Sang-Gyoon Kim;Jong-Seok Won;Yong-Beom Pyeon;Min-Kyung Cho
Journal of the Society of Disaster Information
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v.20
no.2
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pp.339-350
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2024
Purpose: This study analyzes accessibility of 10 hydrogen charging stations in Seoul and identifies areas that were difficult to access. The purpose is to re-analyze accessibility by adding a new location in terms of equity and safety of location placement, and then draw implications by comparing the improvement effects. Method: By applying the location-allocation model and the service area model based on network analysis of the ArcGIS program, areas with weak access were identified. The location selection method applied the 'Minimize Facilities' method in consideration of the need for rapid arrival to insufficient hydrogen charging stations. The limit distance for arrival within a specific time was analyzed by applying the average vehicle traffic speed(23.1km/h, Seoul Open Data Square) in 2022 to three categories: 3,850m(10minutes), 5,775m(15minutes), 7,700m(20minutes). In order to minimize conflicts over the installation of hydrogen charging stations, special standards of the Ministry of Trade, Industry and Energy applied to derive candidate sites for additional installation of hydrogen charging stations among existing gas stations and LPG/CNG charging stations. Result: As a result of the analysis, it was confirmed that accessibility was significantly improved by installing 5 new hydrogen charging stations at relatively safe gas stations and LPG/CNG charging stations in areas where access to the existing 10 hydrogen charging stations is weak within 20 minutes. Nevertheless, it was found that there are still areas where access remains difficult. Conclusion: The location allocation model is used to identify areas where access to hydrogen charging stations is difficult and prioritize installation, decision-making to select locations for hydrogen charging stations based on scientific evidence can be supported.
Many studies have identified the determinants of shippers' selection of ports, and of these, a number have repetitively cited major elements. However, different researchers came up with somewhat different research results depending on the position and preference of research targets. Accordingly, to deduce the determinants of shippers' selection of Gwangyang Port, appropriate research and analysis is required in addition to literature study. This study first deduced from previous studies the determinants that have influence on shippers when selecting a port and positively analyzed the effects of those determinants on the shippers using Gwangyang Port. In this regard, whether shippers using Gwangyang Port have continuously used the port was set as a dependent variable, and port service, port facilities, location of ports, port costs, and other determinants for port selection deduced in the previous studies were set as independent variables. This study's analysis finds shippers using Gwangyang Port are all influenced by the elements of port service, port facilities, location of ports, and port costs in their selection of Gwangyang Port. Their degree of importance is in the order of port costs, location of ports, port service and port facilities. This indicates that shippers consider port costs and location of ports more important than port facilities in their selection of a port.
Journal of the Korean Regional Science Association
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v.34
no.2
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pp.21-34
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2018
The purpose of this study is to analyze the spatial-temporal proliferation of individual factories in the Seoul Metropolitan Area and to provide policy implications. The location of the factory is divided into individual locations and planned locations. In the case of individual locations, it takes a long time to establish factories. Also, due to high cost and regulation, the establishment of individual factories is not easy. However, since the establishment process is simple and the price of land is low, the establishment of individual factories has led to an increase in the number of individual factories. The problem of the undeveloped factories is that the lack of infrastructure such as the road and environmental pollution treatment facilities around the factory deteriorates the pleasant environment and the cityscape and deteriorates the health of the residents in the surrounding area. In this study, we analyzed the location of individual factories established in the Seoul metropolitan area from 2001 to 2016 by using ArcGIS Pro. The results of the analysis are as follows. First, individual location factories are formed around existing industrial complexes and industrial sites. The reason for this is considered to be the external effect that can be obtained from the surrounding area. Secondly, since the Seoul city's individual location factories are established in many residential areas, it shows the conflicting result of the mixture of residence and factory. Third, the Gyeonggi province's individual location factories have a high proportion of non-urban areas. This is because the Gyeonggi province's management area occupies a larger proportion than other areas in Gyeonggi province. This study analyzed the spatial - temporal spreading process of individual factories and the unfolding of individual factories in the metropolitan area, and it can provide policy implications to control the over development of individual factories in the future.
