IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v514y2019icp892-901.html

Network analysis by fishing type for fishing vessel rescue

Author

Listed:
  • Yoo, Sang-Lok

Abstract

This paper adopts network analysis to investigate the feasibility of recruiting nearby fishing vessels as the initial rescue force for search-and-rescue operations. Network analysis was conducted to analyze the proximity among fishing vessels according to the type of fishing. The results were used as input to an adjacency matrix and schematized by applying the network. Given that fish species tend to travel together, fishing vessels in pursuit of them also operate in the same waters, essentially forming a network. It is thus desirable to secure a search-and-rescue system among fishing vessels of the same fishing type for prompt rescue. Specifically, network analysis confirmed that fishing vessels of the same type within 10 nautical miles can become vigilant, and a system of prompt rescue support can thus be secured; this approach improves the overall speed of rescue operations. These findings can be used as baseline data for developing a practical search-and-rescue system through a network of fishing vessels of the same fishing type.

Suggested Citation

  • Yoo, Sang-Lok, 2019. "Network analysis by fishing type for fishing vessel rescue," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 892-901.
  • Handle: RePEc:eee:phsmap:v:514:y:2019:i:c:p:892-901
    DOI: 10.1016/j.physa.2018.09.139
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118312767
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2018.09.139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Lam, Jasmine Siu Lee & Yap, Wei Yim, 2011. "Dynamics of liner shipping network and port connectivity in supply chain systems: analysis on East Asia," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1272-1281.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. César Ducruet, 2023. "Shipping network analysis: state-of-the-art and application to the global financial crisis," Post-Print halshs-04588340, HAL.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kevin X. Li & Tae-Joon Park & Paul Tae-Woo Lee & Heather McLaughlin & Wenming Shi, 2018. "Container Transport Network for Sustainable Development in South Korea," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    2. Tovar, Beatriz & Wall, Alan, 2022. "The relationship between port-level maritime connectivity and efficiency," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. Julián Martinez-Moya & Amparo Mestre-Alcover & Ramon Sala-Garrido, 2024. "Connectivity and competitiveness of the major Mediterranean container ports using ‘Benefit-of-the-Doubt’ and ‘Common Sets of Weights’ methods in Data Envelopment Analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 261-282, June.
    4. Konstantinos D. Melas & Nektarios A. Michail, 2024. "Can commodity prices predict stock market returns? The case of dry bulk shipping companies," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-14, December.
    5. Martínez-Moya, Julián & Feo-Valero, María, 2020. "Measuring foreland container port connectivity disaggregated by destination markets: An index for Short Sea Shipping services in Spanish ports," Journal of Transport Geography, Elsevier, vol. 89(C).
    6. Hani Alyami & Paul Tae-Woo Lee & Zaili Yang & Ramin Riahi & Stephen Bonsall & Jin Wang, 2014. "An advanced risk analysis approach for container port safety evaluation," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(7), pages 634-650, December.
    7. César Ducruet, 2023. "Shipping network analysis: state-of-the-art and application to the global financial crisis," Post-Print halshs-04588340, HAL.
    8. Calatayud, Agustina & Mangan, John & Palacin, Roberto, 2017. "Connectivity to international markets: A multi-layered network approach," Journal of Transport Geography, Elsevier, vol. 61(C), pages 61-71.
    9. Yip, Tsz Leung & Liu, John Jianhua & Fu, Xiaowen & Feng, Jiejian, 2014. "Modeling the effects of competition on seaport terminal awarding," Transport Policy, Elsevier, vol. 35(C), pages 341-349.
    10. Su, Han & Wang, Liehui & Zhang, Sheng & Du, Debin & Ducruet, Cesar, 2025. "From fragmentation to integration: Evolving community structure of the Asia-Pacific shipping network since 1890," Journal of Transport Geography, Elsevier, vol. 128(C).
    11. Koi Yu Adolf Ng & César Ducruet, 2014. "The changing tides of port geography (1950–2012)," Post-Print halshs-01359160, HAL.
    12. Hou, Weilu & Shi, Qin & Guo, Liquan, 2022. "Impacts of COVID-19 pandemic on foreign trade intermodal transport accessibility: Evidence from the Yangtze River Delta region of mainland China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 419-438.
    13. Ducruet, César, 2020. "The geography of maritime networks: A critical review," Journal of Transport Geography, Elsevier, vol. 88(C).
    14. Liu, Qing & Yang, Yang & Ke, Luqi & Ng, Adolf K.Y., 2022. "Structures of port connectivity, competition, and shipping networks in Europe," Journal of Transport Geography, Elsevier, vol. 102(C).
    15. Lee, Choong Bae & Wan, Junbin & Shi, Wenming & Li, Kevin, 2014. "A cross-country study of competitiveness of the shipping industry," Transport Policy, Elsevier, vol. 35(C), pages 366-376.
    16. Giovanni Satta & Francesco Parola & Simone Caschili, 2014. "Dealing with uncertainty and volatility in the port industry network: social and instrumental antecedents of "clique" survival," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(7), pages 615-633, December.
    17. Nadia M. Trent & Johan W. Joubert & Minh Kieu, 2025. "The Policy Potential of Monitoring Market Proximal Maritime Connectivity Over Time: The Case of Aotearoa New Zealand," Networks and Spatial Economics, Springer, vol. 25(1), pages 67-94, March.
    18. Dirzka, Christopher & Acciaro, Michele, 2022. "Global shipping network dynamics during the COVID-19 pandemic's initial phases," Journal of Transport Geography, Elsevier, vol. 99(C).
    19. Zhang, Jun-Qing & Woo, Su-Han & Li, Kevin X., 2026. "Role of investment for improvement of port connectivity: Evidence from China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
    20. Brinker, Janosch & Haasis, Hans-Dietrich, 2020. "The impact of an asymmetric allocation of power on the digitalization strategy of port logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 457-484, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:514:y:2019:i:c:p:892-901. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.