• Journal of Navigation and Port Research
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• v.46 no.5
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• pp.449-457
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• 2022

The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.

• Journal of Navigation and Port Research
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• v.40 no.2
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• pp.57-65
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• 2016

The port throughput situation has changed since the 2008 financial crisis in the US. Therefore, we studied the situation, accurately estimating port traffic of Korean port after the 2008 financial crisis. We ensured the proper port facilities in response to changes in port traffic. In the results of regression analysis, Korean GDP and the real effective exchange rate of Korean Won were found to increase the container throughput in Korean and Busan port, as well as trade volume with China. Also, the real effective exchange rate of Korean Won was found to increase the port transshipment cargo volume. Based on the ARIMA models, we forecasted port throughput and port transshipment cargo volume for the next six years (72 months), from 2015 to 2020. As a result, port throughput of Korean and Busan ports was forecasted by increasing annual the average from about 3.5% to 3.9%, and transshipment cargo volume was forecasted by increasing the annual average about 4.5%.

• Journal of Korea Port Economic Association
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• v.35 no.4
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• pp.169-186
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• 2019

This study suggests a development direction by comparing the cargo throughput of the port of Yeosu-Gwangyang during 2007-2015 with that of domestic ports. It derived a concentration index (HHI) of cargo throughput in domestic ports by Yeosu-Gwangyang port docks, shipping companies, and abroad regions. The main results were as follows. First, in terms of total cargo handled, the port of Yeosu-Gwangyang was second only to the port of Busan, and the HHIs for the past nine years were relatively low. Second, the port of Yeosu-Gwangyang ranked first for total import and export cargo throughput, showing relatively stable HHIs from 2007 to 2015. Third, the HHIs of container handling performance by national shipping companies showed stable levels below 1,800. Fourth, there were no regions where cargo volume was noticeably concentrated in the port of Yeosu-Gwangyang, and it showed cargo throughput across various abroad regions. While changes in national shipping companies are expected after the Hanjin Shipping Crisis, there should be no serious concern regarding the dependence of the port of Yeosu-Gwangyang. It is expected to develop further by realizing the full use of all its facilities, diversifying the tenants in the Yeosu-Gwangyang area, and improving the demurrage rate.

• Journal of Korean Society of Transportation
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• v.35 no.5
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• pp.434-446
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• 2017

This study was carried out to suggest new indicators to be used at airports. Generally, passengers and cargo will be handled at the airport, and the airport will achieve revenues through them. However, all airports can not have the same distribution of passenger and cargo throughput. When comparing and analyzing several airports, a uniform result can be expected only if a unit airport throughput indicator is applied. The 'Work Load Unit' is an indicator that integrates passengers and cargo into one, and assumes that the value of one passenger is equivalent to the cargo volume of 100kg. The existing WLU was set up based on the experience at the airport rather than being established through reasonable grounds or analysis, so there was a lot of controversy. The purpose of this study is to overcome these limitations and to suggest new index. In this study, we applied a method to compare the relative value of cargo and passenger to airport revenue. In order to analyze cargo value and passenger value, airport revenues are classified into aircraft operation related revenues, passenger handling related revenues, and commercial revenues. A total of 50 airports were selected, including 14 airports in Asia, 18 airports in Europe and 18 airports in North America. According to the final analysis results, it is concluded that the cargo is equivalent to 280kg of cargo based on the contribution of one passenger averagely. This is higher than the value of 100Kg cargo per passenger.

• Journal of Distribution Science
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• v.19 no.7
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• pp.29-39
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• 2021

Purpose: As China experienced a crisis due to Covid-19, the global supply chain collapsed and affected the world. Therefore, it is time for a change in port operational efficiency, increasing in importance with changes in the global supply chain. This study analyzed Shanghai Port's efficiency, the world's largest port and representative hub port in Northeast Asia, by looking at the relationship between facility factors and cargo throughput to present hub port development's timely implications. Research design, data and methodology: This study applied the Charnes, Cooper, and Rhodes (CCR) and Banker, Chames, and Cooper (BCC) models of the data development analysis (DEA) to construct an analysis from the input-oriented and output-oriented perspectives. Results: As a result, Yidong Container Terminal can be considered the most optimized in facilities and operation processes. Yidong and Shengdong Container Terminal should maintain current operating levels, while Pudong Container Terminal should review facility investments. Also, Zhendong, Huong, Mingdong, and Guandong Container Terminal should be reviewed to increase cargo throughput or to adjust current input variables in the current state. Conclusions: Therefore, the utilization of the container terminal input variables should be reviewed, and the factors of inefficiency should be improved. Moreover, the strategic focus of container terminal operations should be on increasing annual cargo throughput.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.383-387
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• 2008

