• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.267-273
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• 2009

To predict the urban growth trend and to prevent the metropolitan problems, it is important to track the spatio-temporal changes in the urban spatial structure. Commuting is inevitable and regular activities emerging in the metropolitan region. Therefore, it can be a useful to examine the interregional interaction and the urban spatial change. The purpose of this study is to investigate the urban interaction between Seoul and cities around Seoul Metropolitan Region, and GIS functions helped analysis and visualized results. An analysis of current commuting data using the Gravity Model suggests that the interaction between Seoul and its peripheral cities has been intensified from 1990 to 2000 and that the urban interaction was closely related to the distance. And the southward distribution of the cities having a strong interaction with Seoul accounts for the imbalance in growing of Seoul Metropolitan Region.

• Journal of Leisure Studies
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• v.6 no.3
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• pp.39-56
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• 2009

With the main player of international competition being changed from country to region/city, city competitiveness is emerging as driving forces of industrial and national competitiveness and organizations formed on a city level are regarded as the main unit of competition among nations. This paper's goal is to research upon the city competitiveness with an emphasis on the analytical tool applying IPS Model of city competitiveness to 75 Korean cities and to map out the strategies to enhance the Chuncheon city's competitiveness based on the results of the evaluation on Chuncheon city's current and future competitiveness with focus on the impact of the city's hosting World Leisure Congress and World Leisure Games in 2010. By discussing city's future competitiveness as well as its current strength at the same time, the more comprehensive perspective required in reinforcing city competitiveness is proposed in this paper and issues related to a city's context and policy can be evaluated and their solutions can be sought after. The study can also contribute to the establishment of city's development policies and detect sustainable growth power for individual cities.

• Wind and Structures
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• v.37 no.6
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• pp.399-412
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• 2023

Previous studies have shown that the integrated transfer function (ITF) is independent of turbulence characteristics and can be effectively applied to predict the buffeting response of elongated structures, assuming that the strip hypothesis is valid. However, existing research has not effectively identified the ITF through segment model vibration tests, and the influence of the 3D effect on the accuracy of the strip hypothesis and the characteristics of the ITF in wind tunnel tests has not been quantitatively studied. A segment model vibration measurement device that can change a test model's span-width ratio was designed in this study. An airfoil section and a streamlined box girder section structure were taken as the background, and their ITFs were effectively identified under different L/B (L denotes the turbulent integral scale and B denotes the structural width) and model span-width ratios. The influence laws of the 3D effect on the accuracy of the strip hypothesis and ITF identification in wind tunnel tests were systematically investigated. The results showed that L/B and the structural span-width ratio are two significant controlling factors that affect the accuracy of the strip hypothesis and ITF identification. The research provides an effective experimental method for accurately predicting the buffeting response of elongated structures based on ITFs identified through segment model vibration tests.

• Information Systems Review
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• v.23 no.4
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• pp.87-102
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• 2021

Smart cities are attracting attention as a new economic growth engine based on new technologies and means to solve side effects of urbanization such as a surge in energy consumption, deepening environmental pollution, and an increase in crime rates. In particular, as demand for non-face-to-face services increases due to COVID-19, the role of smart cities that can provide various online and offline non-face-to-face services is becoming more important. Therefore, this study defined smart city non-face-to-face services based on literature research on the concept and underlying technology of smart city, and analyzed consumer utility for each service using Conjoint analysis. In particular, differences in user preferences between Sejong City and Busan City, which are currently designated as national smart city pilot cities in Korea, were compared and analyzed, and based on the derived results, measures to improve the competitiveness of smart city services were suggested.

• The Transactions of the Korea Information Processing Society
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• v.13 no.2
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• pp.1-12
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• 2024

Modern cities are actively adopting smart city services to address various urban challenges. Geospatial information acts as the foundational infrastructure of smart cities, promoting the sustainable development of urban areas. Consequently, as the standardization and utilization of geospatial information increase, the efficiency and sustainability of smart city operations improve. To achieve this, collaboration among diverse stakeholders is crucial for delivering optimal smart city services based on geospatial information. This paper defines smart city services, focusing on transportation and building-energy domains, based on the life cycle of geospatial information technology. Emphasis is placed on the importance of applying and utilizing geospatial information standards. Additionally, this paper proposes the Smart City based on Geospatial Information standards (SCGI) framework to provide insights into standardizing smart city services mapped to geospatial information standards. This research suggests a new paradigm for standardizing smart city services using geospatial information standards to offer customized solutions, thereby discussing the future development possibilities of smart cities.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.209-219
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• 2024

