• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.103-119
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• 2021

Ports in Korea have been increasing in terms of volume while they have performed functions and roles such as industrial ports in promoting industries of their hinterlands as well as commercial ports supporting imports and exports. Nevertheless, specialization degree is different from port to port by cargo type and the changes in cargo volume. This study aims to analyze the structural changes and the degree of concentration and specialization by cargo type and port between 2001 and 2020. Top 10 ports were analyzed in terms of traffic volume by categorizing liquid, dry, general cargo and containers. HHI(Herfindahl-Hirschman Index), LQ(Location Coefficient), and shift-share analysis were employed in order to identify the degree of concentration, specialization and changes in cargo volume by port and cargo type. As a result of the analysis, the degree of port concentration and specialization for each cargo of 4 categories have maintained a high level, and no significant difference were found in fluctuations over the past 20 years. As a result of calculating the flucation of cargo volume through the shift-share analysis, the growth rate of liquid cargo was high in Yeosu Gwangyang Port, Pyeongtaek Dangjin Port in dry cargo, and Busan Port in general cargo and container ports. The result implies that it is not expected that the structural changes including degree of cargo concentration, specialization and relative fluctuation of cargo volume is significant in Korean ports in the future since the effects of economies of scale and clustering were achieved to the great degree.

• Journal of Korea Port Economic Association
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• v.21 no.3
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• pp.35-59
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• 2005

The Purpose of this study is to exmaine fundamental problems of Gwangyang Port and draw up plans of its Hub Port. Gwangyang Port has been gradually reduced container cargo increase rate. on account of large development of Chinese Port, undevelopment of Hinterland, Port facilities of Gwangyang Port. We should develop hinterland to be closely connected with Port Cluster, Business City, Free Economic Zone to increase cargo volume. and in order to increase transshipment cargo volume, We should prepare diverse plans that can induce Chinese and Japanese transshipment cargo. Gwangyang Port and Busan Port should be managed united one port system by a Port Authority to strengthen international competitiveness. Activation of new ports for the most part call for full support by Government at the beginning. Gwangyang Port's future it can be if Government has strong will.

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.101-115
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• 2018

The purpose of this study is to examine the growth status and future prospects of the shipping industry over the past decade through a review of the statistical database and related literature. We classify the shipping industry and survey a number of companies, number of employees, sales trends and shipping logistics market outlook, port cargo volume, and container throughput trends with regard to the sea cargo shipping business, freezing cold warehousing business, harbor cargo unloading business, and international freight forwarding business. We will also look at the overall trends, scale, cargo volume, and harbor automation status of the global shipping market.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.155-161
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• 2023

97.5% of our country's exports and 87.2% of imports are transported by sea, making ports an important component of the Korean economy. To efficiently operate these ports, it is necessary to improve the short-term prediction of port water volume through scientific research methods. Previous research has mainly focused on long-term prediction for large-scale infrastructure investment and has largely concentrated on container port water volume. In this study, short-term predictions for petroleum and liquefied gas cargo water volume were performed for Ulsan Port, one of the representative petroleum ports in Korea, and the prediction performance was confirmed using the deep learning model LSTM (Long Short Term Memory). The results of this study are expected to provide evidence for improving the efficiency of port operations by increasing the accuracy of demand predictions for petroleum and liquefied gas cargo water volume. Additionally, the possibility of using LSTM for predicting not only container port water volume but also petroleum and liquefied gas cargo water volume was confirmed, and it is expected to be applicable to future generalized studies through further research.

• 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 Korea Port Economic Association
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• v.30 no.1
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• pp.1-21
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• 2014

Recently, GTO's rate of return to investment is decreasing. Therefore, the main purpose of this paper is to analyze empirically on enhancement of competitiveness of global port container terminal. This study deals with the terms of three competitiveness enhancement factors which are a GTO's subjective factors, a management environment factors, and a government policy factors. According to analysis results of the three competitiveness enhancement factors, a GTO's subjective factors(4.21 score) are scored at the most ones of competitiveness enhancement factors of GTO, to be compared with a management environment factors(3.94 score). with a government policy factors(3.90 score). Therefore, first of all, it is important to enhance competitiveness of GTO through as follows, a GTO's subjective factors : (1) to procure local and tranship cargo volume, (2) to promote port logistics service, (3) to retain resonable port rate by promoting terminal productivity, (4) to procure container ship firms and alliance. And, the next, we have to enhance GTO's competitiveness through considering a management environment factors, that is, fluctuation of container cargo volume, port awareness, whether function of hub port, etc., and a government policy factors, that is, smart policy of port development, smart policy of port rate, incentive policy for procuring tranship cargo, etc.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.08a
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• pp.87-95
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• 2004

