Evolution of global cruise tourism’ port-node system based on complex network in the 21st century

  • FANG Ru-ru ,
  • MA Ren-feng ,
  • ZHU Bao-yu
Expand
  • (1a. Department of Geography & Spatial Information Technology;1b.Donghai Institute;1c.Ningbo Municipal Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo 315211, China;2. Zhejiang Strategy-sight Planning and Design Consulting Co., Ltd, Hangzhou 310012, China)

Received date: 2019-11-17

  Revised date: 2020-02-04

  Online published: 2020-02-04

Supported by

 

Abstract

Based on the cruise route and port-node data in 2006, 2012 and 2018, the evolution of global cruise route and port-node system in the 21st century was explored by using complex network method. It is shown that: (1) from 2006 to 2018, the trend of complex and intensive global cruise route network is significant, the clustering effect of cruise port-node network is enhanced, the global regional network of cruise route network is obvious, and there is a trend of subdivision of navigation area. The layout of cruise routes extends from regionalization to networking, and the key points gradually change from increasing cruise routes to opening new routes; (2) the evolution characteristics of cruise port-node network show hierarchical expansion weakening, the network characteristics are significant, and the types of cruise port-node are various. The tendency of cruise routes to network, the diversity of navigation areas and nodes also turns to diversity, which indicate that the attribute changes of global cruise tourism elements are increasingly complex. As a late developing country or region, it is necessary to pay attention to the development of new routes and diversified nodes.

Cite this article

FANG Ru-ru , MA Ren-feng , ZHU Bao-yu . Evolution of global cruise tourism’ port-node system based on complex network in the 21st century[J]. Journal of Dalian Maritime University, 2020 , 46(2) : 70 -79 . DOI: 10.16411/j.cnki.issn1006-7736.2020.02.009

References

[1] 孙晓东, 武晓荣, 冯学钢. 邮轮航线设置的基本特征与规划要素研究[J]. 旅游学刊, 2015, 30(11): 111-121.</br>[2] 王迪, 张璟. 邮轮旅游航线设定[J]. 水运管理, 2012, 34(12): 10-12.</br>[3] 焦芳芳, 谢燮. 邮轮航线设计及我国母港邮轮航线拓展建议[J]. 水运管理, 2014, 36(11): 26-29.</br>[4] Nam-Kyu Park, Cheol, Suh Sang. Evaluation Model of CruiseTerminal on Berthing Capability: The Case of BusanCruiseTerminal[J]. Jounal of Fisheries and Marine SciencesEducation. 2018, 30(1): 109-115.</br>[5] Tichavska M,Tovar B.Port-city exhaust emission model: An application tocruiseandferry operations in Las PalmasPort[J]. Transportation Research and Practice, 2015, 78: 347-360.</br>[6] Esteve-Perez J, Garcia-Sanchez A. Dynamism Patterns of Western MediterraneanCruisePorts and The Coopetition Relationships Between MajorCruisePorts[J]. Polishi Maritime Research, 2018, 25(1): 51-60.</br>[7] 吕威, 麦宇雄, 覃杰. 关于邮轮港口定位、选址技术要求及建设规模的探讨[J]. 中国水运, 2016(4): 33-35.</br>[8] 李倩铭, 吴国清. 我国邮轮港口规制建设及体系研究[J]. 中国港口, 2013(08): 22-23.</br>[9] 任闯, 孙瑞红, 叶欣梁. 邮轮港口环境保护问题研究展望[J]. 上海工程技术大学学报, 2017, 31(2): 166-173.</br>[10] 孙晓东, 倪荣鑫. 国际邮轮港口岸上产品配备与资源配置—基于产品类型的实证分析[J]. 旅游学刊, 2018, 33(7): 63-78.</br>[11] 徐钰慧. 中国邮轮港口城市如何共享未来[J]. 中国港口, 2017(11): 5-7.</br>[12] 甘胜军. 邮港口规划与管理[M]. 北京: 旅游教育出版社, 2016.</br>[13] Lopes M J, Dredge D. Cruise Tourism Shore Excursions: Value for Destinations?[J]. Tourism Planning and Development, 2017: 1-20.</br>[14] 陈继红, 孟威, 周康, 等. 基于灰关联的中国邮轮港口竞争力评估[J].应用泛函分析学报, 2016, 18(3): 284-297.</br>[15] 蔡二兵, 史健勇. 基于因子分析法的国内四大邮轮母港竞争力比较[J]. 上海工程技术大学学报, 2014, 28(2): 187-192.</br>[16] 朱乐群. 基于因子分析的我国邮轮港口旅游竞争力评价研究[J]. 淮海工学院学报(社会科学版), 2010, 8(9): 40-42.</br>[17] 刘桂云, 真虹, 赵丹. 港口功能的演变机制研究[J]. 浙江学刊, 2008(01): 183-186.</br>[18] 钟柯, 肖昱, 许珺, 等. 基于列车运行网络的中国城市中心性分析[J]. 地球信息科学学报, 2012, 14(1): 85-93.</br>[19] 刘勇, 杜一. 网络数据可视化与分析利器: Gephi中文教程[M]. 北京:电子工业出版社, 2017.</br>[20] 王列辉, 洪彦. 直航背景下海峡两岸集装箱港口体系空间结构—基于复杂网络的视觉[J], 地理学报, 2016, 71(4): 605-620.</br>[21] 蔡宁, 吴结兵, 殷鸣. 产业集群复杂网络的结构与功能分析[J]. 经济地理, 2006(3): 378-382.</br>[22] 武羡慧, 郭琛.基于复杂网络的我国矿业并购演变过程分析[J]. 中国矿业, 2018, 27(12): 58-64.</br>[23] 曾小舟. 基于复杂网络理论的中国航空网络结构实证研究与分析[D].南京航空航天大学, 2012.</br>[24] 邓亚娟, 杨云峰, 马荣国. 基于复杂网络理论的公路网结构特征[J].中国公路学报, 2010, 23(1): 98-104.</br>[25] 郭建科, 何瑶, 侯雅洁. 中国沿海集装箱港口航运网络空间联系及区域差异[J]. 地理科学进展, 2018, 37(11): 1499-1509.</br>[26] 梁林, 赵玉帛, 刘兵. 京津冀城市间人口流动网络研究—基于腾讯位置大数据分析[J]. 西北人口, 019, 40(1): 20-28.</br>[27] 何龙. 基于复杂网络的城市物流网络构建分析[J]. 中国商论, 2018(28): 6-7.</br>[28] 王寅秋, 罗晖, 李正风. 全球科技领军人才跨国流动网络研究—基于文献信息计量的复杂网络大数据分析[J]. 技术与创新管理, 2018, 39(5): 521-529.</br>[29] 唐由庆. 邮轮实务[M]. 北京: 高等教育出版社, 2012.</br>[30] 默刻编辑部. 邮轮之旅 航向全球美丽的角落[M]. 北京: 人民邮电出版社, 2010.</br>
Outlines

/