• Journal of Navigation and Port Research
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• v.44 no.5
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• pp.391-399
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• 2020

Every port is competing for attracting loyal customers from other ports to achieve more profits stably. This paper proposes a data-mining scheme to facilitate this process. For resolving the problem, the OD (Origination-Destination) data are gathered from the AIS (Automatic Identification System) data. The OD data are clustered according to the arrival dates and ports. The FP-growth algorithm is applied to mine the frequent patterns of ships arriving at ports. Maintaining a loyal customer list for port updates and accuracy is critical in establishing its usefulness. These lists are critical as they can be used to provide suggestions for new products and services to loyal customers. Finally, based on the frequent patterns of the ships and the mode of arrival times, a formula proposed in this paper to derive shipping companies' loyalty to ports was applied. The case of Kaohsiung port was shown as an example of our algorithm, and the OD data of ships in 2017-2018 were processed. Using the results of our algorithm, other rival ports, such as Shanghai or Busan, may attract customers no longer loyal to Kaohsiung ports in the last two years and attract them as new loyal customers.

• Journal of Navigation and Port Research
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• v.32 no.4
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• pp.287-294
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• 2008

Recently, amount of cargoes from main ports in Northeast Asia have rapidly increased and as well surplus port development in same region corresponded with the boom in external trade that resulted from successful export-oriented economics strategy by China, Japan and South Korea. To cope with this business circumstances, a certain form of port alliance is desperately needed to provide a suitable service to customer and establish their countervailing power against the shipping alliance. Nevertheless, Incheon seaport has not made a definite port alliance system with main ports in Northern China yet. Thus, the purpose of this study is to identify the key success factors to form a port alliance through examining previous studies. We have benchmarked previous studies which are related to main ports in global region and the questionnaire on customers of ports. By studying this, we are able to suggest a few strategies for forming successful port alliance to enhance Incheon port's capabilities in the long term plan. As a policy proposal, this study suggests Incheon port and main ports in Northern China should construct a logistics infrastructure through mutual investment and provide an incentive system when the ocean carrier makes port call to both ports.

• Journal of Korea Port Economic Association
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• v.23 no.1
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• pp.115-148
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• 2007

Under the influence of ever-globalized world economy, Yangsan Port of Shanghai, a central hub of Chinese economy, was opened up on Dec. 1, 2005 in the expectation of heart of northeast Asian harbor logistics. It has triggered severer competitions among northeast Asian ports. In an effort to keep robust standing as a central port of northeast Asia, Korea has still built additional new ports and opened up 3 docks in Nov. 2005. Amid these changing port environments, it is foremost to take the competitive edges of new ports in advance of major rival ports in the interest of preoccupying the standing of those new ports as the central hub of northeast logistics. According to the developmental strategies of new ports can be summed up as follows: First, it is required to separate port development from marketing as a part of separating developmental entity from management/maintenance entity. Second, it is required to develop dedicated port for feeder vessels along with new ports to save more time and cost spent by shipping companies. Third, the attraction of jumbo shipping companies to port development needs differentiated countermeasures for each shipping company, and those measures should be taken in advance before jumbo shippers decide their own shipping strategies in future. Fourth, in terms of incentives for attracting jumbo shipping companies, it is required to offer the incentives to them in using new ports in connection with Busan ports. Fifth, it is critical to set up a benchmark of competitors(ports) for establishing one-stop automatic administration process system upon developing ports. Finally, it is required to prepare a plan for using rearward lands in connection with ports for more efficient use of development complex behind port.

