• Journal of Korean Society of Transportation
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• v.22 no.1 s.72
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• pp.19-30
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• 2004

Once baggage demand of passengers is forecast, BHS requirements must be analyzed, i.e., the number of originating/transferring/terminating bags to be handled, the number of conveyor lines to be installed, the number of containers for baggage make-up, the number of claim devices for baggage claim, and so on. Therefore, the determination of the baggage traffic volume is one of the most important analysis components for the airport design. Accordingly, this research proposes time-based distribution table models in order to accurately estimate BHS requirements to obtain design criteria in airport design phase. As the BHS requirements are ascertained, related requirements of the facilities can be determined by applying actual specifications of devices, i.e., throughput. This research found that the proposed mathematical model gives a good reflection of IIA (Incheon International Airport)'s operational condition. That means the model provides apparent reliability and feasibility. Furthermore, the specifications of devices are the newest figures. This fact supports that the research provides more effcient and reliable results.

• Journal of Navigation and Port Research
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• v.33 no.6
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• pp.415-421
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• 2009

Recently, the volume of transshipment containers in Busan Port has been declining significantly and domestic ports' throughput is shown far below the projected one. Accordingly, the national port development plan made to capture the sharply increasing demand in the past seems to be subject to an amendment, and inducing port container traffic becomes a key issue. In such situation this paper aims at analysing the effect of logistics cost saving when Japanese import and export containers are transshipped in Busan port. For this we developed 3 scenarios for the movement of containers through the major container ports in western cost of Japan, analysed logistics costs together with cost savings and finally derived some implication for inducing the containers to Busan Port.

• Journal of the Korean Society for Railway
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• v.12 no.3
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• pp.348-356
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• 2009

The objective of this paper is to estimate the DMT utility function for the transportation mode choice using SP survey. With the freight OD data the estimated utility function can be used as a basic data for forecasting DMT market. 3 alternatives of transportation mode are considered in SP survey; railway, road and DMT. The utility functions are developed according to the freight items, which are container, steel and chemical product. In this study the attribute variable are chosen as time, cost and reliability. The number of level for attribute variables are 3. The high valve is determined as +10% above the standard and the low value -20% below the standard.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.301-307
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• 2006

As container traffic in the world increases rapidly, size if containership is become bigger and bigger. With these trends, many studies have. been done on such big ships by consultant, naval architects, port designers, ship operators, economists etc,. with different points of view and results. But previous studies were concentrated on hardware and theoretical side. Therefore the objective of this paper is to analyze response and intention of ship's user such as shipping companies and forwarding companies about prospects of mega-ship size, preference of Mega ship, problem and handling time of Mega ship.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.106-107
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• 2010

물류환경의 급격한 변화와 함께 항만을 둘러싼 환경도 빠르게 변화하고 있다. 이와 같은 항만환경의 급격한 변화는 동북아지역을 중심으로 한 전 세계 컨테이너 물동량의 급속한 증가, 정기선사의 경영전략 변화, 부두운영업의 글로벌화, 물류중심화 선점을 위한 경쟁 격화, 선박기술의 혁신 등으로 나타나고 있다. 항만의 운영 관리 책임자들이 이러한 변화를 예측하고 이에 신속히 대응하지 못하면 그 항만은 경쟁에서 뒤지게 된다. 국내외를 연결하는 항만 간 경쟁은 국제적인 것이 일반적이어서 우리나라 항만뿐만 아니라 이웃나라 항만과의 경쟁에서도 살아남아야 한다. 특히 우리나라 항만은 전 세계적으로 항만 간 경쟁이 가장 치열한 동북아 지역에 위치하고 있어 더욱 강력한 경쟁력을 확보하지 않으면 항만 간 경쟁에 뒤져 국제무대에서 사라질 수밖에 없다. 이에 본 논문에서는 대형항만을 중심으로 이루어진 항만선택결정요인에 대한 기존 연구들을 살펴보고 이를 재고찰하여 중소형항만에 적용시키고 향후 방안을 제시하고자 한다.

• Journal of Navigation and Port Research
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• v.34 no.8
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• pp.629-634
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• 2010

Mathematical model of maneuvering motion for a Mobile Harbor is established and versatile applications to the special situations of maneuvering are attempted. The Mobile Harbor in this research has twin Azipod thruster and twin bow thruster. In order to predict the maneuverability of Mobile Harbor, a mathematical model was developed on the basis of MMG model, and some model test results were adopted for the simulation of Mobile Harbor. As a result, the turning motions of the Mobile Harbor were successfully calculated. and the optimal berthing system was completed.

