• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1109-1113
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• 2010

창원시는 경제성장에 따른 도시화 현상으로 경작지나 녹지와 같은 투수지표면이 대단위 주택단지나 도로, 상업지구, 공장시설과 같은 불투수지표면으로 변화되어 전형적인 도시 유역특성을 띠고 있어 SWMM 모형의 적용에 적합하다. 적용대상인 남천은 창원시를 관류하는 유로연장 14.7 km의 하천으로 지류인 창원천을 포함하고 있으며, 2007년부터 환경부 지원 시범사업으로 생태하천복원사업이 계획되어 실시설계 완료 후 공사가 진행 중이나, 복원 후 하천관리를 위한 유지유량 산정 등의 타당성과 관련한 문제가 지역사회에서의 화두로 대두되고 있다. 따라서 본 연구에서는 남천 유역의 특성을 적절히 고려한 유지유량 산정을 통해 향후 복원된 남천의 하천관리기준을 제시하고자 하였다. 본 연구에서는 2008년 실측된 남천과 창원천의 유량자료와 SWMM 유출량 모의결과를 비교, 분석하였다. 남천의 유량자료는 2008년 5월 6일부터 8월 20일까지 실측하였으며, 남천의 지류인 창원천은 유량자료 취득구간이었던 창원천교 지점에서 생태하천복원사업이 진행됨에 따라 유량자료를 취득할 수 없었으므로 남천의 유량자료를 이용하여 비유량법으로 추정하였다. 유출량 산정을 위한 강우자료는 기상청 자료를 사용하는 것이 일반적이나 마산과 창원의 강우자료를 이용한 분석 결과 강우 패턴에 차이가 있음을 발견하고 마산기상대의 자료 대신, 창원시에서 제공한 5년간 (2005년~2009년)의 자료를 사용하였다. SWAT을 이용하여 남천 유역을 39개의 소유역으로 분할하고 Arc View를 이용하여 지형인자들을 추출하여 SWMM 입력자료로 사용하였다. 입력자료 중 유출량 추정에 큰 영향을 끼치는 매개변수들은 민감도 분석을 통하여 최적의 매개변수들을 결정하고 연유출량 추정을 위한 모의를 수행하였다. 이상의 과정을 통하여 남천의 연유출량을 추정함으로써 하천관리를 위한 유지유량 산정의 기초로 활용할 수 있었다.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.159-178
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• 2018

The purpose of this study is to understand the characteristics of books selected for 'The Big Read' community reading initiative of the National Endowment for the Arts from 2006 to 2017 and its relation with 'One Book, One City' community reading campaign in the U.S.A. An analysis of 1,407 TBR programs and 745 participating communities, and 56 books from TBR Library shows that TBR expands and complements 'One Book' reading campaigns, and confirms the sustenance of this innovative model. TBR Libray books were selected with TBR's own criteria, but their features are generally very similar to those of 1,102 books selected for 'One Book' programs. They often reflect some interests in such universal values as coming of age, justice, integrity, etc. and diverse cultural experiences and life. The outcomes of 'One Book' and TBR cannot be qualitatively measured, but their sustainable value of communication through one selected book has been well proved.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.62-62
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• 2020

