• Title/Summary/Keyword: Data Port

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A Data Mining Algorithm to Gaining Customer Loyalty to Ports Based on OD Data for Improving Port Competitiveness

  • Lin, Qianfeng;Son, Jooyoung
    • Journal of Navigation and Port Research
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    • v.44 no.5
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    • pp.391-399
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    • 2020
  • Every port is competing for attracting loyal customers from other ports to achieve more profits stably. This paper proposes a data-mining scheme to facilitate this process. For resolving the problem, the OD (Origination-Destination) data are gathered from the AIS (Automatic Identification System) data. The OD data are clustered according to the arrival dates and ports. The FP-growth algorithm is applied to mine the frequent patterns of ships arriving at ports. Maintaining a loyal customer list for port updates and accuracy is critical in establishing its usefulness. These lists are critical as they can be used to provide suggestions for new products and services to loyal customers. Finally, based on the frequent patterns of the ships and the mode of arrival times, a formula proposed in this paper to derive shipping companies' loyalty to ports was applied. The case of Kaohsiung port was shown as an example of our algorithm, and the OD data of ships in 2017-2018 were processed. Using the results of our algorithm, other rival ports, such as Shanghai or Busan, may attract customers no longer loyal to Kaohsiung ports in the last two years and attract them as new loyal customers.

A Study on the Analysis of the Competitiveness Level in Masan Port (마산항 경쟁력 분석에 관한 연구)

  • Lee, Hong-Girl
    • Journal of Navigation and Port Research
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    • v.35 no.8
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    • pp.677-682
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    • 2011
  • Masan port is a representative port of Kyungnam region, and proceeds to work port development for the future. However, Analytical research related to current competitiveness and strategies for the future of Masan port have been little studied since then. Thus, the aim of this paper is to analyze the current competitiveness level of Masan port. To achieve this abjective, evaluation model based on empirical data was established. And then FHP-based index model that calculate competitiveness level of port was adopted. To analysis competitiveness of Masan port, Data from shippers calling at Masan port were collected. The result of data analysis showed that current competitiveness level of Masan port was 63.

A Study on the Origin/Destiantion of General Cargoes of GunJang Port Data;Focused on China's Ports (군장항 일반화물 O/D에 관한 연구;대중국 항만을 중심으로)

  • Jo, Su-Won;Jang, U-Jun;Kim, Tae-Won;Gwak, Gyu-Seok;Nam, Gi-Chan
    • Proceedings of the Korea Port Economic Association Conference
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    • 2007.07a
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    • pp.493-514
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    • 2007
  • A Port is, one of the important infrastructures, the terminal to connect between land and sea and exerts influences on the development of nation and local area. Accordingly government and privates are making an investment in port facilities in order to raise its competitive power. Due to the economic growth of China and the geographic advantage that Gunsan and Janghang port are close to China, recently traffic with China is rapidly increasing and the role of Gunsan & Janghang ports as a gateway port of west costbecame more important. There, however, remains that Gunsan and Janhang port still don't equipped with enough facilities and strategies to handle increasing traffic. The purpose of this paper is to analyze O/D data of Gunsan-Janghang Port and present the result of O/D as preliminary data. O/D data of Gunsan and Janghang had been analyzed by kinds of cargoes and from/to China's ports and this paper suggests to the competitive strategies of Gunsan and Janghang port to attract cargoes from/to China particularly.

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A Study on the Procedure for Applying Digital Twin to Disaster and Aging Management of Port Infrastructure (항만 인프라 재해와 노후화 관리를 위한 디지털 트윈 적용 절차에 관한 연구)

  • Hye-Jung Chang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.3
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    • pp.138-151
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    • 2023
  • Korea's port infrastructure is rapidly aging, with old port facilities with more than 30 years of public life expected to surge from about 23% in 2019 to 47% in 2029. Traditional, aging ports lose competitiveness in logistics processing, reducing development around the port and increasing human casualties due to the human resource-based maintenance of the facilities. Therefore, it is necessary to solve this problem by establishing systematic management technology based on a digital twin. This research aimed to present the specific implementation steps of a digital twin reflecting smart port technology through cases of port infrastructure disasters, aging status, and smart ports. The study analyzed the port infrastructure linkage system and created and mapped scenarios essential for digital twin implementation. Three-dimensional (3D) modeling and simulation data for disaster and aging management among existing port infrastructure systems were collected. A digital twin port was implemented with 3D modeling. It implements a port digital twin simulation that links data such as sensing data and image data acquired from the port infrastructure in real time. Implementing a digital twin port for port infrastructure disasters and aging management can secure predictive port infrastructure management and disaster safety

A Study on Implementing a Data Warehouse for Efficient Operating and Managing a Port Authority (효율적인 항만공사의 운영과 관리를 위한 데이터 웨어하우스 구현방안에 관한 연구)

  • Kim, Teahun;Kim, Sangyoul
    • Journal of Korea Port Economic Association
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    • v.29 no.2
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    • pp.195-209
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    • 2013
  • A data warehouse is not an operational database, only a database for decision support. It is defied as "a subject-oriented, integrated, time-variant and non-volatile collection of data". It is an indispensable element of successful information processing technology. This study is designed to suggest a better way to use database for efficient Port Authority's management. It is expected to play a significant role in introducing a data warehouse dedicated to port industry. Data warehouses are to serve as an opportunity to be fully exploited as a strategic technology for ports. Seven subject areas supporting ideas of researchers constitute this study.

