• Journal of Korea Port Economic Association
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• v.23 no.2
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• pp.87-107
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• 2007

A rapid growth of interregional trade between China and Korea requires new development and expansion of ports. Currently, there is no rail-ferry system between China and Korea, however, a rapid growth of car-ferry industry shows possibilities. Several candidate cities and regions in East part of China and West part of Korea are selected. We identified times in clearance and station-to-station services as major benefits. We compared three transport modes including candidate cities and regions: container ships, car-ferry and rail-ferry. We used AHP (Analytic Hierarchy Process) as an evaluation method to select most competitive rail-ferry routes between two countries. We also used 7-point Likert scales to find out bottlenecks and factors to introduce rail-ferry services as other questionnaires. As a result, Rail Ferry System(RFS) is a little expensive due to wagon loading efficiency in cargo hold of the ship compared to Car Ferry System or Liner Shipping System. But RFS is recommendable in case of Block Train transport between Korea and EU area by may of TCR and TSR comparing Car Ferry System, because it can reduce total transport cost and connecting procedure at border lines of passing countries.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.62-77
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• 2024

In the maritime shipping industry, imbalance between supply and demand has persistently increased, leading to the utilization of blank sailings by major shipping companies worldwide as a key means of flexibly adjusting vessel capacity in response to shipping market conditions. Traditionally, blank sailings have been frequently implemented around the Chinese New Year period. However, due to unique circumstances such as the global pandemic starting in 2020 and trade tensions between the United States and China, shipping companies have recently conducted larger-scale blank sailings compared to the past. As blank sailings directly impact freight transport delays, they can have negative repercussions from perspectives of both businesses and consumers. Therefore, this study employed Poisson regression models and negative binomial regression models to analyze the influence of maritime freight rate determinants on shipping companies' decisions regarding blank sailings, aiming to proactively address potential consequences. Results of the analysis indicated that, in Poisson regression analysis for 2M, significant variables included global container shipping volume, container vessel capacity, container ship scrapping volume, container ship newbuilding index, and OECD inflation. In negative binomial regression analysis, ocean alliance showed significance with global container shipping volume and container ship order volume, the alliance with container ship capacity and interest rates, non-alliance with international oil prices, global supply chain pressure index, container ship capacity, OECD inflation, and total alliance with container ship capacity and interest rates.

• Journal of Korea Port Economic Association
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• v.31 no.1
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• pp.15-36
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• 2015

The purpose of this paper is "A Study on the Establishment of Distribution and Logistics System in the unified Korea". The main conclusion of this paper are as follows : North and South Korea shall conjunctionally foster the exchange and cooperation area and operate the joint pilot project to combine distribution and logistics system. To solve the problems of the maritime affairs, Fisheries, and international logistics, the cooperative agreement between North and South Korea will be needed to protect and develop of shipping, aviation and shipbuilding industry. Unification of two Koreas must be prepared as stage by stage ; ${\cdot}$Stage1(preparation period) : initiation of peace area. ${\cdot}$Stage2(development period) : forming the exchange and cooperation area ${\cdot}$Stage3(settlement period) : establishing peace belt on border area. After the unification, two Koreas must plan and undertake the construction of the distribution and logistics infrastructures, establishment of SCM system through Network and the connection to China through railway and road Network.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.5
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• pp.780-790
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• 2022

Quantitative risk levels must be presented by analyzing the causes and consequences of accidents and predicting the occurrence patterns of the accidents. For the analysis of marine accidents related to vessel traffic, research on the traffic such as collision risk analysis and navigational path finding has been mainly conducted. The analysis of the occurrence pattern of marine accidents has been presented according to the traditional statistical analysis. This study intends to present a marine accident prediction model using the statistics on marine accidents related to vessel traffic. Statistical data from 1998 to 2021, which can be accumulated by month and hourly data among the Korean domestic marine accidents, were converted into structured time series data. The predictive model was built using a long short-term memory network, which is a representative artificial intelligence model. As a result of verifying the performance of the proposed model through the validation data, the RMSEs were noted to be 52.5471 and 126.5893 in the initial neural network model, and as a result of the updated model with observed datasets, the RMSEs were improved to 31.3680 and 36.3967, respectively. Based on the proposed model, the occurrence pattern of marine accidents could be predicted by learning the features of various marine accidents. In further research, a quantitative presentation of the risk of marine accidents and the development of region-based hazard maps are required.

• Journal of Navigation and Port Research
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• v.31 no.3 s.119
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• pp.187-195
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• 2007

China has been the hub of business in Asia' and has developed infra-system and development policy on harbor and logistics. Investment on development of Sanghai port and fang river has been increasing. This development has put importance on logistics in East Asia Additionally, port surrounding of China has been activated Therefore, This paper is going to suggest three measures. First, shipping corporation of Korea will provide different services and network according to the growth of China logistics. Secondly, Korea is to invest with Chinese companies around fang river to freight service industry. Thirdly, it is to construct Yellow sea Rim transport network by Sanghai port and fang river development.

• Journal of Navigation and Port Research
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• v.36 no.1
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• pp.69-74
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• 2012

Recent global supply chain, improving the efficiency of container shipping process is very important. In the overseas shipping of goods, the voyage of super containership is common to overcome amount of increasing cargo. Thus, container terminal managers make an experiment on the double cycle and dual cycle operation, which ship loading and unloading were carried out simultaneously, for maximizing the productivity of quay side. Yard Tractors(YTs) pooling methods also are introduced for increasing the efficiency of assignment of YTs. In this paper, we analyzed the efficiency of dual cycling through comparing existing pooling methods with the modified method for the dual cycling. We developed a simulation model using simulation analysis software, Arena. The result of experiment shown that the more dual cycling don't always increase the gross crane rate(GCR), which means productivity of quay cranes(QCs) per hour.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.13-21
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• 2021

The purpose of this study is to develop the ship valuation model by utilizing the neural network model. The target of the valuation was secondhand VLCC. The variables were set as major factors inducing changes in the value of ship through prior research, and the corresponding data were collected on a monthly basis from January 2000 to August 2020. To determine the stability of subsequent variables, a multi-collinearity test was carried out and finally the research structure was designed by selecting six independent variables and one dependent variable. Based on this structure, a total of nine simulation models were designed using linear regression, neural network regression, and random forest algorithm. In addition, the accuracy of the evaluation results are improved through comparative verification between each model. As a result of the evaluation, it was found that the most accurate when the neural network regression model, which consist of a hidden layer composed of two layers, was simulated through comparison with actual VLCC values. The possible implications of this study first, creative research in terms of applying neural network model to ship valuation; this deviates from the existing formalized evaluation techniques. Second, the objectivity of research results was enhanced from a dynamic perspective by analyzing and predicting the factors of changes in the shipping. market.