• Title/Summary/Keyword: 컨테이너 수출입 물동량

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A Case Study on the Improvement of Container Transportation Systems in Busan Port (부산항 컨테이너 유통체제 개선 방안에 관한 사례 연구)

  • 허윤수;문성혁;남기찬;류동근
    • Journal of Korean Society of Transportation
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    • v.19 no.2
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    • pp.29-40
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    • 2001
  • 부산항은 우라나라의 전체 수출입 및 환적 컨테이너 물동량의 약 90%를 처리하고 있기 때문에 지금까지 꾸준한 물동량 증가 추세를 보이고 있다. 컨테이너 물동량의 증가에 따라 정부에서는 항만시설을 지속적으로 확충하여 컨테이너 처리능력을 확대하고 있으나, 컨테이너 물동량의 증가율이 컨테이너 처리시설 확보율을 초과하여 부산항 컨테이너 전용부두의 컨테이너 수용능력은 부족한 실정이다. 이와 같은 컨테이너 장치장 부족문제를 해결하기 위해서 그 동안 부산항의 ODCY에서 처리하였으나, 최근 부두밖 장치장의 단계적 이전 및 폐쇄방침이 결정됨에 따라 부산항의 장치장 부족문제가 대두되고 있는 실정이다. 따라서 본 연구에서는 장치장 부족문제를 해결하고 부산항 컨테이너 유통체제를 개선시킬 수 있는 방안을 제시하는데 목적을 두고 있다. 이를 위하여 첫째, 부산항의 컨테이너화물 유통 현황 및 문제점을 분석하고 둘째, 부산항 컨테이너화물 유통체제의 개선대안을 설정하여 분석결과를 제시한다.

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Forecasting Export & Import Container Cargoes using a Decision Tree Analysis (의사결정나무분석을 이용한 컨테이너 수출입 물동량 예측)

  • Son, Yongjung;Kim, Hyunduk
    • Journal of Korea Port Economic Association
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    • v.28 no.4
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    • pp.193-207
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    • 2012
  • The of purpose of this study is to predict export and import container volumes using a Decision Tree analysis. Factors which can influence the volume of container cargo are selected as independent variables; producer price index, consumer price index, index of export volume, index of import volume, index of industrial production, and exchange rate(won/dollar). The period of analysis is from january 2002 to December 2011 and monthly data are used. In this study, CRT(Classification and Regression Trees) algorithm is used. The main findings are summarized as followings. First, when index of export volume is larger than 152.35, monthly export volume is predicted with 858,19TEU. However, when index of export volume is between 115.90 and 152.35, monthly export volume is predicted with 716,582TEU. Second, when index of import volume is larger than 134.60, monthly import volume is predicted with 869,227TEU. However, when index of export volume is between 116.20 and 134.60, monthly import volume is predicted with 738,724TEU.

An Analysis of the Concentration Ratios and the Shift Effect of Korean Container Ports (우리나라 컨테이너항만의 집중도와 변이효과 분석)

  • Kim, Eun-Soo;Lee, Su-Young
    • Journal of Korea Port Economic Association
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    • v.32 no.1
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    • pp.135-149
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    • 2016
  • This study analyzes the concentration ratios (CR) and the shift effect in the system of Korean container ports that concern the export and import of container cargos, especially from/to 5 overseas origin/destination (O/D) regions, using the Hirshmann-Herfindahl Index (HHI) and the Shift-Share Method. The results shows that the CR has decreased during the last 20 years, from 0.86 to 0.44, mainly because cargos from/to the Far-East/South-East Asian regions have become more dispersed to several domestic container ports, especially from the Port of Busan. This study also indicates that there has been little change in the CR for all cargos, like the value of -0.3%, in the last 5 years. However the change in CRs for the cargos from/to the North America and Europe is positive, with the value of 7.6% and 6.6%, respectively. It can be inferred that the future development of medium- and small-sized container ports in Korea is not very likely. The study also suggests that the CR and the shift effect of the Korean container ports for the cargos by the domestic O/D regions should be analyzed in the future to suggest policy implications in great detail.

