Abstract In this paper, European maritime cruise ship traffic of 1031 ports visited by 209 cruises is evaluated with different mathematical tools. Through an innovative ecological analogy, the diversity of ships in every port has been calculated using Simpson, Shannon, Margalef, and Berger-Parker diversity indexes and Automatic Identification System data from the cruise fleet in year 2015. By combining the results of Visiting Vessels Diversity with an Agglomerative Hierarchical Clustering analysis, five different homogeneous cruise regions were identified that match with those normally established by cruise ship associations. Classification trees techniques also demonstrated that cruise ships' diversity in a port could significantly predict these cruise regions with high levels of confidence. All of this information together can serve as an input to develop and improve economic and environmental strategies of cruise ports and their cities. The primary goal of this paper is to obtain a picture of the behaviour of cruise traffic in the European maritime region, grouping ports in clusters based on the absence or presence of cruise ship on those ports and determining the diversity of vessels in each port.

中文翻译：

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分析欧洲海域港口的游轮航线模式和船舶多样性：层次聚类方法

摘要 本文利用不同的数学工具对209艘游轮到访的1031个港口的欧洲海上游轮流量进行了评估。通过创新的生态类比，利用 Simpson、Shannon、Margalef 和 Berger-Parker 多样性指数和 2015 年邮轮船队的自动识别系统数据，计算了每个港口的船舶多样性。通过凝聚层次聚类分析，确定了五个不同的同质游轮区域，它们与游轮协会通常建立的区域相匹配。分类树技术还表明，游轮在港口的多样性可以以高置信度显着预测这些游轮区域。所有这些信息一起可以作为制定和改进邮轮港口及其城市的经济和环境战略的输入。本文的主要目标是了解欧洲海域的邮轮交通行为，根据这些港口上是否有游轮将港口分组，并确定每个港口船只的多样性。