• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.153-179
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• 2014

This study explores the characteristics of centrality measures for analyzing researchers' impact and structural positions in research collaboration networks. We investigate four binary network centrality measures (degree centrality, closeness centrality, betweenness centrality, and PageRank), and seven existing weighted network centrality measures (triangle betweenness centrality, mean association, weighted PageRank, collaboration h-index, collaboration hs-index, complex degree centrality, and c-index) for research collaboration networks. And we propose SSR, which is a new weighted centrality measure for collaboration networks. Using research collaboration data from three different research domains including architecture, library and information science, and marketing, the above twelve centrality measures are calculated and compared each other. Results indicate that the weighted network centrality measures are needed to consider collaboration strength as well as collaboration range in research collaboration networks. We also recommend that when considering both collaboration strength and range, it is appropriate to apply triangle betweenness centrality and SSR to investigate global centrality and local centrality in collaboration networks.

• Journal of the Korean Society for information Management
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• v.34 no.2
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• pp.81-95
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• 2017

This study examined two characteristics of library and information science (LIS) journals in Korea through analysis of journal coupling with common authors. This study also illustrated the trend of Korean LIS research in the recent decade. The notable change is that record management and archival studies settle in LIS domain as a major research area. We introduced two indicators, Publishing Preference Index (PPI) and Researcher Attraction Index (RAI), based on the degree of common authors among journals. Both indicators revealed notable changes in author coupling, including reversal of PPIs in some journals, which can be interpreted as proof of changes in their author groups. The RAI analysis, which measured the degree of journals' attractiveness to Korean LIS researchers and author sharing between two journals, illustrated the journals' states in a domain; this result can help find both an isolated journal and strongly bonded journals in the specific domain. Journal coupling with common authors introduced in this study proved to be an effective investigative method for illustrating journals' states in a specified domain as well as a multidisciplinary area.

• Proceedings of the Korea Society for Simulation Conference
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• 1998.03a
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• pp.37-37
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• 1998

현재 정부는 우리나라 물동량 증가에 따른 수도권 항만의 기능 재정립 및 신항만 입지를 선정하기 위한 조사·연구를 진행중이다. 본 연구에서는 현행 인천항의 항만 시스템과 신규항만 시스템에 대한 컴퓨터 시뮬레이션 모형을 개발하여 신항만 개발로 인한 선박대기시간의 감소 및 항만 체류 시간의 감소 등을 예측하였다. 이 결과는 신항만 개발의 경제적 타당성 분석에서 사용자 편익으로 활용될 수 있다. 시뮬레이션 모형은 ARENA를 이용하여 개발하였다. 수도권 항만 즉 인천항에서 처리되는 화물은 양곡을 비롯한 12개 품목이며, 각각의 화물은 5단계의 규모별로 나누어 선박의 도착간격 및 재항시간 분포 등을 1995년 인천항의 실제 자료를 토대로 추정하였다. 선박의 도착간격은 지수 분포로 나타났으며, 서비스시간은 삼각분포(Triangular Distribution)로 근사되었다. 화물량 예측치가 1996, 2001, 2006, 2011, 2020년으로 되어 있고, 이에 따른 신항만 입지 및 규모가 결정됨에 따라 각 연도별로 신항만을 개발할 경우와 개발하지 않은 경우의 각각에 대한 연간 화물별 선박대기 시간 및 재항시간 등을 추정하였다.

• Land and Housing Review
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• v.15 no.1
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• pp.57-75
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• 2024

To create dynamic and bustling urban environments, a diverse array of commercial facilities is indispensable. These facilities are recognised as pivotal in attracting and accommodating a larger floating population, thereby suggesting that a greater diversity of commercial establishments fosters heightened consumer expenditure. With this premise, our study endeavours to explore the influence of commercial facility diversity on the Consumer Centre Index. Focused on the temporal context of 2021 and the spatial context of Seoul, our analysis utilizes the Consumer Centre Index, derived from Kernel Density analysis, as the dependent variable. Independent variables encompass factors reflecting commercial attributes and urban characteristics. Employing spatial regression analysis at the administrative district level, we discern that the clustering of similar industries exerts a more pronounced positive effect on consumer activation compared to the clustering of disparate industries. Additionally, the findings underscore the importance of concentrating industries that bolster consumer activation. Anticipated outcomes of this study include insights beneficial for optimizing commercial facility location policies within the consumer market.

