• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.187-188
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• 2009

On this study, the artificial neural network, one of the nonlinear forecasting methods, is compared with ARIMA model through performing a forecast of container traffic. The existing studies have been used the rule of thumb in topology design for network which had a great effect on forecasting performance of the artificial neural network. However, this study applied the genetic algorithm, known as the effectively optimal algorithm in the huge and complex sample space, as the alternative.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.19-39
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• 2010

The growth of T/S cargoes maintained a highly upward trend by an increase of throughputs of North Chinese ports in the early 2000s. Recently, however, it has fallen dramatically due to large developmental projects of infrastructures for North Chinese ports. Despite this situation, an increase rate of T/S cargoes between Korean and Japanese ports is showing relatively high by 8 to 9 percent. Therefore this study pursues to choose objectives for marketing target of a total of 23 ports in the west of Japan by analyzing factors like a trade characteristics with Busan ports, an increase rate, a market share and a fluctuation rate of throughputs. The result of this study shows that Moji, Niigata, Naha, Shimonoseki and Kanazawa port are selected as the objectives for core marketing and Hakata, Akita, Tokuyama, Imari, Ishikari and Sakata port are chosen as ports for continuous marketing.

• 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.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.145-146
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• 2022

물동량 증가로 인하여 부산신항에는 극초대형 컨테이너 선박들이 입항하고 있으며 서컨테이너 부두 건설 사업이 완료되면 부산신항 진출입 항로 내 다양한 조우 상황 발생으로 충돌 위험 상황을 초래할 수 있어 선박 통항 안전성 향상 방안 마련을 위하여 부산신항 내 항만 입출항 현황과 해상교통흐름을 살펴보았으며, AHP 기법을 활용하여 위험요소 및 안전대책 식별로 도출된 안전대책을 기반으로 환경 스트레스 모델을 활용하여 해상교통류 시뮬레이션을 실시하여 각 안전대책의 교통 위험도를 파악하였다. 설문조사 및 시나리오 평가 결과, 선박운항자는 일방통행을 위한 진입금지 해역 설정을 가장 중요하게 생각하였으며, 이는 위험도 경감에 큰 효과가 있을 것으로 예상되었다, 본 연구는 부산신항을 입출항 하는 선박들의 통항 안전성 제고를 위한 안전대책 마련의 기반이 될 수 있을 것이다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1999.10a
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• pp.207-215
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• 1999

우리 나라의 수출입은 대부분 항만을 통해서 이루어지고 있으나 수출입 전체적인 흐름에서의 정보교환이 원활이 이루어지고 있지 않아 육상물류와 해상물류와의 정보흐름이 단절되어 육상물류에서 생겨나는 원천정보를 활용할 수 없다. 또한 각 선사를 비롯한 해운대리점과 관련업계, 그리고 정부기관들이 독자적인 데이터베이스를 보유하고 있어 정보의 중복성, 불일치성 등이 문제점으로 지적되고 있다. 그리고 물류망의 경우 망업자라는 한계와 독자적인 데이터베이스를 보유하지 못함으로써 항만관련업자나 기관들에 보다 유익한 정보를 제공하지 못하고 있다. 이에 본 논문에서는 우리 나라의 수출입 물동량 중 가장 비중이 높은 컨테이너 화물을 대상으로 수출입 컨테이너화물의 모든 정보를 원천지에서부터 입수하여 이를 통합 관리하여 저장함으로써 육상과 해상의 정보흐름을 유연하게 연계시킴은 물론 데이터의 불일치. 중복성 등과 같은 문제를 해결하고자 하였다. 본 연구에서 구축된 통합데이터베이스 시스템은 컨테이너화물의 수출입과정에서 발생하는 모든 정보를 활용할 수 있도록 이들을 거시적인 관점에서 구조화하였으며, 또한 수출입상의 EDI 업무를 지원하기 D NL해 통합 데이터베이스의 데이터와 코드를 설계하였다. 마지막으로 이러한 정보를 실시간제공하고 사용자의 접근성을 높임과 동시에 사용자에게 비용의 부담을 줄일 수 있돌고 웹을 기반으로 하여 모든 정보의 입력과 조회 및 정보의 교환이 가능하도록 하였다.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.321-330
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• 2022