기후변화에 따른 기온과 강수량 등 기상조건의 변화로 인하여 기상·자연재해뿐만 아니라 작물의 수확량 감소, 병해충 및 잡초 발생의 증가, 흙과 물의 부족, 재배 적지의 변화와 같은 농업인프라 또한 기후변화의 피해가 발생하고 있다. 농업수자원 측면에서, 농어촌용수는 자연적으로 내리는 강우를 직접 작물성장에 사용하기 때문에 기후변화에 특히 민감하다. 또한 기온의 변화는 농업용 저수지의 증발량 및 유입량의 변화를 일으키며 이러한 변화는 곧 저수위 및 저수량의 변화를 유발하여 농업·농촌 수자원 관리의 어려움으로 이어질 것으로 판단된다. 이에 따라, 기후변화에 따라 예상되는 대규모 자연재해를 대비하고 기후변화에 효율적으로 대처하기 위해서는 체계적이고 과학적인 기상·기후 정보의 활용이 중요하며 기후변화로 인한 농업 기상재해 최소화를 위해서는 다양한 기후변화 시나리오를 활용하여 미래 기상·기후의 변화에 대한 경향성 분석 및 예측을 통한 영향 평가가 필요하다. 본 연구는 전국 농어촌용수구역 517개 용수구역 중 접경·도시·도서지역을 제외한 511개 용수구역을 대상으로 증발산량 산정이 가능한 RCP 8.5 기후변화 시나리오 9개를 지역별로 상대적인 기후사상의 크기와 빈도 및 강도 정량적으로 평가할 수 있는 STARDEX 극한지수를 적용하여 시나리오의 미래 기상전망을 실시하였다. 기상전망 결과를 이용하여 Kendall-Tau 검정을 통해 시나리오의 순위를 적용하여 각 시나리오의 미래기후변화의 상대적인 정도를 평가하였고, 9개의 기후변화 시나리오를 DIROM(Daily Irrigation Reservoir Operation Model) 모형에 적용하여 기후변화 시나리오의 높은 불확실성을 고려한 미래 농어촌용수구역의 농어촌용수 필요수량 변화를 지역적으로 분석하고 미래 농어촌용수량의 최대·최소 변화 범위를 제시하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.104-109
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• 2017

The flooding and deterioration of water quality caused by urbanization and climate change are becoming more serious. In order to respond to this, studies on low impact development (LID) technology, which is designed to restore the hydrological system of the urban basin to its natural state, have been actively pursued all over the world, The announcement of the low carbon green growth law, hydrophilic area special law, etc., highlights the importance of technology such as the LID method. However, whereas various developments have been made in relation to the current LID element technology, there has been little research designed to verify its effectiveness. In this study, we analyzed the optimum spatial distribution of pitcher fire pitcher packing in parking lots using the K - LIDM model to verify the effectiveness of the low impact development (LID) method in the early stages. Using the eight package scenario and the three rain intensity scenarios, it was found that the lower 40% pitcher packaging results in an approximately 90% spill reduction effect, as in the case of the whole pitcher's package. The confirmation of these analyses and experimental verification is expected to ensure that the actual pitcher packaging will be used as a basis for arranging LID facilities such as urban planning and housing development in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.200-215
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• 2023

With the rapid advance of autonomous driving technology, the related vehicle market is experiencing explosive growth, and it is anticipated that the era of fully autonomous vehicles will arrive in the near future. However, along with the development of autonomous driving technology, questions regarding its safety and reliability continue to be raised. Concerns among technology adopters are increasing due to media reports of accidents involving autonomous vehicles. To promote the improvement of the safety of autonomous vehicles, it is essential to analyze previous accident cases and identify their causes. Therefore, in this study, we aimed to analyze the factors influencing the severity of autonomous vehicle accidents using previous accident cases and related data. The data used for this research primarily comprised autonomous vehicle accident reports collected and distributed by the California Department of Motor Vehicles (CA DMV). Spatial information on accident locations and additional traffic data were also collected and utilized. Given that the primary data used in this study were accident reports, a Poisson regression analysis was conducted to model the expected number of accidents. The research results indicated that the severity of autonomous vehicle accidents increases in areas with low lighting, the presence of bicycle or bus-exclusive lanes, and a history of pedestrian and bicycle accidents. These findings are expected to serve as foundational data for the development of algorithms to enhance the safety of autonomous vehicles and promote the installation of related transportation infrastructure.

