• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.70-71
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• 2017

현재 국내 대도시권은 도시의 외연적 확장과 도로 중심의 교통물류체계 및 통행패턴으로 인하여 도로운송 시스템은 이미 포화상태에 도달하여 교통 혼잡으로 인한 물류비용의 증가, 도로 시설 유지보수 비용 증가 등 사회 경제적 비용 부담이 가중되고 있다. 화물운송시스템도 도로운송에 의존하고 있어 이산화탄소의 배출량이 많아 대기오염의 주된 요인으로 작용하며, 야간 운송에 따른 소음 유발, 교통사고 발생, 도로파손 등 사회문제를 야기하고 $\cdots$(중략)$\cdots$.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.128-130
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• 2014

우리나라 연안해역에는 약 11개의 주요 해상교통흐름이 존재하고 있다. 또한 세계 5위의 컨테이너 처리항만이 있으며 삼면이 바다로 둘러싸여 있어 항행선박의 통항이 빈번하고, 선박통항의 교차지점이 다수 발생하여 해양사고 발생 잠재성이 상존하고 있다. 이러한 해역에서 속력 및 기관성능시험 등을 수행하는 6천톤 이상의 시운전선박의 통항패턴은 예상하기가 쉽지 않고 일반적인 교통흐름과 상이하여 타선박의 오인 야기로 충돌위험이 잠재되어 있다. 이러한 중대형 시운전선박이 우리나라에서 어느 정도 존재하고 있는지에 대한 운항 현황을 살펴보고, 이러한 운항시 안전을 저해하는 위험요소를 설문조사를 기반으로 하여 분석 시운전 선박의 안전운항을 위한 기초연구로 하고자 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.55-65
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• 2021

In January 2020, the first COVID-19 confirmed patient occurred in Korea, and the pandemic continues to this day. In unprecedented situations, COVID-19 also affected the transportation sector, and there were no appropriate measures against changes in traffic volume and use of public transportation due to changes in citizens' lifestyles. Currently, each local government has not established separate measures for pandemic disease measures. In order to establish future disease countermeasures in the transportation sector, a predictive model was developed by analyzing the traffic volume and the number of public transportation uses, and conducting correlation analysis with the current status of COVID-19. As a result of the analysis, the traffic volume decreased, but the traffic volume decreased due to the increase in personal transportation, but it did not reach the number of public transportation uses. In addition, it was analyzed that the use of public transportation was initially affected by the number of confirmed cases, but over time, it was more sensitive to death and mortality than to the number of confirmed cases.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.503-514
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• 2015

This study aims to analyze the relationship between transport infrastructure investment and rural development in Korea in a more systematic and empirical way. To do so, we formulate research framework to examine the multi-faceted relationship through extensive literature review and carry out a descriptive study on the spatial patterns of road investment and rural development in Korea. Finally, using the structural equation model, this study carries out the exploratory empirical analysis on the direct and indirect relationship between transport infrastructure investment and rural development. The study finds that the transport infrastructure investment in rural Korea impacts clearly on both the population base promotion and production and income growth through better accessibility. In addition, the investment has an indirect effects on the production and income growth through its influence on the population base promotion. This implies that the transport infrastructure investment in rural Korea so far exerts both long-term and short-term influences on rural development through various channels of impacts.

• Journal of Korean Society of Transportation
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• v.34 no.5
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• pp.476-488
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• 2016

This study reviewed factors and causes that affect on reliability and accuracy of transportation demand forecasting. In general, the causes of forecasting errors come from variety and irregularity of trip behaviors, data limitation, data aggregation and model simplification. Theoretical understanding about the inevitable errors will be helpful for reasonable decision making for practical transportation policies. The study especially focused on traffic assignment with the KTDB data, and described the factors and causes of errors by classifying six categories such as (1) errors in input data, (2) errors due to spacial aggregation and representation method of network, (3) errors from representing values for variations of traffic patterns, (4) errors from simplification of traffic flow model, and (5) errors from aggregation of route choice behavior.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.51-62
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• 2008

