• Journal of Korea Port Economic Association
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• v.37 no.3
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• pp.55-74
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• 2021

The role of container ports contributes greatly to international trade and national or regional economic development by supporting maritime transportation and occupies a central position in the supply chain connecting sea and land. The performance(traffic volume) of a port generally depends on geographic, economic, and operational factors etc. For the past several decades, container port volumes have grown with fluctuation. This study amis to analyze how global ports have undergone changes in terms of cargo volume by region, size and period. For the analysis, only the volumes of global top 100 ports were used. Shift-share analysis and BCG matrix analysis were employed as methodologies. According to the result of the analysis, the relative volatility of port traffic over the past 16 years as a whole was found to be limited. On the other hand, ports in China and Southeast and Southwest Asia, which are economically growing for the last decades, showed growing trends, while ports in Northeast Asia and Europe appeared to be in a stagnant or declining phase. It also shows that most of the global ports maintain limited changes in cargo volume because they are already positioned as central ports in the region. In addition, it can be seen that the global port volume has a close relationship with the change in the economic capability of the relevant region or country.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.51-58
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• 2002

The purpose of this paper is to find some implications for Korean seaports in terms of operation and development of ports, in particular for attracting more transshipment container cargoes into major Korean seaports. This was accomplished by the O-D analysis between major Korean seaports and top 20 Chinese ports.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.250-251
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• 2012

지난 15년간 한국경제는 두 번의 금융위기인 1997년의 아시아 금융위기와 2008년의 글로벌 금융위기로 인해 엄청난 경제손실을 입었다. 이와 같이 우리 경제의 고유한 문제이기 보다는 외부에서 발생한 일련의 사건들은 GDP와 같은 국내 거시경제지표들뿐만 아니라 국내 항만들의 컨테이너처리물동량에도 많은 영향을 주었다. 본 연구에서 두 번의 금융위기를 독립적이며 상이한 형태의 외부의 영향으로 가정한 뒤, 국내 항만들의 컨테이너처리물동량에 어떤 영향을 주었는지에 대한 개입분석을 수행한다. 그래서 각기 다른 충격들에 대한 컨테이너처리량을 변화와 함께 그 충격들 간의 특성규명을 통해 우리나라 항만산업에 다양한 시사점을 제공하고자 한다.

• Journal of Navigation and Port Research
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• v.39 no.4
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• pp.371-376
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• 2015

Port is responsible for the important role that creates a lot of value-added export and import-intensive countries, critical infrastructure, and in the national economy. Despite being an important facility for the past, awareness of the port is insufficient; In 2000s, increasing the world container traffic volumes, China's economic development, and trade volume in the Northeast Asia to generate a lot of are changing the perception of the role and importance of the port. According to the review of the master plan and the port recognition in Korean Port, this study examines determining factors which affects the port cargo volume. The target of the study is domestic small and medium-sized container port that receives a large hinterland cargo volume, excluding the impact of the Global Hub Port like Busan and Gwangyang port. Factors that affect the multiple regression analysis result of the port cargo volume are berthing capacity, degree of activation, connection number of countries, GRDP and number of manufacturers.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1094-1095
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• 2023

우리나라는 지리적 여건 상 대외무역에 대한 의존도가 높기 때문에, 해상운송에서의 물동량을 예측하여 항만시설을 개발하는 것이 매우 중요하다. 한편 우리나라 컨테이너 운송의 75%는 부산항을 통해 운송되고 있기 때문에 경기 회복을 위해서는 부산항의 경쟁력 강화가 급선무이다. [1] 물동량은 경제적 수입 뿐만 아니라, 지속가능성을 예측하는 측면에서도 가치가 있다. 본 연구에서는 물동량, 경제지수, 기후정보 등 다양한 입력변수와 LSTM 모델을 이용하여 보다 정확한 부산항 컨테이너 물동량 딥러닝 예측모델을 구현하였다.

• Journal of Korea Port Economic Association
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• v.28 no.4
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• pp.193-207
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• 2012

The of purpose of this study is to predict export and import container volumes using a Decision Tree analysis. Factors which can influence the volume of container cargo are selected as independent variables; producer price index, consumer price index, index of export volume, index of import volume, index of industrial production, and exchange rate(won/dollar). The period of analysis is from january 2002 to December 2011 and monthly data are used. In this study, CRT(Classification and Regression Trees) algorithm is used. The main findings are summarized as followings. First, when index of export volume is larger than 152.35, monthly export volume is predicted with 858,19TEU. However, when index of export volume is between 115.90 and 152.35, monthly export volume is predicted with 716,582TEU. Second, when index of import volume is larger than 134.60, monthly import volume is predicted with 869,227TEU. However, when index of export volume is between 116.20 and 134.60, monthly import volume is predicted with 738,724TEU.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.422-424
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• 2011

