• Journal of Fisheries and Marine Sciences Education
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• v.26 no.1
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• pp.49-58
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• 2014

Variability factors of transship cargo in the container transportation market analysis short term factors. In the past, studies on the factor of variability in container cargo volume have focused on long term volume forecast and increase in investment and competitiveness from strategic perspectives. Unlike previous studies, this paper analyzes factors of variability in transshipment volume rapidly varying in short term and seeks measures. Since it was identified that transshipment volume depends on vessel operation cost and port volume in long term but effectively on special strategies launched by port authorities in short term, the port authority experienced rapid drop in volume should continue to observe strategies of competition ports and to make use of strategies seeking appropriate countermeasures.

• Journal of Korean Port Research
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• v.15 no.1
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• pp.19-26
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• 2001

The purpose of this study is to improve the strategies for transportation systems of container cargoes in Busan port. Therefore, container cargoes forecasting is done through logistic methods based on past trends. In 2011, container cargoes demand was forecasted 8.791 million TEU(T/S including 12.559 million TEU). In order to improve transportation systems of container cargoes, the conclusions of this study can be summarized as follows ; \circled1 port facilities expansion, \circled2 diversity of container transport modes, \circled3 make up ICD and exclusive container roads, \circled4 the second Seoul-Busan Expressway.

• Journal of Navigation and Port Research
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• v.28 no.9
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• pp.783-790
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• 2004

For a nearly decade Busan has been the pre-dominant force in Northeast Asian port community, but during the last couple of years, several competitors have looked to directly challenge Busan's regional dominance, most notably, northern Chinese ports. Faced with this challenging and formidable trend, Busan has had to respond appropriately to ensure that Busan remains a regional hub well into the 21st century. The aim of this paper is to make some considerations for a regional hub container port in Northeast Asia in response to changes in the shipping industry with particular reference to Korea.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.53-62
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• 2020

The maritime and port logistics industry is closely related to global trade and economic activity, especially for Korea, which is highly dependent on trade. As the largest port in Korea, Busan Port processes 75% of the country's container cargo; the port is therefore extremely important in terms of the country's national competitiveness. Port container cargo volume forecasts influence port development and operation strategies, and therefore require a high level of accuracy. However, due to unexpected and sudden changes in the port and maritime transportation industry, it is difficult to increase the accuracy of container volume forecasting using existing time series models. Among deep learning models, this study uses the LSTM model to enhance the accuracy of container cargo volume forecasting for Busan Port. To evaluate the model's performance, the forecasting accuracies of the SARIMA and LSTM models are compared. The findings reveal that the forecasting accuracy of the LSTM model is higher than that of the SARIMA model, confirming that the forecasted figures fully reflect the actual measurement figures.

• 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.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.155-162
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• 2003

In this paper, we investigate the selection of transport route for import-export container cargo based on the sacrifice model and environmental cost of transport route. At first, the sacrifice model, environmental cost of transport, the volumes and the transport share of import-export container cargo are investigated briefly. And next, the transport time and cost, the environmental cost which is caused by cargo transport are investigated for the transport of import-export container cargo from Busan Port to Seoul. And also we calculate the sacrifice of each route by using the sacrifice model including the environmental cost. Finally we decide the transport route of import-export container cargo by using the sacrifice of each transport route. From the research results, we confirm that the road transport share decreases and the coastal transport share increases when the environmental coast of transport is considered.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.1-17
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• 2008

In this paper the cargo transportation were forecasted for the North Port in Busan through time series models. The cargo transportation were classified into three large groups; container, oil, general cargo. The seasonal indexes of existing cargo transportation were firstly calculated, and optimum models were chosen among exponential smoothing models and ARIMA models. The monthly cargo transportation were forecasted with applying the seasonal index in annual cargo transportation expected from the models. Thus, the cargo transportation in 2011 and 2015 were forecasted about 22,900 myriad ton and 24,654 myriad ton respectively. It was estimated that container cargo volume would play the role of locomotive in the increase of the future cargo transportation. On the other hand, the oil and general cargo have little influence upon it.

• Journal of Navigation and Port Research
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• v.36 no.10
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• pp.895-904
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• 2012

Today, the competition for hub-port is getting fierce and the shipping liners have enjoyed the increased bargaining power over the terminal operators through the mergers & acquisitions (M&A) and strategic alliances. This result leads the competition among terminal operators to attract liner companies and cargoes in their terminals. In demand side, however, there is a limited container cargo volume to handle because of a steady growth of cargo traffic. While, in supply side, continuous development of port terminals increased more competition among ports or terminals for cargoes. In particular the terminal operating market of Busan port is distorted because of the cargo competition between Busan North-port and Newport. The main purpose of this study is to suggest the stabilization measures of container terminal operating market in Busan port through analysis of the terminal operation market structures and market survey analysis method. For stabilizing the container terminal market, this study suggests the improvement of the legal and institutional system such as improvement in determining and reporting system of stevedoring tariff, establishment of fair competition rules etc., the introduction of port pooling system and adoption of volume-linked terminal lease system with cargo volume ceiling system for each terminal operator.

• Journal of Navigation and Port Research
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• v.44 no.3
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• pp.235-243
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• 2020

Busan Port has a major function as the sixth largest port among the world container cargo standards and the second largest port among the world transshipment cargo standards. However, because of the lack of policy reflection on the port facility and carriers, overload control is a serious problem in freight transportation of transshipment cargo in Busan New Port and the port hinterland. In this regard, we reviewed the actual conditions of drivers, carriers, logistics managers, identified the problems, and suggest improvement plans.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.93-100
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• 2011

This dissertation analysed actuality and literatures aimed at optimizing added value of Busan Port. As far as the literatures are concerned, the limits and the direction to go of Busan Port have been reached through analysing and comparing Busan Port, Antwerp Port, and Rotterdam Port by their each function. While Rotterdam and Antwerp Port are each functioning as an integrated port disposing container freight, general freight and liquid cargo, the container of Busan port contributes over 88 percent of its cargo and the function of the others like bulk is scattered to Ulsan, Masan, and Jinjae Port. Hereby, Busan Port needs to develop its function so as not to duplicate its function with the others in Korea and add value of theirs each. As a result of the local experts about analysing actuality, it turn out that it is similar with the literatures. In macroscopic view, specialization mainly with container, general cargo disposal ability enforcement and etc. are the most important. In microscopic view, rear complex of container tier and the supply base of liquid energy.