An innovative feature of this study is to propose a methodology for evaluating safety performance in real time based on vehicle trajectory data extracted from video images. The essence of evaluating safety performance is to capture unsafe car-following and lane-changing events generated by individual vehicles traveling within video surveillance area. The proposed methodology derived three indices including real-time safety index(RSI) based on the concept of safe stopping distance, time-to-collision(TTC), and the collision energy based on the conservation of momentum. It is believed that outcomes would be greatly utilized in developing a new generation of video images processing(VIP) based traffic detection systems capable of producing safety performance measurements. Relevant technical challenges for such detection systems are also discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.60-69
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• 2012

Public Transport Information Service which use smartphone Apps has received attention as the way of solution that reduced transport problem. Smartphone can offer real-time information because of a LBS(Location Based Service) system. This study try to find out which factor affect mode choice ratio of public transport, especially smartphone Apps. The result shows that rising oil price, traffic congestion, public information service with smartphone apps, BIS(Bus Information System) factors get 0.39, 0.27, 0.18, 0.16 scores with paired comparison. Younger and student respondents prefer smart phone public information service. Decision Tree shows that the most important decision factor is smartphone information service factor.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.2
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• pp.100-109
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• 2022

Large-scale urban concentration of population and vehicles due to economic growth in Korea has been causing serious urban transport problems. Although the collection of congestion pricing has been evaluated as the most effective transportation policy to alleviate traffic demand, its effectiveness is very limited as it was just executed around congested points or along main arterial roads. This study derived dynamic congestion zones with the average travel speed of 206 traffic analysis zones in Busan Metropolitan City to propose a dynamic congestion pricing collection system by employing Space-Time Cube Analysis and Emerging Hot Spot Analysis. As a result, dynamic hot spots were formed from 7h to 24h and particularly, traffic congestion was severely deteriorated from 18h to 20h around Seomyeon and Gwangbok-dong. Therefore, it is expected that the effect of dynamic congestion pricing will be maximized in managing traffic demand in the city center.

• Proceedings of the Materials Research Society of Korea Conference
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• 2009.05a
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• pp.27.2-27.2
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• 2009

현재 질화물 계 발광다이오드는 액정소자의 백라이트유닛, 모바일폰, 차량용램프, 교통신호등 등 다양한 장치의 광원으로 사용되고 있으며, 그 응용분야는 앞으로도 크게 확대되는 추세에 있다. 이는 발광다이오드의 저전력, 장수명, 친환경적인 장점에 의한 것으로, 일반 조명용 광원으로 사용하기 위한 기술개발이 활발히 진행 중이다. 하지만 질화물 계 발광다이오드를 미래의 조명용 광원으로 사용하기 위해서는 광출력이 보다 향상되어야 한다. 발광다이오드의 광출력을 저하시키는 요인으로는 다양한 문제점이 있지만 특히 낮은 광추출특성으로인한 광출력저하 문제를 해결해야 한다. 본 연구에서는 질화물 계 발광다이오드의 광추출특성을 향상시키기 위해서 나노임프린트 리소그래피 공정을 도입하였다. UV 나노임프린트 리소그래피 공정을 통해서 p형 질화갈륨 및 인듐주석산화물 투명전극 층에 sub-micron 급 광결정패턴을 형성하였으며, 광루미네선스와 전기루미네선스 측정을 통하여 광결정패턴으로 인한 광출력 특성을 분석하였다.

• Journal of the Korean Society for Railway
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• v.11 no.4
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• pp.417-423
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• 2008

Transportation planners are increasingly adopting policies aimed at changing travel choices made by general commuter. Theories on the relationship between high-speed technology and transport address changes in travel behavior of regional commuter due to alterations in the Kyung-Bu railroad transportation corridor. The purpose of this paper is to examine the relationships between travel behavior and high-speed technology. The KORAIL data allows us to explore the differences between travel characteristics that are usually hard to discern by guesswork. The effects of travel time were found to be significant in the full decisions that control for commuting KTX. Although many argue that transportation behavior cannot be changed, this paper demonstrates that about 4 years of behavioral data on KTX travel show otherwise. In this paper we explore several possibilities to fill in some of the gaps in our knowledge on the expansion of commuter belt.