• Journal of Korea Port Economic Association
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• v.33 no.3
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• pp.139-154
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• 2017

As competition in domestic and overseas ports intensify, new and small domestic ports are realizing certain limitations to independently secure competitiveness. This study collected data over 60 months with five modifications for container and general cargo volume around Gyeongin Port. Short-period (12 months) cargo volume was forecasted, which revealed the need for a middle-to-long-term development plan. First, the hinterland logistics complex of Gyeongin Port is expected to contribute to the coastal maritime facility through the quasi-public system for fishery product transportation and passenger services. It proposes to achieve this by opening channels to and from China for precision machinery, home network systems, LEDs, and machine industry items. second, specializing the ultra-light cargo transport route, and connecting the coastal island areas of the 5 West Sea Islands to Ara Waterway (Integrated Fishery Product Center of the 5 West Sea Islands). Third, on the basis of organic cooperation of government? local government ? port, the incentive and pre-circular support system would be required, and lastly, it shall carry out the adjustment of functions in nearby ports and specialization strategy simultaneously through the integrated operation of the ports in the capital areas.

• 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.

• Journal of Korea Port Economic Association
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• v.25 no.4
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• pp.131-146
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• 2009

The purpose of this study is to predict the railway cargo volume on Busan new-port and north-port, in order to revitalize railway transport. This paper is organized as follows. Section 1 presents the description of the objective and methods on this study. Section 2 presents the status of Railway Cargo volumes and Construction plan of railway facilities in Busan New port. Section 3 presents the Forecast Railway Cargo volume using a volume ratio, actual volume records and another predicted datas. Section 4 summarizes our conclusions and further research topics. Especially, korea faces enforcement of green Logistics policy. Modal shift to trail freight transportation is one of ways, but there are no more detail plans. so it need that a cooperation system in government department, a indirect subside policy shift to rail freight transportation from trucking for revitalization of Railway Freight transportation.

• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.121-132
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• 2015

Yangsan ICD (Inland Container Depot) has played an important role for Busan Port and Korea's port & logistics industries, increasing international logistics competitiveness and containers' transportation competitiveness in Busan region dealing with 1330 thousand TEU in 2005, since its opening in March 2000. However, it is necessary to seek new measures to revitalize Yangsan ICD, since its cargo volume decreased rapidly owing to the opening of Busan New Port and hinterland in 2006. This study constructed an evaluation model using AHP (Analytic Hierarchy Process) and conducted a survey targeting local businesses and persons concerned in Yangsan ICD to seek measures for revitalization. The results suggest that Yangsan ICD needs to switch functions to logistics centers (terminal facilities, logistics warehouse) for revitalization considering its advantage of facility location. Moreover, by extending the utilization period and securing building-to-land ratio, existing and new businesses' stable activity should be guaranteed. Furthermore, utilizing facilities such as the railway station in ICD, an active railway revitalization policy may increase cargo volume. Yangsan ICD should perform its role as an inland logistics depot through the revitalization of railway freight transportation in the national logistics system focusing on road freight transportation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.10a
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• pp.323-329
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• 1998

In Pusan port, the studies, which analysis container cargo volumes by using forecasting methods and research about container logistics system, etc., have been continuously performed. But, in Pusan port, this study on an evaluation of traffic congestion has been scarcely performed until now. Especially, when changing and extending a berth, and constructing a new port, it is very important to examine this field. And it should be considered. Thus, this paper aims to analysis the effect of ship traffic condition in 2011, to evaluate marine traffic congestion, according to changing ship traffic volumes in Pusan port. To analysis it, we used simulation method and examined the results

• Journal of Korean Port Research
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• v.12 no.2
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• pp.177-194
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• 1998

In Pusan port, the studies which analyze container cargo volumes by using forecasting methods and research about container logistics system, etc., have been continuously carried out. But, in Pusan port, the study on an evaluation of traffic congestion has been scarcely performed until now. Especially, when changing and extending a berth, or constructing a new port, it is very important to examine this field. And it should be considered. Thus, this paper aims to analyze the effect of ship traffic condition in the year 2011, to evaluate marine traffic congestion according to changing ship traffic volumes in Pusan port. To analyze it, we examined the results by simulation method.

• Journal of Korea Port Economic Association
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• v.24 no.3
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• pp.57-77
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• 2008

The aim of this paper is to make projection of the demand for export loaded container throughput originating at Incheon port in Korea over the period in question. Systematic analysis is used as a forecasting method instead of quantitative analysis. First of all, the method explores coincident indicators which may reflect the square measure of neighboring industrial complexes which originate/destinate general cargo in export traffic trends. It is noted that in terms of the export loaded container throughput, per unit production scale is intermediated transforming from square measure of production facilities to freight weight in Korea. Consequently, the future progress of the volume can be anticipated relying on the development schemes for developing square measure out of the total square of the industrial complexes. Thus, moving-into percentage of the industrial complexes, percentage of business categories, percentage of capacity and percentage of passing through via Incheon port are adopted and the future traffic demand is projected taking advantage of them.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.529-538
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• 2018

The port industry is an important national industry which significantly affects Korea's imports and exports which are centered on economic structure. For instance, the Port of Busan, which handles 75% of domestic container freight volume, is expected to become increasingly critical for container liner routes. For this reason, there have been continued efforts to expand freight service to attract international freight volume. This study analyzes the structural characteristics of the port network connected to the Port of Busan by analyzing the pattern of the container liner route from 2012 to 2016 by using social network analysis. According to the Port of Busan's liner route network, the port with the highest degree of centrality, closeness centrality, and betweenness centrality was found to be the Port of Singapore. The comparison of Busan's annual container handling rank by countries and the port center network analysis of Port of Busan rank was found to be different. As a result, it was established that China's East Port, which occupies a high percentage of the volume of cargo handled by Port of Busan, is not a hub port of Busan when viewed on the Busan's container terminal liner network. In addition, even if the number of Port of Busan container liner service increases, it is estimated that the vessels to be added to the fleet will be limited to small to medium sized, or that Busan port has characteristic of a feeder port for the Port of Singapore, according to the network.

• Journal of Korea Port Economic Association
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• v.34 no.4
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• pp.85-104
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• 2018

Globally, more than 90 percent of all international commerce takes place via sea freight. In terms of container cargo volume, Busan Port is the world's sixth largest port, given its geographical conditions. Regarding geographic advantages, a cargo-working operation that met customers' demand using a 24-hour operating delivery system also contributed to the growth of Busan Port as a global hub. However, research and studies on the working conditions for stevedores are lacking, even though the port industry relies heavily on human resources. Therefore, this study identifies the awareness of the working environment by cargo-working employees at Busan Port and their satisfaction level related to their working environment, such as working two shifts in a 24-hour period.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.344-350
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• 2022

Due to the increase in container cargo volume, the congestion of container terminals is increasing and the waiting time of gate in-out trucks has significantly lengthened at container yards and gates, resulting in severe inefficiency in gate in-out truck operations as well as port operations. To resolve this problem, the Busan Port Authority and terminal operator provide services such VBS, terminal congestion information, and expected operation processing time information. However, the visible effect remains insufficient, as it may differ from actual waiting time.. Thus, as basic data to resolve this problem, this study presents deep learning based average gate in-out truck waiting time prediction models, using container gate in-out information at Busan New Port. As a result of verifying the predictive rate through comparison with the actual average waiting time, it was confirmed that the proposed predictive models showed high predictive rate.