• Journal of Korean Society of Forest Science
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• v.101 no.1
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• pp.53-61
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• 2012

This study developed a growth model for Larix leptolepis based on the WLS model to examine the effects of climate change on them. The site index was chosen as the dependent variable and location, weather, and edaphic factor were chosen as independent variables. Simulations were performed under three A1B climate change scenarios with the temperature ranging from $-3.3^{\circ}C$ to $+3.3^{\circ}C$. The simulation results showed that the site index decreased with peak at $-0.8^{\circ}C$. The decrease level of the site index by region was also analyzed. Each scenario, site index has decreased mostly but some region was increased. When the temperature increased up to $3^{\circ}C$, site index was decreased to everywhere.

• Journal of Korean Society of Forest Science
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• v.90 no.3
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• pp.295-305
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• 2001

This study was conducted to reveal stand structure and competition status by site types of natural deciduous forest in Pyungchang, Kangwon-do. The study site was divided by nine different types based on elevation(higher than 1,000m, 700~1,000m. lower than 700m) and topography(ridge, slope, valley). The objective of this study is to provide a basic information necessary for the environment-friendly management methods of natural deciduous forest on the basis of the stand structure and competition status by site types. It is confirmed that the range from 700m to 1,000m in elevation was the most suitable for stand growth. Species diversity and richness index also tended to be increased as elevation decreased. The ridge was the best in terms of stand growth by topography and followed by slope and valley in order. In addition, as expected, species with high importance value showed relatively low evenness index. The distance-independent competition index was selected as the best competition index model in seven site types of natural deciduous forest. On the other hand, the distance-dependent competition index was highly correlated with periodic annual increment of diameter in both ridge at higher than 1,000m and valley of 700m to 1,000m in elevation. It is proved, as a result, that the best competition index model is somewhat different by site types. From the analysis growth characteristics and competition status by site types, it is identified that the species with high importance value performed well in both growth and competition. The growth of Q. mongolica was excellent in the areas of higher elevation than 700m. Although K. pilus had relatively low importance value in higher elevation than 1,000m and ridge of 700m to 1,000m, the species had stronger competition status rather than other species. Also, U. davidiana and M. amurensis were good in competition status at lower elevation than 1,000m. It is necessary, therefore, that appropriate tending practice should be adopted based on the growth pattern and competition status of each species distributed by site types.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.19-33
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• 2024

CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.

• Journal of the Korean Geographical Society
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• v.48 no.1
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• pp.56-71
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• 2013

The purpose of this study is to examine the spatial distributional characteristics of industries among the Korean cities and to conduct industry classification using the findings. For this purpose, 82 cities in Korea are investigated with respect to 15 industrial sectors. In the analysis, concentration of and association between industries are recognized using both geographic and non-geographic measures. In order to measure concentration and association, locational Gini coefficient, Moran's I, correlation coefficient, and bivatiate Moran are used and 15 industrial sectors are classified based on these estimates. The findings reveal that the chemical sector shows strong geographic and non-geographic concentrations while the assembly, machinery and electronics sector only shows a strong geographic concentration. Printing and publishing, wholesale, and business services show a strong non-geographic association with other sectors. The remaining ten sectors show no explicit distribution patterns among cities. This study contributes to providing the methodology that analyzes the spatial distribution patterns of industries in a comprehensive way and is able to provide useful information in implementing industrial location policies including industrial clusters.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.279-290
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• 2009

This study aims at analyzing the structure of the regional industries in Daejeon, including Choongchung area and the measurement of Regional Innovation Ability Index. The study also investigates the environment of the regional innovation activities in terms of Regional Location Quotient Index. The study mainly focuses on the estimation of four types of innovation ability indexes, i.e., human resource, knowledge creation, knowledge transfer and application, and innovation supporting finance output market. The findings indicate that Daejeon showed the highest index 2.977, and Seoul recorded 2.650 as the second rank. The indexes of Choongnam and Choongbuk were 2.034 and 2.082, respectively, which reached to 76%~78% of that of Seoul. The indexes of the other cities accounted for only 50%~60% of that of Deajeon city. This study concludes that there is a regional difference particularly in the knowledge creation area.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.2
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• pp.181-200
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• 2021

The phenomenon that young people avoid employment in industrial complexes, which is one of the biggest issues at social and economic dimension, is getting more important. The purpose of this study is to analyze the characteristics of youth attraction types by industrial complexes by making Youth Attraction Index. First, as the correlation between youth distribution of each industrial complex and youth attraction index of each industrial complex is analyzed, it shows a high level of correlation coefficient. There is also positive correlation between youth distribution of industrial complexes and other specific sectors except for accessibility. In addition, industrial complexes with superior working environment, innovation environment and amenities of surrounded areas are included in type I(type with superior youth attraction) and different characteristics are shown by each type. In consideration of these, policy priorities of each type are suggested. Based on these results, customized package programs need to be established for each type of youth attraction.