• Journal of the Korean Society for Railway
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• v.20 no.2
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• pp.265-274
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• 2017

For accurate demand forecasting of railway logistics, we estimated intercity freight mode choice models based on the binary logit model and using production-consumption data from the Korea Transport Database. We estimated two types of models and compared the results by major item of railway logistics, such as container, cement, and steel: 1) The aggregate freight mode choice models are based on the revealed preference (RP) data and 2) The disaggregate models are based on the stated preference (SP) data. With respect to the container, the travel time variable was found to be statistically significant; however, the travel cost variable was not statistically significant in the RP model, while the travel cost variable was statistically significant in the SP model. For cement and steel, the travel cost variables were statistically significant but the travel time variables were not statistically significant in either the RP or the SP models. These results are inconsistent with results from previous studies based on SP data, which showed that the travel time variables were significant. Consequently, it can be concluded that the travel time factor should be considered in container transport, but that this factor is negligible for cement and steel transport.

• International Journal of Naval Architecture and Ocean Engineering
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• v.10 no.3
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• pp.376-384
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• 2018

Selection of suitable ice class for ships operation is an important but not simple task. The increased exploitation of the Polar waters, both seasonal periods and geographical areas, as well as the introduction of new international design standards such as Polar Code, reduces the relevancy of using existing experience as basis for the selection, and new methods and knowledge have to be developed. This paper will analyse what can be the limiting ice thickness for ships navigating in the Russian Arctic and designed according to the Finnish-Swedish ice class rules. The permanent deformations of ice-strengthened shell structures for various ice classes is determined using MT Uikku as the typical size of a vessel navigating in ice. The ice load in various conditions is determined using the ARCDEV data from the winter 1998 as the basic database. By comparing the measured load in various ice conditions with the serviceability limit state of the structures, the limiting ice thickness for various ice classes is determined. The database for maximum loads includes 3-weeks ice load measurements during April 1998 on the Kara Sea mainly by icebreaker assistance. Gumbel 1 distribution is fitted on the measured 20 min maximum values and the data is divided into various classes using ship speed, ice thickness and ice concentration as the main parameters. Results encouragingly show that present designs are safer than assumed in the Polar Code suggesting that assisted operation in Arctic conditions is feasible in rougher conditions than indicated in the Polar Code.

• Journal of the Korean Institute of Gas
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• v.22 no.3
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• pp.53-64
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• 2018

Natural gas is an explosive fluid and can cause severe human/material damage when buried high-pressure pipeline is failure, and there have been reported cases of considerable human life damage to actual buried pipeline failure. In domestic cases, the length and duration of pipeline operating are short due to rapid growth. Therefore, it is a fact that the establishment of effective accident data is insufficient for the cause of the accident. In order to systematically construct an accident database, the operation history of natural gas pipeline is longer than domestic, and the cause and frequency analysis of recent natural gas pipeline related accidents occurred in overseas major countries with a long pipeline network was conducted. Then, after grasping the trend of occurrence frequency by incident cause, we tried to establish the foundation for securing the stability of the domestic high-pressure gas transport pipeline network.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.4
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• pp.559-569
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• 2022

Infrastructure engineering is a field that supports construction (assembly) as a representative industry that creates high added value and jobs by combining science and technology with knowledge, though its importance is underestimated. According to a report from the Ministry of Land, Infrastructure and Transport (Korea), the value-added rate (65.3%) of the engineering industry and the employment inducement coefficient (14 employees per billion won) are three times higher than in manufacturing. In particular,the forward value chain (such as project management and basic design) accounts for less than 10~15% of the total project cost but determines the overall price and quality of the infrastructure facilities. In this study, a work break-down system, design support module and database development method for road design projects for design platform development is presented. Based on the presented development method, a cloud-based infrastructure design platform's prototype is developed. The developed infrastructure engineering platform is expected to provide a web-based design work environment without time/space restrictions and greatly contribute to winning overseas business orders and securing competitiveness.