• Journal of Korea Port Economic Association
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• v.33 no.4
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• pp.1-16
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• 2017

The total container throughput of ASEAN is expected to increase continuously with economic development. However, ASEAN port infrastructure is insufficient to handle the increasing trade volume. According to the World Economic Forum, ASEAN ports except Singapore and Malaysia are ranked in low. Participation in ASEAN port development projects can lead an increase in trade efficiency with S. Korea by improving the port infrastructure of ASEAN countries. In addition, the S. Korean port-related industry can be energized through entering ASEAN port development projects. This study, which measures the efficiency of ASEAN ports, can be used as a basic guideline for the development and the planning of the ports. This study used Data Envelopment Analysis(DEA) and Shannon's Entropy model together to measure ASEAN ports' efficiency. After measuring each DEA (CCR, I-BCC, O-BCC, SBM) weight, the efficiency of ASEAN ports is measured as reflecting each DEA weight. As a result, the ports of Singapore and Malaysia, the major ports in the world, have the highest efficiency. Further, Vietnamese ports need to raise efficiency along with increasing container throughput. Leam Chabang (Thailand), Ho Chi Minh City (Vietnam), and Tanjung Priok (Indonesia) exhibit a negative correlation between container throughput and efficiency; therefore, the ports need to improve so as to maintain competitiveness. Lastly, Cambodia, Myanmar, and Brunei, which do not have active economic development, need to improve their ports for economic development.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.165-182
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• 2016

This study examines the competitiveness and cooperativeness among the container ports in East Asia by analyzing their monthly dynamics in eight years (2008-2015). Time series data on container throughput divided into origin and destination (O/D), such as the top six Chinese ports and the transshipment (T/S) ports such as Hong Kong, Busan, and Singapore, are computed with two methods based on the Vector Error Correction Model (VECM). The first Granger causality test results show that Busan T/S has significant bilateral relations with three Chinese O/D ports; and significant unidirectional relations with three other O/D ports. Shenzhen port has significant bilateral relations with Singapore, and has a significant unidirectional relation with Hong Kong port. Co-integrating test results showed that Busan holds negative co-integration with all Chinese O/D ports. Impulse response function (IRF) results show an opposite direction between paired ports. The ratios of the impulse from T/S ports are significantly high to one another in the short-run, but its power declines as time passes. The ratio of the impulse from the Chinese ports to T/S ports is less significant in the short-run period, however, it becomes more significant as time passes. The significance of most shocks was high in the second period, but was diluted after the sixth period.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.121-123
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• 2016

This paper studies the competitiveness and complementary among the major container ports in East Asia by analyzing their extensive and intensive dynamics in recent 8 years (2008-2015). Time series data on container throughput dividing into O-D and transshipment for the ports of Hong Kong, Kaohsiung, Shanghai, Busan, Ningbo-Zhoushan, and Shenzhen are calculated based on VAR and VECM model.

• Korea Trade Review
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• v.48 no.3
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• pp.217-242
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• 2023

This study aims to analyze the factors influencing the logistics demand of inland ports along the Yangtze River and predict future port logistics demand based on these factors. The logistics demand prediction using system dynamics techniques was conducted for a total of six ports, including Chongqing and Yibin ports in the upper reaches, Jingzhou and Wuhan ports in the middle reaches, and Nanjing and Suzhou ports in the lower reaches of the Yangtze River. The logistics demand for all ports showed an increasing trend in the mid-term prediction until 2026. The logistics demand of Chongqing port was mainly influenced by the scale of the hinterland economy, while Yibin port appeared to heavily rely on the level of port automation. In the case of the upper and middle reach ports, logistics demand increased as the energy consumption of the hinterland increased and the air pollution situation worsened. The logistics demand of the middle reach ports was greatly influenced by the hinterland infrastructure, while the lower reach ports were sensitive to changes in the urban construction area. According to the sensitivity analysis, the logistics demand of ports relying on large cities was relatively stable against the increase and decrease of influential factors, while ports with smaller hinterland city scales reacted sensitively to changes in influential factors. Therefore, a strategy should be established to strengthen policy support for Chongqing port as the core port of the upper Yangtze River and have surrounding ports play a supporting role for Chongqing port. The upper reach ports need to play a supporting role for Chongqing port and consider measures to enhance connections with middle and lower reach ports and promote the port industry. The development strategy for inland ports along the Yangtze River suggests the establishment of direct routes and expansion of the transportation network for South Korean ports and stakeholders. It can suggest expanding the hinterland network and building an efficient transportation system linked with the logistics hub. Through cooperation, logistics efficiency can be enhanced in both regions, which will contribute to strengthening the international position and competitiveness of each port.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.39-61
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• 2013