Busan New Port manages the largest volume of traffic among Korean ports, and accounts for 68.5% of the total volume of the Busan port. Due to this increase in volume, ultra large container ships call at Busan New Port. When the additional south container terminal as well as ongoing construction project of the west container terminal are completed, various encounters may occur at the Busan New Port entrance, which may cause collision risk.s Thus, the purpose of this study was to provide a plan to improve the safety of vessel traffic, in the in/out bound fairway of Busan New Port. For this purpose, the status of arrivals and departures of vessels in Busan New Port, was examined through maritime traffic flow analysis. Additionally, risk factors and safety measures were identified, by AHP analysis with ship operators of the study area. Also, based on the derived safety measures, scenarios were set using the Environmental Stress model (ES model), and the traffic risk level of each safety measure was identified through simulation. As a result, it is expected that setting the no entry area for one-way traffic would have a significant effect on mitigating risks at the Busan New Port entrance. This study can serve as a basis for preparing safety measures, to improve the navigation of vessels using Busan New Port. If safety measures are prepared in the future, it is necessary to verify the safety by using the traffic volume and flow changes according to the newly-opened berths.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.88-100
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• 2010

This paper investigates the influence of industrial activity volatility and exchange rate volatility on import container volume of the Korea during the 1999:1- 2010:9. Conditional variance from the GARCH(1, 1) model is applied as the volatility. The Johansen multivariate cointegration method and the error correction (general-to-specific) method are applied to study the relationship between import volume and its determinants. The empirical results show that volatility has statistically significant negative effect on import volume.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.195-215
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• 2011

The purpose of this article is to provide data to be utilized for marketing to attract future container cargo to the Korea-China Car Ferry Service and to estimate container traffic for the development of the International Passenger Terminal to be newly built in the Incheon Southern Port. An analysis of container traffic through the Passenger Terminal of Incheon Port showed that the container throughput of Incheon Port comprised 20% of traffic. The export cargo traffic in the International Passenger Terminal, 71.4%, or 111,698 TEU of 156,284 TEU in total, was brought from metropolitan areas. To increase the container traffic of the car ferry service currently concentrated on the metropolitan areas, more endeavor is required to strengthen marketing competence to attract container traffic to other regions apart from the metropolitan areas as well as provide general services.

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.95-109
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• 2011

The aim of this study is to analyze the container terminal operation by considering the key factors that fluctuates the container traffic volume using the System Dynamics (SD) method. The target area of this study is the 'A' container terminal which is located in the Port of Incheon and the simulation period is from 2004 to 2020. As evaluation indexes for container terminal operation, three factors such as 'total sales', 'operating ratio of C/Y' and 'operating ratio of G/C' are selected, and as for the key factors of fluctuating container traffic volume, 'variation ratio of world trade', 'variation ratio of trade among three countries in North-East Asia' and 'variation ratio of won-dollar rate are used. As of 2020, the result of this study is that import-export container traffic volume increases almost 880,000TEU and total sales and operating ratio of G/C each reach 7.1 bilion won and 65 percent. No changes however in loadage and operating ratio of C/Y in 'A' container terminal are indicated. The reason is that capability of C/Y is exceeded. Therefore this study suggest that decision-makers of 'A' container terminal realize the importance of additional space of C/Y.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.527-534
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• 2012

In order to achieve sustainable growth and gain competitive advantages business performance should be monitored regularly by a company. In the port industry container terminal operators are facing growing competition. A large scale of new container terminals are constructed and the number of new container terminal operators are increasing. Container shipping lines are gaining bargaining power against terminal operators in terms of negotiating terminal usage. The competitive environments result in reduced cargo handling charges and poor financial performance of container terminal operators. It becomes very important to examine how efficiently container terminal operators are operating their terminals and how to improve their performance. This paper investigates the measurement efficiency for container terminal operators in Korea using Data envelopment analysis(DEA) of DEA-CCR and DEA-BCC Model. This paper finds out which container terminal operators are inefficient and how to improve their management efficiency.