• Journal of Korean Institute of Industrial Engineers
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• v.37 no.4
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• pp.297-303
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• 2011

Major ports in Northeastern Asia engage in fierce competition to attract transshipment traffic volume. Existing time series analyses for analyzing port competition relationships examine the types of competition and relations through the signs of coefficients in cointegration equations using the transshipment traffic volume results. However, there are cases for which analyzing competing relationships is not possible based on the results of the transshipment traffic volume data differences and limitations in the forecasting of traffic volume. Accordingly, we used the Lotka-Volterra (L-V) model,also known as the ecosystem competitive relation model, to analyze port competition relations for the long-term forecast of South Korean transshipment traffic volume.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.62-70
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• 2007

Recently, the increasing trend for the transshipment traffic of Busan port in Korea is slowing down because of the extensive development plan of domestic ports in china. For solving this problem, Korea is going on the project for preoccupying the transshipment port for attraction of port traffic from the newly potential markets(NPM) based on the Northeast Asia area. As a part of the project, this paper proposes the efficient methodology for selecting the optimal shipping network and strategic transshipment port within NPM using the mathematical models and simulation analysis. For that, we firstly find the alternative transshipment ports within NPM through the status analysis of the current port traffic and shipping network and then, we choose the candidate transshipment-ports in order of minimizing the transport costs through the mathematical approach. With the scenarios based on the selected transshipment-ports, we perform the simulation analysis for choosing the optimal transshipment-ports and the shipping network minimizing the total costs and times concurrently. We expect that the results of this paper will be used efficiently when korea select the strategic transshipment-port in the future.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.165-185
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• 2011

Transshipment traffic has significant meanings because it gives positive effects on increasing the container handling volumes in seaports, and revitalizes the regional and national development. Korean container port's transshipment traffic volumes, however, will slowly decrease due to the direct ships' calling into Chinese ports, which recently has a huge development plan. There are a lot of stress on forecasting the transshipment traffic volumes because the Korean container port development plans are designed based on this container traffic which consists of import and export traffic, and transshipment traffic. The transshipment traffic volumes are assumed to occupy 40% of total container traffic volumes. Despite of the importance of forecasting the transshipment traffic, a little studies are suggested using the concepts of the port competitiveness. In this respect, this study aims to estimate the Port Competitiveness Index and Transshipment traffic Volumes using the System Dynamics methodology. As a result, transshipment traffic volumes are predicted as: 20 million TEUs in Korea under the 4% annual increasing rates, 90 million TEUs in China under the 6% annual increasing rates, and 2.5 million TEUs in Japan under the 1% annual increasing rates respectively. The suggested results can be used to enhance the container port competitiveness and produce more transshipment traffic volumes.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.183-194
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• 2011

Countries in the world make a strategic effort to develop their own ports into hub ports and lure transshipment cargoes. Likewise, the Busan Port tries to become a container hub port in Northeast Asia, but there is lately a gradual decline in the number of transshipment cargoes. The purpose of this study was to examine the influential factors of port transshipment traffic in an effort to identify the determinants of transshipments in the Busan Port. In existing studies, harbor infrastructure, maritime transshipment cost, port cost and port service were primarily presented as the determinants of transshipment traffic after surveys were conducted by experts. In this study, the transshipment traffic in the Busan Port was selected as a dependent variable, and the container traffic and transshipment traffic of ports in adjacent countries and each country's amount of trade and economic growth rate were selected as explanatory variables to analyze what factors determined the transshipment traffic in the port.

• Journal of Korea Multimedia Society
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• v.17 no.12
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• pp.1503-1510
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• 2014

This study will examine the consolidation that is occurring in the shipping industry and its effects on Busan's status as a key transshipment hub in Southeast Asia as well as what measures the port must implement to attract transshipment traffic. With this in mind heading forward, trends in transshipment cargo, problems facing the port, as well as the current status of transshipment volumes at the Port of Busan must be fully understood so that thorough research can be done into appropriate measures to stimulate growth and attract cargo traffic. In this study, We analyze the current problems and status of transshipment cargo at Busan Port and factors affecting the competitiveness of transshipment cargo at Busan New Port, Korea's key import/export gateway, have been examined. We show the Strategies to Attract Transshipment Cargo at the Busan New Port which is to become a an optimal transshipment port, a port's internal environment including the scale and location of its hinterland, facilities and tariffs as well as the external environment including global networks and logistics IT management must be carefully considered as they are all key actors affecting cargo volumes.