수출입 컨테이너화물 통합데이터베이스 구축

  • 최형림;김현수;박남규;박영재;김성훈;이현철
    • Proceedings of the CALSEC Conference
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    • 1999.11a
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    • pp.408-416
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    • 1999
  • 우리 나라의 수출입은 대부분 항만을 통해서 이루어지고 있으나 수출입 전체적인 흐름에서의 정보교환이 원활히 이루어지고 있지 않아 육상물류와 해상물류와의 정보흐름이 단절되어 육상물류부문에서 생겨나는 원천정보를 활용할 수 없다. 또한 각 선사를 비롯한 해운대리점과 관련업계, 그리고 정부기관들이 독자적인 데이터베이스를 보유하고 있어 정보의 중복성, 불일치성 등이 문제점으로 지적되고 있다. 그리고 물류망의 경우 망업자라는 한계와 독자적인 데이터베이스를 보유하지 못함으로써 항만관련업자나 기관들에 보다 유익한 정보를 제공 하지 못하고 있다. 이에 본 논문에서는 우리 나라의 수출입 물동량 중 가장 비중이 높은 컨테이너 화물을 대상으로 수출입 컨테이너화물의 모든 정보를 원천지에서부터 입수하여 이를 통합 관리하여 저장함으로써 육상과 해상의 정보흐름을 유연하게 연계시킴은 물론 데이터의 불일치, 중복성 등과 같은 문제를 해결하고자 하였다. 본 연구에서 구축 된 통합데이터베이스 시스템은 컨테이너화물의 수출입과정에서 발생하는 모든 정보를 활용할 수 있도록 이들을 거시적인 관점에서 구조화하였으며, 또한 수출입상의 EDI 업무를 지원하기 위해 통합데이터베이스의 데이터와 코드를 설계하였다. 마지막으로 이러한 정보를 실시간으로 제공하고 사용자의 접근성을 높임과 동시에 사용자에게 비용의 부담을 줄일 수 있도록 웹을 기반으로 하여 모든 정보의 입력과 조회 및 정보의 교환이 가능하도록 하였다.

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수출입 컨테이너화물 통합데이터베이스 구축

  • 최형림;김현수;박남규;박영재;김성훈;이현철
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1999.10a
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    • pp.207-215
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    • 1999
  • 우리 나라의 수출입은 대부분 항만을 통해서 이루어지고 있으나 수출입 전체적인 흐름에서의 정보교환이 원활이 이루어지고 있지 않아 육상물류와 해상물류와의 정보흐름이 단절되어 육상물류에서 생겨나는 원천정보를 활용할 수 없다. 또한 각 선사를 비롯한 해운대리점과 관련업계, 그리고 정부기관들이 독자적인 데이터베이스를 보유하고 있어 정보의 중복성, 불일치성 등이 문제점으로 지적되고 있다. 그리고 물류망의 경우 망업자라는 한계와 독자적인 데이터베이스를 보유하지 못함으로써 항만관련업자나 기관들에 보다 유익한 정보를 제공하지 못하고 있다. 이에 본 논문에서는 우리 나라의 수출입 물동량 중 가장 비중이 높은 컨테이너 화물을 대상으로 수출입 컨테이너화물의 모든 정보를 원천지에서부터 입수하여 이를 통합 관리하여 저장함으로써 육상과 해상의 정보흐름을 유연하게 연계시킴은 물론 데이터의 불일치. 중복성 등과 같은 문제를 해결하고자 하였다. 본 연구에서 구축된 통합데이터베이스 시스템은 컨테이너화물의 수출입과정에서 발생하는 모든 정보를 활용할 수 있도록 이들을 거시적인 관점에서 구조화하였으며, 또한 수출입상의 EDI 업무를 지원하기 D NL해 통합 데이터베이스의 데이터와 코드를 설계하였다. 마지막으로 이러한 정보를 실시간제공하고 사용자의 접근성을 높임과 동시에 사용자에게 비용의 부담을 줄일 수 있돌고 웹을 기반으로 하여 모든 정보의 입력과 조회 및 정보의 교환이 가능하도록 하였다.

A Study on the Revitalization of Railway freight transportation Through forecasting of container volumes on Busan New & North port (신항과 북항의 철도물동량 예측에 따른 철도운송 활성화 방안에 관한 연구)

  • Cho, Sam-Hyun
    • Journal of Korea Port Economic Association
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    • v.25 no.4
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    • pp.131-146
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    • 2009
  • The purpose of this study is to predict the railway cargo volume on Busan new-port and north-port, in order to revitalize railway transport. This paper is organized as follows. Section 1 presents the description of the objective and methods on this study. Section 2 presents the status of Railway Cargo volumes and Construction plan of railway facilities in Busan New port. Section 3 presents the Forecast Railway Cargo volume using a volume ratio, actual volume records and another predicted datas. Section 4 summarizes our conclusions and further research topics. Especially, korea faces enforcement of green Logistics policy. Modal shift to trail freight transportation is one of ways, but there are no more detail plans. so it need that a cooperation system in government department, a indirect subside policy shift to rail freight transportation from trucking for revitalization of Railway Freight transportation.