Economic development is remarkable in Asia and progress of industrialization of NIES, ASEAN, and China in East Asia has increased the international physical distribution in this area. However, an imbalance of trade becomes severe in these areas. The imbalance is especially big in the Asia-North America route and the Japan-China route. The imbalance in the Asia -North America liner route is 5.04 million TEUS in 2002.The transportation ratio of loaded containers between China and Japan route is approximately 3:1 in 2000. In other words, it means that the transportation of loaded containers from China to Japan is 3, the transportation of loaded containers from Japan to China is I. The imbalance at a port is generally obtained by subtracting export loaded container cargo volume from import container cargo volume. However, the imbalance and the empty containers at the port are not always same. Then, in order to evaluate rationalization and efficiency of maritime container transportation, we introduce the amount of empty containers at a port as an evaluation index. However, the past data of the amount of handling empty containers have a lot of lacking portions. Then, it is necessary to estimate the past amount of empty containers in order to grasp the amount of empty containers historically. So, we construct the model that estimates the amount of empty containers using the imbalance of main port statistics in Japan.

• Journal of Korean Port Research
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• v.5 no.2
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• pp.19-37
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• 1991

This work aims to : establish a model of the container physical distribution system of Pusan port comprising 4 sub-systems of a navigational system, on-dock cargo handling/transfer/storage system, off-dock CY system and an in-land transport system : examine the system regarding the cargo handling capability of the port and analyse the cost of the physical distribution system. The overall findings are as follows : Firstly in the navigational system, average tonnage of the ships visiting the Busan container terminal was 33,055 GRT in 1990. The distribution of the arrival intervals of the ships' arriving at BCTOC was exponential distribution of $Y=e^{-x/5.52}$ with 95% confidence, whereas that of the ships service time was Erlangian distribution(K=4) with 95% confidence, Ships' arrival and service pattern at the terminal, therefore, was Poisson Input Erlangian Service, and ships' average waiting times was 28.55 hours In this case 8berths were required for the arriving ships to wait less than one hour. Secondly an annual container through put that can be handled by the 9cranes at the terminal was found to be 683,000 TEU in case ships waiting time is one hour and 806,000 TEU in case ships waiting is 2 hours in-port transfer capability was 913,000 TEU when berth occupancy rate(9) was 0.5. This means that there was heavy congestion in the port when considering the fact that a total amount of 1,300,000 TEU was handled in the terminal in 1990. Thirdly when the cost of port congestion was not considered optimum cargo volume to be handled by a ship at a time was 235.7 VAN. When the ships' waiting time was set at 1 hour, optimum annual cargo handling capacity at the terminal was calculated to be 386,070 VAN(609,990 TEU), whereas when the ships' waiting time was set at 2 hours, it was calculated to be 467,738 VAN(739,027 TEU). Fourthly, when the cost of port congestion was considered optimum cargo volume to be handled by a ship at a time was 314.5 VAN. When the ships' waiting time was set at I hour optimum annual cargo handling capacity at the terminal was calculated to be 388.416(613.697 TEU), whereas when the ships' waiting time was set 2 hours, it was calculated to be 462,381 VAN(730,562 TEU).

• Journal of Korean Port Research
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• v.12 no.2
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• pp.243-250
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• 1998

This study is to find subjects for the Automated Container Terminal(ACT) development and container terminal system. Also we analyze the present condition of the container terminal system in Pusan port and its automation level by systems approach. And this paper aims at evaluating on the priority of R&D investment until the beginning of the second stage of New Pusan Port Project(2006). In this process we have considered 8 evaluation indexes(cost, labor, area, time, volume, reliability. safety, convenience) to analyze 6 subsystems. The priority of R&D until target year by sub-systems is as follow: 1. Cargo Handing System, 2. Transfer System, 3. Port Entry System, 4. Storage System (Distribution & Manufacturing System included), 5.Inland Transport System, 6.Port Management & Information System.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.275-289
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• 2018

It is necessary to develop a bridgehead port for trading with northern countries to promote trade through the East Sea because the East Sea Rim economic bloc around the Northeast Asia including South Korea, China, Russia, Japan, and North Korea has a high growth potential in the future. Therefore, this study aims to suggest a strategic direction to enhance the competitiveness of Donghae Port through reinforcement of container cargoes by conducting Importance-Performance Analysis (IPA) for stakeholders of Donghae Port. The analysis results suggest that it is necessary to improve the five evaluation factors: attractiveness of container and bulk volumes, appropriate ratio of export/import container quantities, frequency of vessel entry and diversity of sea routes, convenience of complex linked transportation, and competitiveness of cargo handling equipment. The implications of this study are as follows. First, it is necessary to continuously research the current status of container and bulk cargo volumes of the port and ways to increase the absolute cargo volume. Second, we need to consider realistic alternatives to improve the ratio of export/import container quantities. Third, in terms of network, we should establish a service improvement plan to increase the frequency of port calls and the diversity of sea routes. Furthermore, incentives should be provided to increase the trade volume of Donghae Port through strengthened complex linked transportation function. Finally, it is urgently necessary to provide investment support for container handling equipment as an essential requirement for the activation of the container cargoes in Donghae Port.