Proceedings of the Korea Concrete Institute Conference
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2000.10a
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pp.315-319
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2000
This study is to analyze the effect of the cross beam in bridge design. The analysis on the cross beam using FEM method is to find the best location and numbers of the cross beam in bridges. These analysis will allow economical design and construction in the field.
This study was conducted to select the location of the logistics center for environment-friendly agricultural products in the Gwangyang Bay Area. AHP(Analytic Hierarchy Process) technique was used to examine location selection factors and factor hierarchy was made through a questionnaire survey and an expert interview for objective and quantitative decision. The hierarchy process of location factors of logistics center for environment-friendly agricultural products in the Gwangyang Bay Area were categorized into five factors such as natural factors, economic factors, social factors, distribution efficiency, and land use plan. Then, those factors were sub-categorized into three factors each. As a result of pair-wise comparison analysis of five categories, the weight of economic factors was the highest, and easy cargo transportation, fitness to higher-order plan, climate, land price, and limitation regulations of sub-categorized factors appeared as comparative evaluation criteria. The priority of the final candidate was decided through this process. While the weight of the Yulchon II Industrial Complex was the highest in natural and economic factors were the highest, the weight of the Gwangyang Hwanggeum Industrial Complex was the highest in social factors, distribution efficiency, and land use plan. The result of the final analysis showed that the Gwangyang Hwanggeum Industrial Complex was the most optimal location candidate for the logistics center for environment-friendly agricultural products.
Journal of the Korea Institute of Information and Communication Engineering
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v.11
no.2
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pp.422-429
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2007
Location awareness is one of the key functionalities to build an U-city. Recently, many of works of the location-aware systems are emerging to commercially apply to on-going large-scale apartment complex based on U-city. As dwellers or cars being attached with active tags are moving in the U-city complex, the active tags periodically broadcast their own identifiers and receivers fixed along the street or in building use those information to calculate location of them. There are several issues to be considered for such an environment. The first is that the number of active tags operating in the same region are large as much as tens of thousands, and the second is that the active tags should be alive without change of batteries more than a year, hence low power consumption is very important. In this paper we propose i) a new architecture for location-aware system considering such issues, ii) technical issues to implement it using active tags, and iii) a mathematical analytic model to investigate overall performance and verify it by comparing with actual experimental results. Through the analysis we can show the theoretical boundary of the lowest packet loss rate and the maximum number of tags with acceptable performance for the systems based on active tags. The results can be applied to practical design of location-based systems of U-City projects.
Purpose - Offshoring has emerged as one of the major trends in international trade and has become one of the strategies for achieving competitiveness in the global market. In spite of this, the expected gains of offshoring can be offset by hidden costs and risks, such as those associated with the COVID-19 pandemic, the trade war between the USA and China, and the ongoing trade dispute between Korea and Japan. To obviate such business failure and prevent critical business blunders, offshoring strategies that efficiently consider both risk elements and potential wealth creation are urgently need. The first purpose of this study is to contribute to the development of more advanced offshoring strategies to help host countries select the best locations to manage supply chain risks and create unique value. The second purpose is to specifically analyze the current status of Korea and provide Korean companies with implications to be considered when deciding whether to offshore or re-shore. Design/methodology - A Network DEA model was applied to measure the comparative location efficiency of national competencies for offshoring strategy from perspectives of wealth creation opportunities (profitability and marketability) and supply chain risk management. The location efficiencies are compared among a total 70 countries selected from the Global Competitiveness Index (GCI) and globally attractive locations outlined by Kearney (2017). For the secondary analysis of efficiency, a t-test examining the nature of competitive advantage and the level of sophistication in production processes was implemented in three divisions. We then analyzed differences in offshoring performance in terms of the identified national traits. Moreover, Tobit regression analysis is conducted to investigate the correlation between value-added business activities and each divisional efficiency, seeking to determine how each degree of value-added business activity influences the increase in offshoring productivity. Findings - Regarding overall location efficiency for offshoring performance, only the USA and Italy were identified as being efficient as host countries for offshoring, under circumstances of advanced development, such