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A study on strategies to attract container cargoes in Incheon - with the case of container O/D analysis - (인천항 컨테이너 화물 유치방안에 대한 연구 -컨테이너 OD분석을 중심으로-)

  • Chung Tae-Won;Choi Sae-Kyung
    • Journal of Navigation and Port Research
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    • v.30 no.6 s.112
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    • pp.471-481
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    • 2006
  • This paper aims to provide strategies to attract container cargoes for the Incheon port by analysing O/D of the container cargoes with the year-2004 export and import data from. The Korean customs service. O/D analysis was carried out with establishing optimal zones, which are defined as City, Gun, Gu(Korean administrative districts) to which the export-import service can be provided from a certain port with minimized freight(or transport) cost and stevedoring fee. For the Incheon port, 35 administrative districts including Seoul and Incheon in Kyunggi-Do and Kangwon-Do are recognized as the optimal zones, and approximately 25.50% of around 2.02-million-TEU per year of the cargoes from the zones are exported and imported through the port. The strategies to attract container cargoes was suggested by comparing the Incheon port to supposed-competitive ports. The Busan port(64.89%), Guangyang port(4.46%) and Pyeongtaeck port(3.35%) are supposed as the competitive ports which have a large proportion of handling the cargoes from the optimal zones. When comparing the Incheon port to these ports. The Incheon port requires a distinctive cost strategy, providing incentives to attract shipping companies and cargoes, improving efficiency related to loading-unloading at the port, and reinforcing Feeder-Network and advertisements about cost-saving to the shippers(the owners of goods) in the national capital region Consequently, the mentioned requirements are suggested as the strategies to attract cargoes for the Incheon port.

A study on strategies to attract container cargoes in Incheon - with the case of container O/D analysis ­ (인천항 컨테이너 화물 유치방안에 대한 연구 -컨테이너 OD분석을 중심으로-)

  • Chung Tae-Won;Choi Sae-Kyung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2006.06b
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    • pp.289-299
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    • 2006
  • This paper aims to provide strategies to attract container cargoes for the Incheon port by analysing O/D of the container cargoes with the year-2004 export and import data from. The Korean customs service. O/D analysis was carried out with establishing optimal zones, which are defined as City, Gun, Gu(Korean administrative districts) to which the export-import service can be provided from a certain port with minimized freight(or transport) cost and stevedoring fee. For the Incheon port, 35 administrative districts including Seoul and Incheon in Kyunggi-Do and Kangwon-Do are recognized as the optimal zones, and approximately 25.50% of around 2.02-million-TEU per year of the cargoes from the woes are exported and imported through the pan. The strategies to attract container cargoes was suggested by comparing the Incheon port to supposed-competitive pons. The Busan portn(64.89%), Guangyang port(4.46%) and Pyeongtaeck port(3.35%) are supposed as the competitive pons which have a large proportion of handling the cargoes from the optimal zones. When comparing the Incheon port to these ports, The Incheon pan requires a distinctive cost strategy, providing incentives to attract shipping companies and cargoes, improving efficiency related to loading-unloading at the port, and reinforcing Feeder-Network and advertisements about cost-saving to the shippers(the owners of goods) in the national capital region. Consequently, the mentioned requirements are suggested as the strategies to attract cargoes for the Incheon port.

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Study on the Forecasting and Relationship of Busan Cargo by ARIMA and VAR·VEC (ARIMA와 VAR·VEC 모형에 의한 부산항 물동량 예측과 관련성연구)

  • Lee, Sung-Yhun;Ahn, Ki-Myung
    • Journal of Navigation and Port Research
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    • v.44 no.1
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    • pp.44-52
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    • 2020
  • More accurate forecasting of port cargo in the global long-term recession is critical for the implementation of port policy. In this study, the Busan Port container volume (export cargo and transshipment cargo) was estimated using the Vector Autoregressive (VAR) model and the vector error correction (VEC) model considering the causal relationship between the economic scale (GDP) of Korea, China, and the U.S. as well as ARIMA, a single volume model. The measurement data was the monthly volume of container shipments at the Busan port J anuary 2014-August 2019. According to the analysis, the time series of import and export volume was estimated by VAR because it was relatively stable, and transshipment cargo was non-stationary, but it has cointegration relationship (long-term equilibrium) with economic scale, interest rate, and economic fluctuation, so estimated by the VEC model. The estimation results show that ARIMA is superior in the stationary time-series data (local cargo) and transshipment cargo with a trend are more predictable in estimating by the multivariate model, the VEC model. Import-export cargo, in particular, is closely related to the size of our country's economy, and transshipment cargo is closely related to the size of the Chinese and American economies. It also suggests a strategy to increase transshipment cargo as the size of China's economy appears to be closer than that of the U.S.