• Korea Journal of Hospital Management
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• v.28 no.1
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• pp.24-36
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• 2023

Purposes: The purpose of this study was to analyze the factors associated with current smoking status in Wonju-si and Chuncheon-si, and to study the cause of difference in smoking rates between these two regions. Methodology: Data was from the National Health Insurance Service database from 2019 to 2020. Current smoking status was based on the response to the health examination questionnaire. Logistic regression analysis was conducted to identify factors associated with current smoking status. The study included 207,307 individuals from Wonju-si and 173,698 individuals from Chuncheon-si. Findings: The smoking rate of Wonju-si was 19.83%, and Chuncheon-si was 18.20%, showing a difference in the smoking rates between the two regions. Logistic regression analysis found that men, those aged 40-49, being a self-employed insured, a medical-aid beneficiary, having a lower income, working in construction, transport, storage, communication, or manufacturing industries, having a high-risk drinking level and being underweight were significantly associated with a higher likelihood of smoking(p<0.05). Additionally, having a chronic disease was associated with a lower likelihood of smoking in the case of Chuncheon-si(p<0.05). Practical Implication: This study found the differences of factors associated with smoking rates between the two regions and could provide implications for establishing intervention programs or policies that could contribute to lowering the smoking rate in areas with high smoking rates.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1453-1463
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• 1997

This paper proposes service mechanism for realization of Multimedia-On-demand(MOD) and implementation of a real-time MOD service through the interface of WWW environment with ATM at its backbone. As part of this proposal, we have adopted the naive ATM interface and the CM transport module, and have then implemented a WWW-based Multimedia-On-Demand. In this thesis, we have proposed WWW-based user interface using Java. CGI internet programming method. And we have implemented service mechanism through integration of Database with WWW.

• Journal of Korean Society of Rural Planning
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• v.23 no.2
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• pp.43-54
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• 2017

When an age of low growth and population decline, population migration plays an important role in spatial structure of region. There have been many researches on migration and regional spatial structure. The purpose of this study is to examine the changes of Gwangju and Jeonnam region's spatial structure and central area using social network analysis methods. For analysis it was used that population and migration data and passenger OD(Origin and Destination) travel data released by Statistics Korea and Korea Transport Database(KTDB). Using Gephi 0.8.2, migration and passenger OD networks were visualized, and this describe network flow and density. The results of the network centrality analysis show that the most populated village is not always network center though population mass is an important factor of central places. The average eigenvector centrality of 2010 migration is the lowest during 2005-2015, and it means few regions have high centralities. When comparing migration and travel networks, travel data is more effective than migration data in determining the central location considering spatial functions.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.253-259
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• 2013

Investment scenarios in the transportation network design problem usually contain installation or expansion of multi-mode transportation links. When one applies the mode choice analysis and traffic assignment sequentially for each investment scenario, it is possible that the travel impedance used in the mode choice analysis is different from the user equilibrium cost of the traffic assignment step. Therefore, to estimate the travel impedance and mode choice accurately, one needs to develop a combined model for the mode choice and traffic assignment. In this paper, we derive the inverse demand and the excess demand functions for the multi-mode multinomial logit mode choice function and develop a combined model for the multi-mode variable demand traffic assignment problem. Using data from the regional O/D and network data provided by the KTDB, we compared the performance of the partial linearization algorithm with the Frank-Wolfe algorithm applied to the excess demand model and with the sequential heuristic procedures.

• Journal of Soil and Groundwater Environment
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• v.24 no.2
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• pp.8-22
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• 2019

Among numerous chemicals used globally, the number of emerging contaminants is increasing. Numerical modeling for contaminant fate and transport in the subsurface is critical to evaluate environmental and health risk. In general, such models require physicochemical properties of contaminants as input values, which can be found in numerous chemical databases (DB). However, there exist lack of information specific to recently emerging contaminants, which requires estimation of physicochemical properties using regression programs. The purpose of the study is to introduce the workflow for identifying physicochemical properties of potential contaminants utilizing numerous chemical DBs, which frequently lists up potential contaminants for estimating chemical behavior. In this review paper, details of several chemical DBs such as KISChem, TOXNET, etc. and regression programs including EPI $Suite^{TM}$, ChemAxon, etc. were summarized and also benefit of using such DBs were explained. Finally, a few examples were introduced to estimate predominant phase, removal ratio, partitioning, and eco-toxicities by searching or regressing physicochemical properties.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.4
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• pp.38-47
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• 2014

Ministry of Land, Infrastructure and Transport (MOLIT) Affairs of Korean government improved RSMS to be linked with GIS data and now we have research foundation. In case of expressway and rural national highway, there is a referenced place-name for direction road sign, but there is no reference in urban road and is only a guideline. Direction signs in urban could not have consistent place-name and it is vary difficult to select the proper place-name. Based on the change of analysis environment and perception of road sign - related problem, This study is aimed to suggest how to deduce the spatial impact zone of place-name from DB and GIS in RSMS of Changwon City. The results indicated that there is a spatial difference between place-names according to whether is near or far on the road sign. It is expected that this method would be effectively used in case of new road sign and so the process to select the place-name would be simple.