In this paper, we propose a study to investigate the significant impact of digital technology on the development of the cultural industry and tourism. By collecting, selecting, and analyzing data on digital music products from 281 cities in China from 2005 to 2022, we confirm that well-known digital music products play a crucial role in promoting domestic tourism economic growth. However, their impact on the international tourism economy is not significant. Furthermore, these well-known digital music products can not only promote the development of the regional tourism economy but also influence the tourism economy of neighboring cities. The promotional effect of well-known digital music products is particularly important in fourth- and fifth-tier cities with rich cultural diversity and abundant tourism resources. Overall, well-known digital music products have a positive role in stimulating market vitality and promoting regional tourism economic development. These findings provide an important foundation for the integrated development of culture and tourism in the digital age and offer valuable insights for upgrading regional industrial structures and fostering regional harmonious development.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.46-63
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• 2024

One of the biggest dangers in the globe is water contamination. Water is a necessity for human survival. In most cities, the digging of borewells is restricted. In some cities, the borewell is allowed for only drinking water. Hence, the scarcity of drinking water is a vital issue for industries and villas. Most of the water sources in and around the cities are also polluted, and it will cause significant health issues. Real-time quality observation is necessary to guarantee a secure supply of drinking water. We offer a model of a low-cost system of monitoring real-time water quality using IoT to address this issue. The potential for supporting the real world has expanded with the introduction of IoT and other sensors. Multiple sensors make up the suggested system, which is utilized to identify the physical and chemical features of the water. Various sensors can measure the parameters such as temperature, pH, and turbidity. The core controller can process the values measured by sensors. An Arduino model is implemented in the core controller. The sensor data is forwarded to the cloud database using a WI-FI setup. The observed data will be transferred and stored in a cloud-based database for further processing. It wasn't easy to analyze the water quality every time. Hence, an Optimized Neural Network-based automation system identifies water quality from remote locations. The performance of the feed-forward neural network classifier is further enhanced with a hybrid GA- PSO algorithm. The optimized neural network outperforms water quality prediction applications and yields 91% accuracy. The accuracy of the developed model is increased by 20% because of optimizing network parameters compared to the traditional feed-forward neural network. Significant improvement in precision and recall is also evidenced in the proposed work.

• Journal of Agricultural Extension & Community Development
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• v.30 no.4
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• pp.229-241
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• 2023

This study aims to examine the farm household income and consumption structure change as well as farm income inequality. Data from the Agricultural Household Survey for the years 2016, 2021, and 2022 were hired to analyze farm income inequality by the Gini coefficient decomposition method. Results show that from 2016 to 2021, all income quintiles exhibited an increasing trend, but in 2022, income decreased across all quintiles. As a result of analyzing farm household consumption expenditure, consumption expenditure increased in all income quintiles in 2021 and 2022 compared to 2016, but consumption of optional goods decreased in the fifth quintile. In addition, it was found that farmers in the first quartile had higher consumption expenditures and expenditures on options than those in the second quartile. The analysis of farm income by region show that public subsidies increased significantly for general rural farmers than for farmers in special and metropolitan areas in all income quintiles during the period. In the case of the first quintile, farm household income in rural areas in special and metropolitan cities increased compared to general rural areas. In the fifth quartile, agricultural income and sideline income in general rural areas increased compared to rural areas in special and metropolitan cities, while rural areas in special and metropolitan cities increased non-business income compared to rural areas. Results of farming income inequality by income type show a steady decline in inequality from 2016 to 2022, indicating that the decreasing gini coefficinet of public subsidies is contributing to the decline in farm income inequality. Private subsidies and side income are shown to increase inequality.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.2
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• pp.75-94
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• 2024

This study aims to examine changes in the location and spatial structure of the Korean manufacturing industry and to consider the factors that influenced them. From the 1960s to the 1980s, under Korea's export-oriented industrial policy and location policy of large-scale industrial complexes, a manufacturing spatial structure was centered on the Seoul Metropolitan Region and the Southeastern Region. Since the mid-1990s, with the emergence of economic globalization and strengthening corporate competitiveness, technology- and knowledge-intensive manufacturing and R&D activities have been concentrated in the Seoul Metropolitan Region. On the other hand, as the overseas relocation of assembly plants accelerated, the decline of industrial cities in the non-Metropolitan Region progressed. Since the 2010s, manufacturing and start-up activities have become more concentrated in the Seoul Metropolitan Region, showing signs of expanding to the adjacent northern Chungcheong Region. This results from changes in the global value chains followed by overseas relocation of production functions at the global level, and concentration of knowledge-intensive manufacturing and R&D activities in the Seoul Metropolitan Region at the national level, which are reflected in the spatial structure of the manufacturing industry.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.2
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• pp.120-132
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• 2024

In this paper, we examine how the market potential affects wages in the regions of Korea. Following Fallah et al.(2011), we construct a panel data set spanning from 2013 to 2020. After removing the characteristics that do not vary by region, changes in average wages were analyzed using a fixed effects model. Controlling for such region-specific characteristics as human capital, industrial structure, and population, the impact of market potential on wages was analyzed by first examining the entire group of cities in Korea, followed by just metropolitan areas and then small cities only. The regional wages are seen to increase across the board when the market potential improves. It was also found that, when the market potential increases, the resulting wage hike of small cities tends to be greater than that of large metropolitan areas.