• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.121-132
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• 2015

Yangsan ICD (Inland Container Depot) has played an important role for Busan Port and Korea's port & logistics industries, increasing international logistics competitiveness and containers' transportation competitiveness in Busan region dealing with 1330 thousand TEU in 2005, since its opening in March 2000. However, it is necessary to seek new measures to revitalize Yangsan ICD, since its cargo volume decreased rapidly owing to the opening of Busan New Port and hinterland in 2006. This study constructed an evaluation model using AHP (Analytic Hierarchy Process) and conducted a survey targeting local businesses and persons concerned in Yangsan ICD to seek measures for revitalization. The results suggest that Yangsan ICD needs to switch functions to logistics centers (terminal facilities, logistics warehouse) for revitalization considering its advantage of facility location. Moreover, by extending the utilization period and securing building-to-land ratio, existing and new businesses' stable activity should be guaranteed. Furthermore, utilizing facilities such as the railway station in ICD, an active railway revitalization policy may increase cargo volume. Yangsan ICD should perform its role as an inland logistics depot through the revitalization of railway freight transportation in the national logistics system focusing on road freight transportation.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.8
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• pp.51-58
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• 2018

G-SEED has been introduced with the aim of reducing energy use and resources since 2002, as the system of certificating environmental friendliness of buildings to create comfortable environment. This study analyzed the changes of certification standard of G-SEED since the revision in 2016, comparing certification results of office buildings by grade, category and certification items between G-SEED 2013-2 version and revised version of 2016. Also, this study analyzed the average points and their standard deviation of certification items including both deleted items and newly added items and extracted items needed to be reviewed in the future revision. In the revision, G-SEED has been extended its certification system to involve existing buildings and Innovative Design categories newly introduced with revising the certification items and difficulties. In revised version of G-SEED, the certification grade appeared to change its acquisition ratio decreasing Green2 and increasing Green4, during Green1 and Green3 were similar in proportion. The average scores by categories appeared decrease in Energy and Environmental Pollution category and Materials and Resources category, on the other hand, Maintenance category appeared the highest increase in the average score. Otherwise, Land Use and Transportation, Water Circulation, Ecology, Indoor Environment categories appeared similar average scores both version of G-SEED. In addition, the Innovative Design which was newly introduced category, seems to expect gradual gaining high scores according to technology development in future, although its possession has shown lower scores in revised version.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.79-85
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• 2019

The policy introduced recently in order to promote small-size reconstruction housing projects for rehabilitating downtown area consists of aged multi houses has been little practiced, as preferential provisions for such projects are more likely applicable for large projects. Several expert interviews and surveys were conducted to find efficient clauses to overcome the problems and their relative weights. As the results, it is revealed that 'relation of floor area ratio' and 'relaxation of building height limit criteria' are the most effective whereas 'purchasing and operating of residents' common facilities with public fund' is little. The study results would be a great interests for public institutions to rebuild aged housing area without destroying local communities and to provide socially disadvantaged class with rental housing at the same time.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.87-96
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• 2022

This paper is an empirical analysis as a reference model that can predict up to the maximum number of elementary school student care needs in local governments across the country. This study analyzed and predicted the characteristics of the region based on machine learning to predict the demand for elementary care in a new apartment complex. For this purpose, a total of 292 variables were used, including data related to apartment structure, such as number of parking spaces per household, and building-to-land ratio, environmental data around apartments such as distance to elementary schools, and population data of administrative districts. The use of various variables is of great significance, and it is meaningful in complex analysis. It is also an empirical case study that increased the reliability of the model through comparison with the actual value of the basic local government.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.771-783
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• 2023

This study aims to compare the performance of each machine learning model for preparing a grid-based disaster risk map related to flooding in Jung-gu, Ulsan, for Typhoon Chaba which occurred in 2016. Dynamic data such as rainfall and river height, and static data such as building, population, and land cover data were used to conduct a risk analysis of flooding disasters. The data were constructed as 10 m-sized grid data based on the national point number, and a sample dataset was constructed using the risk value calculated for each grid as a dependent variable and the value of five influencing factors as an independent variable. The total number of sample datasets is 15,910, and the training, verification, and test datasets are randomly extracted at a 6:2:2 ratio to build a machine-learning model. Machine learning used random forest (RF), support vector machine (SVM), and k-nearest neighbor (KNN) techniques, and prediction accuracy by the model was found to be excellent in the order of SVM (91.05%), RF (83.08%), and KNN (76.52%). As a result of deriving the priority of influencing factors through the RF model, it was confirmed that rainfall and river water levels greatly influenced the risk.

• Proceedings of the Korea Concrete Institute Conference
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• 1994.10a
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• pp.167-170
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• 1994

To reduce the size of structural members, high strength concrete has recently been utilized for structure such as ultra-high-rise buildings and prestressed concrete bridges in North America, and its compressive strength has gone up to 1300kg/$\textrm{cm}^2$. In Japan, research on high-strength concrete has been undertaken on a large scale by the national enterprise so-called New RC Project. And high-strength concrete with a design compressive strength over 450kg/$\textrm{cm}^2$ has recently been employed for high rised reinforced concrete building. As a result of the serious land availability situation of metropolitan areas in the world, buildings will become taller, and even higher strengths will be required. In the future, the utilization of high-strength concrete will spread widely through the development of new structural concepts, application of steels of a higher yield stress, silica fume, and other new materials. Considering these circumstance, the aim of this experimental study is to develop ultra-high-strength concrete with compressive strength over 1800kg/$\textrm{cm}^2$ with domestic current materials. There are so many factors which influence the manufacturing of ultra-high-strength concrete. The experimental factors selected in this study are mixing methods, curing methods, water-binder ratio, maximum size of coarse by silica fume. The results of this experimental study show that it is possible to develop the ultra-high-strength concrete with compressive strength over 1700kg/$\textrm{cm}^2$ at 28days, 1800kg/$\textrm{cm}^2$ at 56 days.