• Journal of the Korean Geographical Society
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• v.43 no.5
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• pp.743-760
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• 2008

This paper attempts to examine how Maryland's Priority Funding Area (PFA) designation and incentive program has influenced the location of infrastructure investment. Is Maryland's PFA program reducing sprawl? In order to answer this question, data on the water and sewer infrastructure investments between 1997 and 2003 are collected from each county in the state. Empirical works are composed of two parts. The first part of the empirical analysis examines the pattern of water and sewer investment that has gone in and outside the PFAs between 1997 and 2003 at the county level. The second part of the empirical study shows at a county level the conditions that influence decisions to go in and outside the PFA. Regression models with various specifications are used for the analysis. The findings reveal that state fund has worked as designed. The coefficients of state fund in all estimations are significant and have expected signs implying that a county with more state fund tends to invest more in PFA as less outside.

• Journal of Korea Port Economic Association
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• v.28 no.2
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• pp.1-27
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• 2012

As more manufacturing and global businesses are being pulled into the port area, the idea of a Port Business Valley (PBV) is being pondered as it would create jobs and added value. The PBV would be centered around the harbor and be connected to the port, a logistics district, an industrial district, and the city. The resulting domestic and foreign investment in logistics, industry, business, tourism, living, etc. would vitalize the geographical characteristics of Incheon Port. It would also generate the largest amount of ripple effects between industries in the PBV. However, up until recently, the most frequently offered examples of planning that have helped logistics of a port to grow that have used a PBV have been those of Busan New Port and Gwangyang Port. However, this study is the result of the recent inception of the idea of creating a PBV centered around Incheon Port and the need for experts to develop a plan for such a PBV in Incheon by conducting a site specific study. The aim of this study is to set up the concept of PBV and establish PBV model of Incheon Port. In addition, this study identifies construct factors and their strategies for establish PBV of Incheon Port and then, shows the key factors and related-strategies on Fuzzy-AHP analysis from a survey of logistics experts with Incheon Port.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.6D
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• pp.697-705
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• 2010

The purpose of this research is to clarify the relation between environmental consciousness and railway usage behavior. Author would locate this research on position of basic survey to promote railway use according to Low Carbon Green Growth policy in Korea. In this research, we would perform descriptive analysis using data of research on the actual condition of railway use in 2008, Daegu, and describe its relationship. In addition, we would suggest some idea about policy which can promote railway use. The order of railway choice behavior noticed in clustering of environmental consciousness was cooperative behavior type, middle type and non-cooperative behavior type. It suggests that environmental consciousness has effect on transportation choice behavior. Specially, railway improvement isn't enough to promote railway use. And, it is advisable to carry out the improvement in such a way that it may encourage the nation to move from the current environmental consciousness stage to cooperative behavior. Moreover, we assumed Binary Probit(BP) model using SP data of time or condition of transportation expense compared with passenger car and bus. As the results, modified likelihood ratio of two BP models is favorable variables. And it occurred that mode was transferred from passenger car to railway when it showed higher social environment consciousness and low selfish environment consciousness, because t-statistic which represents selfish environment consciousness showed significance in 95% confidence level. That is, it can be described that environment consciousness affect on the intention of railway use.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.1D
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• pp.17-25
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• 2010

In Korea, the importance of walking has not been stood out in relief because of the rapid increase of a car on a drastic economic growth in the past half a century. Walking has failed to be recognized as a traffic measure or one of basic human rights. Therefore this study brings up problems of weakened walking right from increase of cars and examines reinforcing policies for walking right of advanced countries. And this study presents institutional devices for introducing walking safety measures of advanced countries reflecting pedestrian satisfaction and opinions about walking right. The results of this study are, First, pedestrians' walking liberty is guaranteed, Second, how to repair walking environment is searched and practical measures are analyzed to find out what is applicable to Korea, can reduce pedestrian accidents and is wanted by pedestrians using GAP analysis and Structural Equation. Third, basic data for upcoming selection of policies are presented by analyzing pedestrian satisfaction assuming that selected measures are operated.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.95-118
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• 2017

Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government's spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper research.