China, a leader of regional economies in North-East Asia, helps to integrate a single shipping market and affects diversely main ports in the region through affecting the flows of container transshipment, strategies of shipping companies for port calling and shipping networks. This study examines competition and cooperation among the hub ports in the region through studying examples of the three Chinese hub ports -Hong Kong, Shanghai, and Tianjin- and concludes some implications of status change of hub ports in the region after scrutinising development process of the Chinese main hub ports and the historic interaction of port development among these ports. The characteristics of growth pattern of three ports are as follows. The port of Hong Kong constructs step by step the container facilities in accordance with demand growth and prefers stabilisation of operation and management through scale enlargement of port facilities. Even though demand grows continually, the port of Shanghai continued its defensive attitude towards facility expansion till the 1990s and has tried to get economies of scale in enlargement of port facilities. The port of Tianjin, similarly as the two other ports, expands serially its facilities and utilizes the capacity concentration and functional specialisation of facilities. The analysis of panel data and panel regression of three hub ports implicates that each port has its own specific demand and shows that the interaction of container handling among three ports was weak in 1980s and has become stricter and stronger since 1990.

• International Commerce and Information Review
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• v.16 no.2
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• pp.157-183
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• 2014

The aim of this study is to establish a detailed strategic countermeasure for Korean west coast ports(Pyeongtaek Dangjin Port, Incheon Port, and Gwangyang Port) to be developed into core ports in the Pan-Yellow Sea area as the results such as strategic partnership ports analysis through the container volume analysis in Korean ports are comprehensively taken into account between west coast ports and other major ports in the Pan-Yellow Sea area. This study utilized related data which import and export data by Office of Customs Administration and SPIDC by Ministry of Maritime Affairs and Fisheries for analyzing container volume between two ports. Strategic partnership ports were selected based on in-depth analysis on 5 standards such as container volume in 2012, increase rate of trading, occupancy rate, variance rate, and contribution of container volume. As a result of selection strategic partnership port in Pan-Yellow Sea area, Lianyungang, Tianjin, Yantai, Qingdao, Dalian port in Pyeongtaek Dangjin Port, Shidao, Weihai, Qingdao, Tianjin, Dalian port in Incheon, Qingdao, Yantai, Dalian, Lianyungang port in Gwangyang port. Also this study proposed implications of countermeasure to establish strategic partnership ports for each of west coast ports.

• Journal of The Geomorphological Association of Korea
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• v.17 no.3
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• pp.59-75
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• 2010

In this study, location evaluation of the natural environment of ports in the Joseon Dynasty was carried out to investigate the outport of east coast for the conquest of Usanguk. As a result of study, there were 55 ports and naval stations in the Joseon Dynasty, including the Yeongokpo, Aninpo, Samcheokpo, Susanpo, and Wolsongpo. As a result of the restoration work in the sea level that was done in the sixth century, the sea level at that time was about 1m higher than that at present. In terms of the location type, three types were identified via natural-environment analysis. Location type I consists of a total of 21 ports suitable for defense due to the sand spit in all the sides and because it is located in the bay of small and medium rivers. Location type II is composed of 22 ports close to the open seas, and location type III consists of a total of 12 ports centering on the bay. A total of nine ports satisfied the location factor in the shortest distance analysis(targeting location type I), 15 ports in the slope analysis, 13 ports in the hinterland analysis, 13 ports in the visibility analysis, and 11 ports in the ocean current analysis. It was found in the final evaluation that the I level regions consist of two ports(Obunjin and Mangyangjin). Obunjin has a location characteristic that is advantageous for defense and that makes it suitable to serve as an anchorage harbor for a large-scale fleet as its water level is deep and as it has a wide embayment. In conclusion, Obunjin is considered the outport that has the highest possibility of serving as Isabu's departure port for the conquest of Usanguk.