Estimating Container Traffic of New Incheon Outer-South Port Using Stated Preference Methodology (명시선호(Stated Preference) 방법에 의한 인천남외항 컨테이너 물동량 추정)

  • Jeon, Il-Su;Kim, Hye-Jin;Kim, Jin-Won
    • Journal of Korea Port Economic Association
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    • v.20 no.2
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    • pp.151-167
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    • 2004
  • Traditional traffic forecast has employed regression analysis or time-series analysis based on past trends of explanatory variables. However, not existing but planned port facilities do not have historical data for traffic estimation. Consequently, arbitrary traffic allocation has been subject to researcher's intuition. In this paper, container throughput at New Incheon Outer-South Port will be estimated using stated preference(SP) and sample enumeration methodology on the basis of survey data about the choice behaviors of port users in a theoretical situation. In the SP survey, shippers, freight forwarders and carriers were required to answer a choice between two alternative ports: Busan and Incheon. Although total 27 scenarios of questionnaires were constructed with 3 levels of 3 explanatory variables, each interviewee was asked to answer for just 9 scenarios chosen at random. A binary choice logit model was applied to the survey data. The elasticity of travel time is estimated to be very high, implying that building New Incheon Outer-South Port could be effective in relieving the congestion of the Kyungin corridor. The analysis result shows that increasing service level at Incheon Port would bring in the substantial diversion of container cargo in the Capital region to Incheon Port from Busan Port.

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A Study on the Improvement of Data Transmission Method of PORT-MIS (항만운영정보시스템의 데이터전송방식 개선에 관한 연구)

  • 김칠호;박남규;최형림
    • Journal of Korean Port Research
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    • v.14 no.2
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    • pp.133-142
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    • 2000
  • In order to streamline the procedure of data transmission in port and logistics industries, MOMAF introduced EDI systems as the method of data transmission of 19 documents 5 years ago. While operating EDI system, MOMAF has found the inconvenience and the inefficiency of using EDI systems in the field of requesting fast response. This thesis focuses on finding the possible fields of on-line processing system. The result of the paper presents that if data transmission area such as 'application for pilot'is changed to on-line processing method, the processing cost and time will be reduced compared with EDI processing method.

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Association Modeling on Keyword and Abstract Data in Korean Port Research

  • Yoon, Hee-Young;Kwak, Il-Youp
    • Journal of Korea Trade
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    • v.24 no.5
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    • pp.71-86
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    • 2020
  • Purpose - This study investigates research trends by searching for English keywords and abstracts in 1,511 Korean journal articles in the Korea Citation Index from the 2002-2019 period using the term "Port." The study aims to lay the foundation for a more balanced development of port research. Design/methodology - Using abstract and keyword data, we perform frequency analysis and word embedding (Word2vec). A t-SNE plot shows the main keywords extracted using the TextRank algorithm. To analyze which words were used in what context in our two nine-year subperiods (2002-2010 and 2010-2019), we use Scattertext and scaled F-scores. Findings - First, during the 18-year study period, port research has developed through the convergence of diverse academic fields, covering 102 subject areas and 219 journals. Second, our frequency analysis of 4,431 keywords in 1,511 papers shows that the words "Port" (60 times), "Port Competitiveness" (33 times), and "Port Authority" (29 times), among others, are attractive to most researchers. Third, a word embedding analysis identifies the words highly correlated with the top eight keywords and visually shows four different subject clusters in a t-SNE plot. Fourth, we use Scattertext to compare words used in the two research sub-periods. Originality/value - This study is the first to apply abstract and keyword analysis and various text mining techniques to Korean journal articles in port research and thus has important implications. Further in-depth studies should collect a greater variety of textual data and analyze and compare port studies from different countries.

A Study on the Derivation of Port Safety Risk Factors Using by Topic Modeling (토픽모델링을 활용한 항만안전 위험요인 도출에 관한 연구)

  • Lee Jeong-Min;Kim Yul-Seong
    • Journal of Korea Port Economic Association
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    • v.39 no.2
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    • pp.59-76
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    • 2023
  • In this study, we tried to find out port safety from various perspectives through news data that can be easily accessed by the general public and domestic academic journal data that reflects the insights of port researchers. Non-negative Matrix Factorization(NMF) based topic modeling was conducted using Python to derive the main topics for each data, and then semantic analysis was conducted for each topic. The news data mainly derived natural and environmental factors among port safety risk factors, and the academic journal data derived security factors, mechanical factors, human factors, environmental factors, and natural factors. Through this, the need for strategies to strengthen the safety of domestic ports, such as strengthening the resilience of port safety, improve safety awareness to broaden the public's view of port safety, and conduct research to develop the port industry environment into a safe and specialized mature port. As a result, this study identified the main factors to be improved and provided basic data to develop into a mature port with a port safety culture.

A Study on Strategies of Gunsan Port by Considering Regional Characteristics (지역특화산업을 고려한 군산항 발전 방안)

  • Jung-Ho Na;Sung-Woo Cho
    • Korea Trade Review
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    • v.46 no.6
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    • pp.39-54
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    • 2021
  • This study comprehensively reviews the research conducted until recently in order to derive realistic alternatives in consideration of local industries. The case analysis was performed on a competitive port of similar size, and strategies and revitalization measures were suggested in consideration of the conditions of Gunsan Port. Literature review focused on papers and major reports. The case of similar size were analyzed for Daesan port, Boryeong port, and Mokpo port. In order to find strategies to revitalize the regional port logistics industry behind Gunsan Port, the recent opportunities and threat factors of Gunsan Port were derived. In order to foster the regional port logistics industry with Gunsan Port as its main base, this study proposes a three-step development strategy. It is necessary to increase the effectiveness of the public-private joint port sales and maintain the incentive system, but use it as a means to strengthen the competitiveness of Gunsan Port. Since the possibility of opening various routes is not high due to the conditions of Gunsan Port, various business models can be devised to link the currently opened routes. Start-up in the logistics field can stand out if they provide predictive data or provide consulting services by securing and analyzing logistics data, not directly providing logistics services.