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Empirical Analysis of the Cruise Shipping Network in Asia

Author

Listed:
  • Maneerat Kanrak

    (Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai 43000, Thailand)

  • Yui-yip Lau

    (Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong)

  • Jingen Zhou

    (Department of Maritime and Logistics Management, Australian Maritime College, University of Tasmania, Launceston 7248, Australia)

  • Jiawei Ge

    (College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China)

  • Saksuriya Traiyarach

    (Faculty of Business Administration and Accountancy, Khon Kaen University, Khon Kean 40002, Thailand)

Abstract

The cruise shipping market has been growing dynamically in the past two decades. This study presented an empirical analysis of the Asian cruise shipping network (ACSN) in which the nodes are cruise ports and links are cruise routes connecting the ports, using complex network analysis. An analysis of 245 voyages operated by 16 cruise lines between 215 ports in 26 countries found that ports in the ACSN are connected by 704 links. The ACSN is a small-world network with a small average path length and a high clustering coefficient, and its degree distribution follows an exponential function. A small number of ports have high connectivity, and most ports have low connections. Most high-degree ports connect to low-degree ports. The important roles and properties of ports vary depending on centrality measures.

Suggested Citation

  • Maneerat Kanrak & Yui-yip Lau & Jingen Zhou & Jiawei Ge & Saksuriya Traiyarach, 2023. "Empirical Analysis of the Cruise Shipping Network in Asia," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2010-:d:1042544
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    References listed on IDEAS

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    Cited by:

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    2. Qian, Peipei & Yang, Zhongzhen & Lian, Feng, 2024. "The structural and spatial evolution of the China Railway Express network," Research in Transportation Economics, Elsevier, vol. 103(C).

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