• Title/Summary/Keyword: 기종점(O/D)조사

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Methodology for Estimating Highway Traffic Performance Based on Origin/Destination Traffic Volume (기종점통행량(O/D) 기반의 고속도로 통행실적 산정 방법론 연구)

  • Howon Lee;Jungyeol Hong;Yoonhyuk Choi
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.2
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    • pp.119-131
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    • 2024
  • Understanding accurate traffic performance is crucial for ensuring efficient highway operation and providing a sustainable mobility environment. On the other hand, an immediate and precise estimation of highway traffic performance faces challenges because of infrastructure and technological constraints, data processing complexities, and limitations in using integrated big data. This paper introduces a framework for estimating traffic performance by analyzing real-time data sourced from toll collection systems and dedicated short-range communications used on highways. In particular, this study addresses the data errors arising from segmented information in data, influencing the individual travel trajectories of vehicles and establishing a more reliable Origin-Destination (OD) framework. The study revealed the necessity of trip linkage for accurate estimations when consecutive segments of individual vehicle travel within the OD occur within a 20-minute window. By linking these trip ODs, the daily average highway traffic performance for South Korea was estimated to be248,624 thousand vehicle kilometers per day. This value shows an increase of approximately 458 thousand vehicle kilometers per day compared to the 248,166 thousand vehicle kilometers per day reported in the highway operations manual. This outcome highlights the potential for supplementing previously omitted traffic performance data through the methodology proposed in this study.

Forecasting Export Loaded Container Throughput of Incheon Port (인천항의 수출 적컨테이너화물 물동량 추정에 관한 연구)

  • Go, Yong-Gi;Kim, Eun-Ji;Sin, Jeong-Yong;Kim, Tae-Ho
    • Journal of Korea Port Economic Association
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    • v.24 no.3
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    • pp.57-77
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    • 2008
  • The aim of this paper is to make projection of the demand for export loaded container throughput originating at Incheon port in Korea over the period in question. Systematic analysis is used as a forecasting method instead of quantitative analysis. First of all, the method explores coincident indicators which may reflect the square measure of neighboring industrial complexes which originate/destinate general cargo in export traffic trends. It is noted that in terms of the export loaded container throughput, per unit production scale is intermediated transforming from square measure of production facilities to freight weight in Korea. Consequently, the future progress of the volume can be anticipated relying on the development schemes for developing square measure out of the total square of the industrial complexes. Thus, moving-into percentage of the industrial complexes, percentage of business categories, percentage of capacity and percentage of passing through via Incheon port are adopted and the future traffic demand is projected taking advantage of them.

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A Study on the Prospect of Attracting Container Cargos for Import and Export into Gunsan Port (군산항 유치가능 수출입 컨테이너화물 추정 연구)

  • Park, Hyoung-Chang
    • Journal of Korea Port Economic Association
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    • v.24 no.2
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    • pp.71-90
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    • 2008
  • Container cargos for import and export of Jeollabukdo are handled at Gunsan port, which just hold 6.60% of the total amount 264,120 TEU. The rest of them, reaching 94.40%, are handled at Gwangyang port(55.90%), Busan port(34.15%) and other(4.45%). Container cargos for import and export handled at Gunsan port are 31,715 TEU that hold only 0.20% of all cargos in Korea. On the other hand, container cargos for import and export handled at Shanghai and Qingdao port are 26,912 TEU which hold 80.15% of the total handling container cargos at Gunsan port. If 50% of container cargos produced in Jeollabukdo are handled at Gunsan port, the total handling container cargos will be 130,000 TEU. And if the container cargos reaching 1,947,069 TEU which are using other ports can be attracted to Gunsan port, it is expected that around 190,000 TEU will be increased in the quantity of goods. The total container cargos of Shanghai and Qingdao port not handled by the nearest ports are 383,184 TEU. If Jeollabukdo attract around 10% of those cargos into Gunsan port, about 38,000 TEU container cargos will be handled at Gunsan port.

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The Studies on various Causes of Cleanness Defects with in Raw Silk. (생사의 대중절 발생원인 구명에 관한 연구)

  • 최병희;마석일
    • Journal of Sericultural and Entomological Science
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    • no.12
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    • pp.21-36
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    • 1970
  • This studies have been carried out to 3nd various causes of cleanness defects on raw silk which has been increased since 1967 in Korea, so that this treatise may be a guide inform action to improve such a defect in future. The cocoon treatment for the proposed work was carried starting with in worst condition to find the critical limit of degrading through such a work. And various analysis have been also worked out using the annual silk testing data past a few years. The results obtained are as follows. 1. There was a great relationship between cleanness and neatness result. 2. Cleanness result is greatly influenced by mounting conditions and handling of cocoons, which brought 40 percent lower as cleanness result than standard ones in which caused minor defects, especially loops and split ends, so the bad mounting conditions and handling of fresh cocoons degraded raw silk from 4A grade to E. 3. The use of good water quality brought the difference of 1.04 percent in cleanness result rather than the use of bad one. 4. Well technical work brought the difference of 0.86 percent in cleanness result rather than poor technical work. 5, Satisfactory cocoon drying installation brought the difference of 1.97 percent in cleanness result rather than insufficient one. 6. Automatic reeling machine marked lower 1,55 percent in cleanness result than multi-end reeling machine. 7. The degrading of cleanness result from 1965 year silk to 1969 year silk marked 1.99 percent, which almost responds to the degrading rate from good to poor cocoon drying installed cleanness results. In view of this result, nowadays, insufficient cocoon drying installation may be main factor to be worse cleanness result of Korean raw silk. 8. The factors of cleanness defect in raw silk once supplied with cocoon into factory are water quality, technique evaluation, cocoon drying capacity and s: reeling machine. The relationship between cleanness result and above factors are as follows. cleanness result=neatness result+1.6-1.04(1-a)-1.97(1-b)-0.86(1-c)+1.55${\times}$d a: The successive we ratio of water quality (0\longrightarrowl) b: The successive ratio of satisfactory cocoon drying installation (0\longrightarrowl) c: The successive ratio of well technical work (0\longrightarrowl) d: 1 in case multi-end reeling machine o in case automatic reeling machine 9, It is not admitted that there is heavy relationship between cleanness occurrence and nonbreaking reel ability. That mal$.$ be sowed with silk reeling technique. 10. The bad mounting conditions caused the worse result on the cocoon quality as much as cleanness. 11. Besides mounting conditions, there may be another factors affecting on the low reel ability of cocoons in Korea.

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Supply Chain-based Freight Distribution Channel Choice Model using Distribution Channel Analysis (유통경로분석을 통한 공급사슬기반의 화물유통경로선택모형 개발)

  • Go, Yeong-Seung;Park, Dong-Ju;Kim, Chan-Seong;Kim, Hyeon-Su;Park, Min-Cheol
    • Journal of Korean Society of Transportation
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    • v.28 no.6
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    • pp.133-146
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    • 2010
  • The objective of this study is to develop a supply chain-based freight distribution channel choice model considering shippers' logistics behaviors which will be used for freight demand estimation. For this purpose, this study utilized the distribution channel data of the petrochemical and automobile industries collected by KTDB center. The distribution channel choice models for these industries were developed by including transport mode, time, cost, and shipment size. It was found that the multinomial logit model with transport cost, time and shipment size is the best, and as shipment increases, bigger transport mode is preferred. Generally direct distribution channel with small truck was preferred over the one using distribution center and/or big truck.