• 사료
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• s.34
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• pp.53-58
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• 2008

• 사료
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• s.35
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• pp.69-72
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• 2008

• Journal of Navigation and Port Research
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• v.33 no.6
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• pp.409-414
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• 2009

As Korea has the economic structure heavily depending on exporting commodities, the importance of both maritime and air transportation mode is significant. Accordingly, for the sustainable and stable export the freight transportation market by mode needs to be developed complementarity each other. This paper, therefore, aims at analysing the LCL commodities transported by the two mode in terms of unit price, freight charge bearability and price structure. For this around 500 bill of lading(B/L) are collected and analysed resulting in deriving the distinctive characteristics of commodities by mode and the implication for price policy.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.329-330
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• 2021

벌크화물운송은 해상운송시장에서 가장 큰 규모이고 철강 및 에너지 산업을 뒷받침 하는 중요한 시장이다. 또한 운임의 변동성이 가장 큰 시장으로 상당한 수익을 기대할 수 있는 반면에 파산에 이르는 큰 손실이 발생할 수 있기때문에 시장 참여자들은 합리적이고 과학적인 예측을 기반하여 의사결정을 해야 한다. 그러나 해운시장에서는 과학적 의사결정보다는 경험기반의 의사결정에 의존하기 때문에 시황변동성에 취약하다. 본 논문은 벌크운임예측에 신호 분해 방법인 EMD와 인공신경망을 결합한 하이브리드 모델을 적용하여 과학적 예측방법을 제시하고자 한다. 본 논문은 학문적으로 해운시장 운임예측연구에서 거의 시도되지 않았던 시계열분해법과 기계학습기법을 결합한 하이브리드 모델을 제시하였다는데 의미가 있으며 실무적으로는 해운시장에서 빈번이 일어나는 의사결정의 질이 제고되는데 기여할 것으로 기대된다.

• Korea Trade Review
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• v.48 no.2
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• pp.27-43
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• 2023

The maritime industry is playing an increasingly vital part in global economic expansion. Specifically, the Baltic Dry Index is highly correlated with global commodity prices. Hence, the importance of BDI prediction research increases. But, since the global situation has become more volatile, it has become methodologically more difficult to predict the BDI accurately. This paper proposes an integrated machine-learning strategy for accurately forecasting BDI trends. This study combines the benefits of a convolutional neural network (CNN) and long short-term memory neural network (LSTM) for research on prediction. We collected daily BDI data for over 27 years for model fitting. The research findings indicate that CNN successfully extracts BDI data features. On this basis, LSTM predicts BDI accurately. Model R2 attains 94.7 percent. Our research offers a novel, machine-learning-integrated approach to the field of shipping economic indicators research. In addition, this study provides a foundation for risk management decision-making in the fields of shipping institutions and financial investment.

• Journal of Navigation and Port Research
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• v.37 no.6
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• pp.581-586
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• 2013

The sea traffic volume in Southwest sea including Wando area have increased every year. However the improvement of the facilities for convenience and safety in port and sea was not enough to meet the increasing demand of traffic and passengers' need. This study dealt with the situations and status of passenger ship traffic system in Wando area. In addition to, questionnaire survey of passenger ship user in Wando area was carried out in order to research the improvement of marine traffic system. On the basis of the result, navigation risks in the area was analysed. The institutional system such as passenger ship fare, enhanced traffic system that can improve marine traffic environment in the area were suggested and examined. The urgent issue was the scattered fishing ground near fairway which makes narrow passage and can cause risky passeger ship's navigation. In the side of passeger ship's operation, the wage of cargo handling was relatively expensive that needed to be improved.

• Journal of Navigation and Port Research
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• v.37 no.6
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• pp.681-687
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• 2013

Free Trade Agreement(FTA) aims at abolishing tariffs on trade among nations or regions resulting in having a significant impact on maritime transportation and port. Korea made the first FTA with Chile in 2004 and the trade volume between two countries has seen significant increase. The literature on such impact, however, seems to be very limited. The main purpose of this study is, therefore, to analyze the impact of Korea-Chile Free Trade Agreement on the imported container throughput from Chile at the Busan Port. For this both cross-sectional and time series data are collected that comprise container throughput, Gross Domestic Product (GDP), import tariff, and maritime freight rate, from 2000 to 2011, and the gravity model is applied. The main result of the study shows that the dependent variables, GDP and import tariff are statistically significant, but the maritime freight rate is not consistent with regarding to statistical significance and parameter sign.

• Korea Trade Review
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• v.42 no.6
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• pp.131-154
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• 2017

In international trade, transportation generally has the largest and direct impact on freight costs. However, it is also sensitive to external factors such as global economic conditions, global trade volume and exchange rate. Therefore, it is necessary to examine the relationship and influence of international trade in terms of external factors that affect the change of imports and exports by marine and air transportation through empirical analysis. In particular, the analysis of the impact of these external factors on marine and air transportation is an important topic when recent exchange rate changes are significant, and it is also necessary to analyze what transportation means are more sensitive to exchange rate changes. In this study, we use the Vector Error Correction Model to analyze the dynamic effects of changes in exchange rate and domestic and international economic conditions on marine and air transportation from January 2000 to March 2017. Respectively. Alos, Impulse response function and variance decomposition were examined.

• Journal of Korea Port Economic Association
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• v.23 no.2
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• pp.25-40
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• 2007

The sea/air intermodal transport is a time-saving and cost-saving transport for cargo shipments. In reaction to a recent growth of high value-added products in China, the volume of sea/air intermodal transport in Korean airport has been increasing continuously. This paper treats the situation, the system, and the possibility of sea/air intermodal transport, which are emerging as an alternative to solve the logistics problem related to the increase of international air cargo demand in China. Also, several strategies are considered to develope Korea into intermodal transport hub including the value added logistics activity which will secure the demand of sea/air intermodal transport.

• Journal of Distribution Research
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• v.4 no.3
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• pp.1-22
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• 2000

Many foreign freight forwarders make inroads into domestic markets. Korean freight forwarders are not competitive on th domestic logistics area because of higher customer services by foreign freight forwarders in Korea. The purpose of this research is to analyze degree of satisfaction on customer services attributes of freight forwarders in Korea, and to strengthen the competitiveness of customer services by Korea freight forwarders in contrast to foreign investment freight forwarders in Korea. The results of the research could be summarized as follows.: When freight forwarders are selected, the most important customer service attributes have been ranked in order with 'the accuracy management of shipping order' , the reasonable offers of freight rate' and 'the quick arrangement of vessels' when freight forwarders are selected.