• Journal of Korea Port Economic Association
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• v.22 no.3
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• pp.79-96
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• 2006

In this paper, using the gravity model, I examined that the port traffic in the port of Pusan have been influenced by GDP of South Korea, GDP of trading countries, an agreement on maritime transport, maritime transport charge and the local economic integration, etc. In view of the policy implication based on the result of analysis by the gravity model, the port traffic and the transshipment in the port of Pusan is positively influenced by GDP of South Korea, GDP of trading countries and countries on the way of main sea route(LINE). But it is negatively influenced by maritime transport charge. Especially, when a maritime transport charge goes up 1 percentage point, it is estimated that a transshipment decreases about 0.586-0.895 percentage point. So, a maritime transport charge was found to have more effect on a transshipment than a port traffic(except transshipment).

• Journal of Navigation and Port Research
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• v.40 no.2
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• pp.57-65
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• 2016

The port throughput situation has changed since the 2008 financial crisis in the US. Therefore, we studied the situation, accurately estimating port traffic of Korean port after the 2008 financial crisis. We ensured the proper port facilities in response to changes in port traffic. In the results of regression analysis, Korean GDP and the real effective exchange rate of Korean Won were found to increase the container throughput in Korean and Busan port, as well as trade volume with China. Also, the real effective exchange rate of Korean Won was found to increase the port transshipment cargo volume. Based on the ARIMA models, we forecasted port throughput and port transshipment cargo volume for the next six years (72 months), from 2015 to 2020. As a result, port throughput of Korean and Busan ports was forecasted by increasing annual the average from about 3.5% to 3.9%, and transshipment cargo volume was forecasted by increasing the annual average about 4.5%.

• Journal of Korea Port Economic Association
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• v.21 no.4
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• pp.255-274
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• 2005

To acquire a port traffic, governments in North-East Asia have intensively invested port development. Furthermore, the major shipping company directly make a call at northern chinese ports like Qingdao, Dalian and Tianjin. Those changes of port environment will have a considerable effect on a port traffic in Korea. In order to prepare against those changes, it is necessary to estimate a port traffic in Korea A port traffic in Korea is estimated by the use of explanation variables like GDP of Korea, real effective exchange rate, world economic performances and the trade in China, et al. When GDP in Korea goes up 1%, it is estimated that container port traffic of all ports and Pusan Port is upward $1.0{\sim}1.2%$ and $0.8{\sim}0.9%$ respectively. When the trade in China goes up 1%, it is estimated that Container transshipment is upward $1.6{\sim}1.7%$ approximately.

• International Commerce and Information Review
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• v.13 no.1
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• pp.97-120
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• 2011

Purpose of this study is to define competitiveness and attribution factors of Busan port on attracting high value added business such as transshipment cargo. Research finds condition to become optimal transshipment port comprises both internal and external circumstances. As for the internal circumstance, scale and location of the distripark as well as port facilities and the rates, for the external circumstance, international network and information technology on logistics managements are providing positive effects. Optimal plans to attract transshipment cargo should include, first, development of total logistics management system from port entry to unloading, transportation, processing, loading to departure. Second, assign port as free trade zone under customs law to attract foreign investment and goods traffic through tax exemption. Third, unless it is illegal, government needs to grant substantial freedom to shift capital for the foreign investors which will lead increase in cargo traffic and foreign investment.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.59-60
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• 2018

Busan New Port has continued to expand its capacity to handle transshipment cargos exceeding 50 percent of its total volume, but it is considered inefficient because of the work scheduling based on the worker experience. In particular, depending on the transshipment task situation, which often requires an external truck, excessive congestion caused by the vehicle's delay can lead to increased logistics costs and social costs. One way to resolve this issue is to minimize the single transport of the truck and to maximize dual-cycle transport by putting the finished truck into another task. Therefore, we would like to study how to efficiently schedule transportation transshipment cargos between terminals considering dual-cycle.