• Proceedings of the Korea Concrete Institute Conference
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• 1994.10a
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• pp.171-174
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• 1994

To reduce the size of structural members, high strength concrete has recently been utilized for structure such as ultra-high-rise buildings and prestressed concrete bridges in North America, and its compressive strength has gone up to 1300kg/$\textrm{cm}^2$. In Japan, research on high-strength concrete has been undertaken on a large scale by the national enterprise so-called New RC Project. And high-strength concrete with a design compressive strength over 450kg/$\textrm{cm}^2$ has recently been employed for high rised reinforced concrete building. As a result of the serious land availability situation of metropolitan areas in the world, buildings will become taller, and even higher strengths will be required. In the future, the utilization of high-strength concrete will spread widely through the development of new structural concepts, application of steels of a higher yield stress, silica fume, and other new materials. Considering these circumstance, the aim of this experimental study is to develop ultra-high-strength concrete with compressive strength over 1800kg/$\textrm{cm}^2$ with domestic current materials. There are so many factors which influence the manufacturing of ultra-high-strength concrete. The experimental factors selected in this study are mixing methods, curing methods, water-binder ratio, maximum size of coarse by silica fume. The results of this experimental study show that it is possible to develop the ultra-high-strength concrete with compressive strength over 1700kg/$\textrm{cm}^2$ at 28days, 1800kg/$\textrm{cm}^2$ at 56 days.

• Ecology and Resilient Infrastructure
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• v.7 no.4
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• pp.336-344
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• 2020

The prediction and evaluation of driftwood accumulation around river-crossing structures are essential because driftwood accumulation increases during flood disasters. In this study, the driftwood accumulation and behavior around bridge piers were evaluated via a numerical model that could be employed to analyze three-dimensional turbulent flow and driftwood motion. The moving particle semi-implicit-based model for driftwood motion was sensitive to the number of spheres. The numerical results showed that the approach velocity and the ratio of driftwood length to pier width were the key factors influencing driftwood accumulation, whereas the driftwood density had only a minor influence. Overall, it is expected that this study will contribute to the development of improved risk evaluation indexes for assessing driftwood accumulation around river-crossing structures.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.497-505
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• 2017

TDF (Tire derived fuel) Fly ash is an industrial by-product when scraped tire was used a fuel source at the power plant. TDF Fly ash has been classified as domestic waste at the workplace so far and has not been appropriately utilized. We conducted a fundamental physical property test of asphalt mixture to investigate the possibility of using TDF Fly ash as a mineral filler of asphalt mixture for exploring new usage strategies. TDF Fly ash meets KS F 3501 asphalt mixture mineral filler criteria. And the optimal asphalt binder amount was determined to be 4.5% by Marshall design. Mineral filler content was determined at 3% and analyzed by comparing using mineral filler as stone powder. The basic physical property test of the asphalt mixture was evaluated to the provision indicated in "Production and Construction Guidelines for Asphalt Mixture" published by the Ministry of Land, Infrastructure and Transport. In the test, Marshall stability test, dynamic immersion test, tensile strength ratio test, wheel tracking test were carried out. As a result of the experiment, Marshall stability and dynamic stability satisfied the standards, and confirmed the stability and Dynamic immersion and tensile strength ratio test that TDF Fly ash is more effective for scaling and moisture resistance than stone dust. Therefore, in this research, it is expected that multilateral utilization of TDF Fly ash, and a positive effect can be also expected.

• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.2
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• pp.29-39
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• 2011

Recent interests in the quality of urban space have raised awareness on the role and importance of landscape planning. Although laws and guidelines are officially ready to be imposed as for landscape planning, we do not have concrete materials that can be utilized in the course of practices. The aim of this paper in this regard is to disclose the possible difference in awareness on 'visual landscape control elements' among experts engaged with urban space planning. The expert groups are distinguished to three which are for a planning, design and engineering and the survey is made by questionnaires. The results are analyzed through basic technology statistics in SPSS and independent-sample t-test provided. The survey is done by tens of 'control elements' and the result is that specially, group 1 and group 2 in mixed landscape has the most discrepancy in awareness on those elements but relatively, they has less discrepancy in awareness on compare with other groups through all landscape area. In case of artificial landscape and mixed landscape in 'landscape controled area', the result for comparing between G1 and G2 is that there are the most discrepancy in awareness which are 7 control elements. In case of mixed landscape in 'landscape promoted area', there are 4 control elements for discrepancy in awareness between G2 and G3 which is quite different. The control elements which show the most discrepancy in awareness is height, floor space and building to land ratio in order. The shape elements has only discrepancy in awareness for comparing between G1 and G2 of artificial landscape in 'landscape controled area'. In terms of the average evaluation score of the appropriateness of these control elements, G1 seems to appreciate the role of these elements in systematic landscape planning more than the other group does. In other words, relatively low scores are given by G2 as for the overall functionality of visual landscape control elements. The texture, floor space and building of land ratio has low evaluation score for all area and types. It means that it should reverify for appropriateness of performance for landscape planning as visual landscape control elements.