IDEAS home Printed from https://ideas.repec.org/a/taf/marpmg/v45y2018i4p439-455.html
   My bibliography  Save this article

Risk influencing factors analysis of Arctic maritime transportation systems: a Chinese perspective

Author

Listed:
  • Shanshan Fu
  • Xinping Yan
  • Di Zhang
  • Minyang Zhang

Abstract

Recently, the melting of Arctic sea ice and development of maritime technology are enabling the regular voyages in Arctic waters. However, the Arctic maritime transportation system (AMTS) is a complex and dynamic system with respect to human, technical, environmental and organizational issues. For example, ships operating in Arctic waters suffer severe weather conditions, fully and partially ice-covered waters, and are also difficult to search and rescue in ice-covered Arctic waters due to remoteness from lands. These risk factors will influence the safety and security of ships operating in Arctic waters. For this, this paper identifies potential risk influencing factors (RIFs) for the AMTS from human, technical (ship), environmental and organizational aspects. An analytical hierarchy process (AHP) method is used to analyze the hierarchical relationships and calculate the relative importance of the selected RIFs. Due to the complexity and uncertainty involved in the comprehensive analysis of RIFs for the AMTS, fuzzy sets are incorporated into AHP analysis to represent and treat the epistemic uncertainty. The identified critical RIFs in this study can be used to propose specific guidance for the operations of crews on board, ship owners, and ship managers.

Suggested Citation

  • Shanshan Fu & Xinping Yan & Di Zhang & Minyang Zhang, 2018. "Risk influencing factors analysis of Arctic maritime transportation systems: a Chinese perspective," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(4), pages 439-455, May.
    • Handle: RePEc:taf:marpmg:v:45:y:2018:i:4:p:439-455
    DOI: 10.1080/03088839.2018.1448477
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03088839.2018.1448477
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03088839.2018.1448477?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 search for a different version of it.

    Citations

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


    Cited by:

    1. Aziz, Abdul & Ahmed, Salim & Khan, Faisal & Stack, Chris & Lind, Annes, 2019. "Operational risk assessment model for marine vessels," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 348-361.
    2. Benz, Lukas & Münch, Christopher & Hartmann, Evi, 2021. "Development of a search and rescue framework for maritime freight shipping in the Arctic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 54-69.
    3. Omid Ghorbanzadeh & Sarbast Moslem & Thomas Blaschke & Szabolcs Duleba, 2018. "Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model," Sustainability, MDPI, vol. 11(1), pages 1-18, December.
    4. Koçak, Saim Turgut & Yercan, Funda, 2021. "Comparative cost-effectiveness analysis of Arctic and international shipping routes: A Fuzzy Analytic Hierarchy Process," Transport Policy, Elsevier, vol. 114(C), pages 147-164.
    5. Clara Moreira Senne & Josiane Palma Lima & Fábio Favaretto, 2021. "An Index for the Sustainability of Integrated Urban Transport and Logistics: The Case Study of São Paulo," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    6. Antão, P. & Sun, S. & Teixeira, A.P. & Guedes Soares, C., 2023. "Quantitative assessment of ship collision risk influencing factors from worldwide accident and fleet data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    7. Baode Li & Jing Li & Jing Lu, 2019. "Research on the Coupled Risk of Key Nodes in Maritime Transport Based on Improved Catastrophe Theory," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
    8. Zhang, Chi & Zhang, Di & Zhang, Mingyang & Lang, Xiao & Mao, Wengang, 2020. "An integrated risk assessment model for safe Arctic navigation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 101-114.
    9. Liu, Yang & Ma, Xiaoxue & Qiao, Weiliang & Ma, Laihao & Han, Bing, 2024. "A novel methodology to model disruption propagation for resilient maritime transportation systems–a case study of the Arctic maritime transportation system," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    10. Benz, Lukas & Münch, Christopher & Hartmann, Evi, 2021. "Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 375-400, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    11. Fu, Shanshan & Yu, Yuerong & Chen, Jihong & Xi, Yongtao & Zhang, Mingyang, 2022. "A framework for quantitative analysis of the causation of grounding accidents in arctic shipping," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    12. Zeng, Qingcheng & Lu, Tingyu & Lin, Kun-Chin & Yuen, Kum Fai & Li, Kevin X., 2020. "The competitiveness of Arctic shipping over Suez Canal and China-Europe railway," Transport Policy, Elsevier, vol. 86(C), pages 34-43.
    13. Sarbast Moslem & Omid Ghorbanzadeh & Thomas Blaschke & Szabolcs Duleba, 2019. "Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    14. Xu, Sheng & Kim, Ekaterina & Haugen, Stein & Zhang, Mingyang, 2022. "A Bayesian network risk model for predicting ship besetting in ice during convoy operations along the Northern Sea Route," Reliability Engineering and System Safety, Elsevier, vol. 223(C).

    More about this item

    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:taf:marpmg:v:45:y:2018:i:4:p:439-455. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TMPM20 .

    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.