-300
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• 2005

This study analyzes hydrometeorologic changes after a dam construction, and develops a model related to estimating the geographical boundary hour far hydrometeorologic changes could happen due to a dam construction. The model is applied to several dams, namely Seomjin Dam, Soyang Dam, Andong Dam, and Chungju Dam. Throughout estimating the correlation between albedo and recycling coefficients, the result confirms that the land use changes by dam construction are the critical factor on the recycling of the water in the air. It is also shown that the geographical boundary is highly related to the surface area of a dam. Finally, this model is expected to be applied to estimate its boundary of hydrometeorologic changes by a new dam construction.

• Journal of the Korean Geographical Society
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• v.43 no.1
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• pp.117-133
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• 2008

Although development density control has received murk attention in urban planning, there has been little research on empirical methods that can examine local changes in development density. Recently, attempts have been made to develop cellular automata (CA) models that can be applied to urban landuse change. This paper aims to develop an extended landuse change model based on urban CA considering development density. The proposed model not only includes density control component in a model framework, but also directly estimates local density changes in land use. The developed model was applied to the study area, which was a part of central Seoul. The calibration of the model was carried out over the period $1900s\sim2000s$ using parcel-based land use data and related variables The results of the calibrated model have been tested by comparison with actual landuse data, and have demonstrated that the developed model can produce realistic simulations of urban landuse changes. But model output is dependent on the spacio-temporal resolution of input data. Further research is necessary to improve the calibration procedure and methods for evaluating model validity.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.2
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• pp.133-154
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• 2024

This paper aims to provide policy implications by exploring the role of universities in the Quadruple Helix model with a focus on the social sector. The quadruple helices model complements the triple helices model, which has limitations in reflecting social change, to present a process of innovation creation through interaction between various social actors based on the democracy of knowledge. Based on this, this paper proposes a 'social entrepreneurial university' model that applies the results of the review of democracy of knowledge and social innovation theory to the entrepreneurial university model. In the quadruple helix model of social democratization and inclusion, it is important for social entrepreneurial universities to enhance the role of education, while dedicating their teaching and research capacities to creating and facilitating platforms that structure and promote the interaction of a wide range of local actors.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.304-306
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• 2003

Oceanic pycnocline depth is usually obtained from in situ measurements. As ocean internal waves occur on and propagate along oceanic pycnocline, it is possible to estimate the depth remotely. This paper presents a method for retrieving pycnocline depth from synthetic aperture radar (SAR) imagery where internal waves are visible. This model is constructed by combining a two-layer ocean model and a nonlinear internal wave model. It is also assumed that the observed groups of internal wave packets on SAR imagery are generated by local semidiurnal tides. Case study in East China Sea shows a good agreement with in situ CTD data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.785-794
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• 2009

We studied on a technic to improve and implement the virtual environment grid information in the war-game model. The virtual environment data are categorized into ground, sea, and air, and separatedly managed and operated. The data are implemented and managed in the geographical information and topography type information. The geographical information, including grid location coordinate and sea level, are managed in computer files as a grid type. We improved the representation of the sea level by mapping the sea level value of the grid information file into GCV and suggested the dynamic virtual environment implementation technic for the region with the large range of tide. In the experiments, we could know that it is possible to adopt the dynamic virtual environment to the war-game model.

• Journal of the Korean Geographical Society
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• v.51 no.1
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• pp.77-88
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• 2016

Dramatic changes have so far been made in the system of central places over the past century. The development of transport has particularly exercised principal influences on the changes of the system of central places. This paper is to examine how and why the development of transport enables such changes to take place in the system of central places, through conducting model research. This paper suggests some models that development of transport be taken as an independent variable and that the division of market area between the central places be as the development of variable. The suggested models show that the development of transport extends the market area of higher central places but reduces the market area of lower central places.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.601-614
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• 2012

This paper is aimed to analyze the determinants and their relative importance that affect regional competitiveness in the era of globalization and climate change. The panel model was set by a balanced panel data for 7 metropolitan areas & 9 provinces and for the period of 2001~2010. Gross regional income per capita is used as the dependent variable and competitiveness-based factors, economic production factors, and climate change adaptation factors are selected as the explanatory variables. In this study, Model 1(typical regional competitiveness model) and Model 2 (added adaptation to climate change adaptation factors) were compared. The important findings can be summarized as follows. The most influential determinants on regional competitiveness are the ratio of knowledge-based industries and human capital and energy inefficiencies decrease the regional competitiveness. Compared to Model 1, Model 2 showed that the effects of the regional openness and the technology innovation capital are relatively more influential in Model 2. The results of this empirical study provide policy implications to strengthen the regional competitiveness in the future of the era of globalization and climate change.