Nowadays, the tendency of world air cargo is noteworthy and air traffic in terms of cargo throughput will no doubt grow significantly in the new Region, with India and China's booming economy and the upcoming Olympics 2008. For example, in the first 11 months of 2006 cargo traffic was increased by 6.3%. First of all, the market of air cargo in Korea grows very quickly and diversifies. It is an essential factor in the process of development of Northeast-Asia as a hub for Air Cargo logistics. However the process of air cargo in Korea is complex as compared with other north-east asia nations. At the same time, it has many problems and causes inconvenience to owners of freight. This paper investigated the process of air cargo in Korea now and analyzed problems of the process. We emphasize that 4PL is the excellent solution from among many alternatives. It is also worthy of notice that EPCglobal network strengthen the role of 4PL. In conclusion, the 4PL system based on EPCglobal network will result in a good success, so it will raise a prestige of air cargo in Korea to a higher position.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.65-79
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• 2020

With the rapid development of China's economy, the aviation industry, as an important part of transportation services, has undoubtedly achieved rapid development. However, there is hardly any academic work that was based on the development of the top airlines in the Chinese airline industry. Hence, this study provides empirical research that takes into account the longitudinal development of the top 20 airlines in China from 2009 to 2018. The throughput volumes (cargo and passenger) of the airlines were analyzed by concentration indicators, namely the concentration ratio (CR), the Herfindahl- Hirschman index (HHI), the Gini coefficient, and the shift-share analysis (SSA). In this paper, the top 20 airlines have been analyzed in terms of the passenger and cargo throughput from 2009 to 2018. The calculation results of CR6, HHI and the Gini coefficient show that the airlines were extremely deconcentrated. In addition, by comparing the ABSGR of passenger and cargo throughput, it is shown that China's aviation industry is dominated by four airlines- Air China, China Eastern Airlines, China Southern Airlines and Hainan Airlines. In the future study, it is necessary to explore growth strategies to find niche markets for passenger and cargo transportation.

• IE interfaces
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• v.20 no.1
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• pp.21-32
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• 2007

This paper deals with the simulation model for A-Mart logistic center design and operations. In developed simulation model, receiving docks, conveyor sorter, conveyor system, shipping docks, material handling devices and manual sorting stations are considered. Three types of cargo such as transfer center cargo, distribution center cargo and supermarket cargo are considered. The simulation model and process animation are developed using the simulation package ARENA. Among various design and operation alternatives consisting of the number of workers of receiving dock, allocation of receiving docks by cargo types, conveyor sorter velocity, the number of folk-lift, the number of manual sorting operators and overall layout, the best alternatives of each subsystem are selected by simulation analysis. The major performance measures such as sorter throughput, utilization of operators at each station, receiving docks utilization and folk-lift utilization are considered for the alternative evaluation.

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.25-39
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• 2023

As the scope of supply chains expands globally, unpredictable risks continue to arise. The occurrence of these supply chain risks affects port cargo throughput and hinders port operation. In order to examine the impact of global supply chain risks on port container throughput, this study conducted an empirical analysis on the impact of variables such as the Global Supply Chain Pressure Index (GSCPI), Shanghai Container Freight Index (SCFI), Industrial Production Index, and Retail Sales Index on port traffic using the vector autoregressive(VAR) model. As a result of the analysis, the rise in GSCPI causes a short-term decrease in the throughput of Busan Port, but after a certain point, it acts as a factor increasing the throughput and affects it in the form of a wave. In addition, the industrial production index and the retail sales index were found to have no statistically significant effect on the throughput of Busan Port. In the case of SCFI, the effect was almost similar to that of GSCPI. The results of this study reveal how risks affect port cargo throughput in a situation where supply chain risks are gradually increasing, providing many implications for establishing port operation policies for future supply chain risks.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.141-142
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• 2016

Port in Northern Vietnam has been playing an important role in the logistics system the country. In recent years, the cargo throughput of the region, especially, containerized cargo has increased gradually. There are totally 11 container terminals in Northern Vietnam, concentrating in Haiphong city and Quang Ninh province. Despite of increasing demand, the competition among the terminals is becoming more and more critical. The paper, firstly, summarizes factors impacting the market share of the terminals before reveal the correlation between given factors and annual container throughput. Factor analysis will be then applied to evaluate the level of terminals' logistics infrastructure. For the conclusion, strategic thinking of terminals' logistics competitiveness will be contributed to related organizations.