as productivity and risk management. Korea ranks 13th among 70 countries. The determinants of national competitiveness depend on national traits (the nature of competitive advantage and business sophistication). Countries with labor/resource advantages and labor-intensive industries are more competitive in terms of marketability than others. In contrast, countries with strong technology-intensive industries benefit offshoring companies, particularly in the technology sector, with the added advantage of supply chain risk management. As the perception of a value chain is broader in a country, it can achieve both production sophistication and competitive advantages such as marketability and SCRM. Originality/value - Existing studies focus on offshoring effectiveness from a company perspective. This paper contributes to comparing country efficiency in producing core competencies related to an offshoring strategy and also segments countries into three performance-based considerations associated with the global offshoring market. It also details Korea's position as an offshoring location according to national efficiency and competency.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.18
no.2
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pp.95-111
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2023
Korea has achieved a high startup rate by promoting government-led startup policies for national economic and industrial development. However, as high as the startup rate is, the closure rate of startup companies can be judged to be insufficient for the qualitative growth of the domestic startup ecosystem. This study aims to investigate how to improve the survival rate of startups by overcoming the valley of death from a location environment perspective. It analyzes the effects of technology orientation and market orientation of start-ups on management performance and the moderating effects of economic, accessibility, and network factors that constitute the location environment. To achieve the research objectives, the empirical analysis was conducted on start-up companies that received corporate support projects from innovation intermediary organizations. The results show that R&D capability of technology orientation has a significant effect on management performance, and market information generation and market information response of market orientation have a significant effect on management performance. As for the moderating effect, accessibility, a sub-factor of the location environment, has a positive moderating effect on the relationship between technological innovation and managerial performance, and the location environment (economy, accessibility, and network) has a positive moderating effect on the relationship between market information generation and managerial performance. This study compared and analyzed previous studies on the success and failure of start-ups and identified common factors. In addition, this study provides policy implications for the sustainable growth of startups through empirical analysis and interview with stakeholders. For future research, it is necessary to compare and analyze start-ups in metropolitan areas and non-metropolitan areas. In addition, it is necessary to study startups that have moved out of the region and into the metropolitan area to find ways to develop the regional startup ecosystem.
According to recent statistics, the number of family-owned small business have increased. And these growing numbers have created an urgent need for researchers and government to analyse and plan for this population. The purposes of this study were to identify the determining factors of the location of family owned small business and to analyze the factors related to their job satisfaction, and life satisfaction. The data used for this study, were 713 self-employed men and women which were elected from the panel data of 1998 MIPS of Daewoo Economic Research Institute. Statistics performed for the analysis were frequencies, percentiles, t-test, $\varkappa$$^2$, OLS and Logistic analysis. It was found that the person who work at home-base small office were the residents of smaller city, and are older than the office-going attendants. The variable which effects the job satisfaction of the home-based workers was the educational background. And sex was the only factor which affects the job satisfaction of the office-going attendants. It was also found that job satisfaction affects the life satisfaction significantly in both group.
Journal of Information Technology Applications and Management
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v.11
no.4
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pp.95-102
/
2004
This paper proposes a method of segmenting compound nouns which include unregistered nouns into a correct combination of unit nouns using characteristics of person's names, loanwords, and location names. Korean person's name is generally composed of 3 syllables, only relatively small number of syllables is used as last names, and the second and the third syllables combination is somewhat restrictive. Also many person's names appear with clue words in compound nouns. Most loanwords have one or more syllables which cannot appear in Korean words, or have sequences of syllables different from usual Korean words. Location names are generally used with clue words designating districts in compound nouns. Use of above characteristics to analyze compound nouns not only makes segmentation more accurate, helps natural language systems use semantic categories of those unregistered nouns. Experimental results show that the precision of our method is approximately 98% on average. The precision of human names and loanwords recognition is about 94% and about 92% respectively.
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