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Spatial Pattern and Regional Relevance Analysis of the Maritime Silk Road Shipping Network

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  • Naixia Mou

    (College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    State Key Laboratory of Resources and Environmental Information System, Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Caixia Liu

    (College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China)

  • Lingxian Zhang

    (College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China)

  • Xin Fu

    (School of Resources and Environment, University of Jinan, Jinan 250022, China)

  • Yichun Xie

    (Institute for Geospatial Research and Education, Eastern Michigan University, Ypsilanti, MI 48197, USA)

  • Yong Li

    (Guangzhou Institute of Geography, Guangzhou 510070, China)

  • Peng Peng

    (State Key Laboratory of Resources and Environmental Information System, Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Under the strategy of “One Belt and One Road”, this paper explores the spatial pattern and the status quo of regional trade relevance of the Maritime Silk Road shipping network. Based on complex network theory, a topological structure map of shipping networks for containers, tankers, and bulk carriers was constructed, and the spatial characteristics of shipping networks were analyzed. Using the mode of spatial arrangement and the Herfindahl–Hirschman Index, this paper further analyzes the traffic flow pattern of regional trade of three kinds of goods. It is shown that the shipping network of containers, tankers and bulk carriers are unevenly distributed and have regional agglomeration phenomena. There is a strong correlation between the interior of the region and the adjacent areas, and the port competition is fierce. Among them, the container ships network is the most competitive in the region, while the competitiveness of the tankers network is relatively the lowest. The inter-regional correlation is weak, and a few transit hub ports have obvious competitive advantages. The ports in Northeast Asia and Southeast Asia are the most significant. The research results combined with the Maritime Silk Road policy can provide reference for port construction, route optimization, and coordinated development of regional trade, which will help to save time and cost of marine transportation, reduce energy consumption, and promote the sustainable development of marine environment and regional trade on the Maritime Silk Road.

Suggested Citation

  • Naixia Mou & Caixia Liu & Lingxian Zhang & Xin Fu & Yichun Xie & Yong Li & Peng Peng, 2018. "Spatial Pattern and Regional Relevance Analysis of the Maritime Silk Road Shipping Network," Sustainability, MDPI, vol. 10(4), pages 1-13, March.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:977-:d:138228
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    as
    1. Shan Huang & Qi Feng & Zhixiang Lu & Xiaohu Wen & Ravinesh C. Deo, 2017. "Trend Analysis of Water Poverty Index for Assessment of Water Stress and Water Management Polices: A Case Study in the Hexi Corridor, China," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    2. Wang, Yuhong & Cullinane, Kevin, 2014. "Traffic consolidation in East Asian container ports: A network flow analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 152-163.
    3. César Ducruet & Liehui Wang, 2018. "China’s Global Shipping Connectivity: Internal and External Dynamics in the Contemporary Era (1890–2016)," Post-Print halshs-01832319, HAL.
    4. Viljoen, Nadia M. & Joubert, Johan W., 2016. "The vulnerability of the global container shipping network to targeted link disruption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 396-409.
    5. Hu, Yihong & Zhu, Daoli, 2009. "Empirical analysis of the worldwide maritime transportation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(10), pages 2061-2071.
    6. Yeo, Gi-Tae & Roe, Michael & Dinwoodie, John, 2008. "Evaluating the competitiveness of container ports in Korea and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 910-921, July.
    7. Shufang Wang & Xiao Xue & Axing Zhu & Yuejing Ge, 2017. "The Key Driving Forces for Geo-Economic Relationships between China and ASEAN Countries," Sustainability, MDPI, vol. 9(12), pages 1-20, December.
    8. John D. Nystuen & Michael F. Dacey, 1961. "A Graph Theory Interpretation Of Nodal Regions," Papers in Regional Science, Wiley Blackwell, vol. 7(1), pages 29-42, January.
    9. T. Heaver & H. Meersman & E. Van De Voorde, 2001. "Co-operation and competition in international container transport: strategies for ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 28(3), pages 293-305, July.
    10. Kevin Cullinane & Yuhong Wang, 2012. "The hierarchical configuration of the container port industry: an application of multiple linkage analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(2), pages 169-187, March.
    11. O. Woolley-Meza & C. Thiemann & D. Grady & J. Lee & H. Seebens & B. Blasius & D. Brockmann, 2011. "Complexity in human transportation networks: a comparative analysis of worldwide air transportation and global cargo-ship movements," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 84(4), pages 589-600, December.
    12. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
    13. César Ducruet & Chengjin Wang, 2018. "China’s global shipping connectivity : internal and external dynamics in the contemporary era (1890–2016)," Post-Print hal-03246918, HAL.
    14. Xiu-Mei Fu & Shan-Shan Jiang & Na Wang & Shi-Qi Wang & Chang-Yun Wang, 2018. "The Research on International Development Path of China’s Marine Biopharmaceutical Industry," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    15. Andrea Gallo & Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini, 2017. "Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    16. Parola, Francesco & Veenstra, Albert W., 2008. "The spatial coverage of shipping lines and container terminal operators," Journal of Transport Geography, Elsevier, vol. 16(4), pages 292-299.
    17. Theo E. Notteboom & Peter W. de Langen, 2015. "Container Port Competition in Europe," International Series in Operations Research & Management Science, in: Chung-Yee Lee & Qiang Meng (ed.), Handbook of Ocean Container Transport Logistics, edition 127, chapter 3, pages 75-95, Springer.
    18. Ducruet, César, 2017. "Multilayer dynamics of complex spatial networks: The case of global maritime flows (1977–2008)," Journal of Transport Geography, Elsevier, vol. 60(C), pages 47-58.
    19. Liehui Wang & Yan Zhu & Cesar Ducruet & Mattia Bunel & Yui-yip Lau, 2018. "From hierarchy to networking: the evolution of the “twenty-first-century Maritime Silk Road” container shipping system," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 416-435, July.
    20. Wang, Chengjin & Wang, Jiaoe, 2011. "Spatial pattern of the global shipping network and its hub-and-spoke system," Research in Transportation Economics, Elsevier, vol. 32(1), pages 54-63.
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    Cited by:

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