오늘날과 같이 급속히 변화하는 기업경영 환경에서 조직이 생존하고 번영하기 위해 기업의 경영 성과를 향상시켜야 하고 이를 위해서는 생산성 또는 효율성을 꾸준히 평가할 필요가 있다. 본 연구는 평가대상의 상대적 효율성을 측정하기 위해 개발된 DEA(Data Envelopment Analysis) 방법론을 이용하여 국내 컨테이너터미널 운영사의 경영 효율성을 비교 분석함으로써 2007년부터 2009년까지의 터미널 운영사의 효율성 수준을 파악해 보았다. 연구결과 2007년부터 2009년까지 점차적으로 영업이익률이 줄어드는 현상이 나타나는데, 이것은 산출변수에는 큰 변화가 없는 반면 투입변수는 지속적으로 증가하고 있다는 것을 알 수 있다. 이것은 동 기간 사이에 컨테이너터미널 업체수는 증가하였음에도 불구하고 물동량의 증가가 미미하여, 물동량 확보를 위한 터미널 업체들간의 경쟁이 치열해졌다는 것을 알 수 있다. 이러한 경쟁은 하역요율의 단가하락 문제를 발생시켰으며, 이로 인해 업체들의 경영악화가 가속되었다는 것을 의미한다. 본 연구 결과는 물동량 변화에 따른 투입변수의 최적화를 통해 컨테이너터미널 운영사의 경영효율성을 제고하는데 기여 할 것으로 판단된다.

• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.169-187
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• 2015

Ports as central factors of the logistics industry and principal bases in industrial activities play a significant role in the development of the social economy. This paper takes the throughput data from 2000 to 2014 of 10 container ports located in China as the research object with the Gini coefficient and employs the shift-share analysis. It aims to analyze the changes in port concentration and movement of container throughputs and propose a stage of development port system in China. The results are as follows. First, the system of container ports clearly moves northward. According to the above shift-share analysis, the throughput moves from the Pearl River Delta to the other two regions. This indicates that the center of Chinese container port system moves northward. Second, container port diversification development takes a representative position in the change of container throughput space structure. According to the calculation results of Gini coefficient, diversified development gradually predominates the change of container throughput space structure.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.617-618
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• 2020

우리나라의 지리적인 여건상 대륙과 연결되지 않기 때문에 해상운송에 절대적으로 의존하고 있다. 해상운송에 있어 항만시설의 확보가 필요하며 대외무역의존도가 높은 우리나라의 경우 더욱 중요한 역할을 한다. 항만시설은 장기적인 항만수요예측을 통해 대규모 인프라투자를 결정하며 단기적인 예측은 항만운영의 효율성을 개선하고 항만의 경쟁력을 제고하는데 기여하므로 예측의 정확성을 높이기 위해 많은 노력이 필요하다. 본 논문에서는 딥러닝 모델 중에 하나인 LSTM(Long Short Term Memory)을 적용하여 우리나라 주요항만의 컨테이너 물동량 단기예측을 수행하여 선행연구들에서 주류를 이뤘던 ARIMA류의 시계열모델과 비교하여 예측성능을 평가할 것이다. 본 논문은 학문적으로 항만수요예측에 관한 새로운 예측모델을 제시하였다는 측면에서 의미가 있으며 실무적으로 항만수요예측에 대한 정확성을 개선하여 항만투자의사결정에 과학적인 근거로서 활용이 가능할 것으로 기대된다.

• Journal of Korea Port Economic Association
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• v.23 no.2
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• pp.1-24
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• 2007

With its foreign trade rapidly expanding and with economic growth continuing at a substantial rate, China has become the largest container traffic generating country in the world. And with trend of container ships becoming larger and faster, the environment surrounding ports in North-East Asia are rapidly changing. The Yangsan, offshore port for Shanghai, being developed on the islands of Da Yangsan and Xiao Yangsan, some 30km offshore, and connected to the mainland by the six-lane highway Donghai bridge, opened phase one in late 2005 and phase two in 2006 respectively and will have 29 berths by 2012 and be able to handle 15 million TEU. The Port of Shanghai which passed Busan in terms of container volume further consolidated its position as the world's No. 3 port with an annual volume of 21.7 million TEU in 2006 and is likely to have emerged as the biggest container port in the world. The Port of Busan, the world's fifth largest container port, wants to survive as regional hub port. In this circumstance, the strategies of the Port of Busan should be established.