Cruise Traffic Seasonality Patterns in the Western Mediterranean and the Adriatic Sea: A Challenge to Port Operators

The positive trend in the cruise industry since the beginning of the twenty-first century brings with it a series of challenges, mainly for cruise lines and ports. Among them is the seasonality of cruise traffic. This study examines the seasonality of the cruise traffic in the Western Mediterranean and the Adriatic Sea. A sample of 26 ports in 7 countries forms the basis of the empirical analysis, which uses the monthly total cruise passenger movements of each port during the period from 2005 to 2015 as a variable. Methodologically, a “dynamic” classification of ports structured in three sizes is proposed, the seasonality pattern of each port is determined, a cluster analysis is applied to group the ports in clusters with homogeneous patterns, and the changes in seasonal concentration during the analysis period are determined using a Gini coefficient. The main findings suggest the heterogeneity of the ports in the analyzed area and the existence of two clusters with different seasonality patterns. Furthermore, a list of strategies is provided to address the negative effects of cruise traffic seasonality in the management of cruise terminals, taking into account that each cluster obtained requires different strategies.     

Characteristics and consequences of the cruise traffic seasonality on ports: the Spanish Mediterranean case

Cruise traffic is a maritime business and tourist typology that has expanded significantly in the past two decades. The seasonality of the industry affects maritime traffic, generating negative effects for the primary stakeholders involved in the configuration of a cruise itinerary. This article focuses on cruise traffic seasonality from the perspective of cruise ports by analysing a sample of 13 ports on the Spanish Mediterranean coast. The variable used was cruise passenger movements during the period 2000–2015. The main objective of this article is to analyse cruise traffic seasonality in order to identify a pattern, classify through a cluster analysis, and identify the changes in seasonality during the period. Specifically, a threefold analysis has been performed, with the additional goal of providing a series of counter-seasonal suggestions and strategies to apply in the management of cruise ports. First, the seasonality pattern of each port was determined. Second, a cluster analysis was conducted to classify ports into clusters with homogeneous seasonality patterns. Third, an analysis was conducted to identify the changes in seasonality during the period of analysis using the coefficient of variation and the Gini coefficient. This article concludes the existence of two port clusters with different seasonal patterns.