• Journal of Navigation and Port Research
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• v.41 no.1
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• pp.25-32
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• 2017

The purpose of this investigation is to analyze the synchronization between the representative global freight index, the Baltic Dry bulk Index (BDI) and the China Container Freight Index (CCFI) with monthly data from 2000 to 2016. Using the non-stationarity of the business cycle that is able to include common trends, we employ the Engle-Granger 2 stage co-integration test and found no synchronization. On the contrary, we additionally estimated the causality between the markets and revealed the causality, which implies that the Chinese economy has a significant effect on the global market. The results of this empirical analysis demonstrate that the CCFI of China is appropriate for analyzing the shipping industry. In practice, this means that it is more appropriate to include CCFI in the global market outlook than use it as a substitute for the global freight rate index, the BDI. This is a case study of the synchronization of the economic fluctuations of the shipping industry. It suggests that the economic fluctuations of China need to be considered in the unstable global market forecast. In particular, this case applies to the fluctuations in the shipping industry synchronism and provides important results in scientific terms.

• 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 Korea Port Economic Association
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• v.36 no.4
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• pp.17-30
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• 2020

In the shipping industry, it is essential to engage in the preemptive prediction of freight rate volatility through market monitoring. Considering that freight rates have already started to fall, the loss of shipping companies will soon be uncontrollable. Therefore, in this study, factors affecting the freight rates of bulk carriers, which have relatively large freight rate volatility as compared to container freight rates, were quantified and analyzed. In doing so, we intended to contribute to future shipping market monitoring. We performed an analysis using a vector error correction model and estimated the influence of six independent variables on the charter rates of bulk carriers by Handy Size, Supramax, Panamax, and Cape Size. The six independent variables included the bulk carrier fleet volume, iron ore traffic volume, ribo interest rate, bunker oil price, and Euro-Dollar exchange rate. The dependent variables were handy size (32,000 DWT) spot charter rates, Supramax 6 T/C average charter rates, Pana Max (75,000 DWT) spot charter, and Cape Size (170,000 DWT) spot charter. The study examined charter rates by size of bulk carriers, which was different from studies on existing specific types of ships or fares in oil tankers and chemical carriers other than bulk carriers. Findings revealed that influencing factors differed for each ship size. The Libo interest rate had a significant effect on all four ship types, and the iron ore traffic volume had a significant effect on three ship types. The Ribo rate showed a negative (-) relationship with Handy Size, Supramax, Panamax, and Cape Size. Iron ore traffic influenced three types of linearity, except for Panamax. The size of shipping companies differed depending on their characteristics. These findings are expected to contribute to the establishment of a management strategy for shipping companies by analyzing the factors influencing changes in the freight rates of charterers, which have a profound effect on the management performance of shipping companies.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.375-384
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• 2022

The shipping industry is cyclically impacted by complex variables such as various economic indicators, social events, and supply and demand. The purpose of this study was to analyze the operating profit of 13 Korean liner companies over 30 years, including the financial crisis of the late 1990s, the global financial crisis of the late 2000s, and the COVID-19 global pandemic. This study was conducted to also identify factors that impacted the profit ratio of Korea's liner shipping companies according to economic conditions. It was divided into ocean-going and short-sea shipping, reflecting the characteristics of liner shipping companies, and was analyzed by hierarchical multiple regression analysis. The time series data are based on the Korean International Financial Reporting Standards (K-IFRS) and comprise seaborne trade volume, fleet evolution, and macroeconomic indicators. The outliers representing the economic downturn due to social events were separately analyzed. As a result of the analysis, the China Container Freight Index (CCFI) positively impacted ocean-going as well as short-sea liner shipping companies. However, the Korean container shipping volume only impacted ocean-going liners positively. Additionally, world and Korea's GDP, world seaborne trade volume, and fuel price are factored in the operating profit of short sea liner shipping. Also, the GDP growth rate of China, exchange rate, and interest rate did not significantly impact both groups. Notably, the operating profitability of Korea's liner shipping shows an exceptionally high rate during the recessions of 1998 and 2020. It is paradoxical, and not correlated with the classical economic indicators. Unlike other studies, this paper focused on the operating profit before financial expenses, considering the complexity as well as difficulty in forecasting the shipping cycle, and rendered conclusions using relatively long-term empirical analysis, including three economic shocks.