The Three-Parameter Classification Model of Seasonal Fluctuations in the Croatian Nautical Port System

This paper aims to investigate the seasonal fluctuations in recreational boating demand in the Croatian Nautical Port System from 1998 to 2018. The number of vessels in transit is used as an organizational performance indicator of seasonal fluctuations. This research paper proposes a three-parameter...

Full description

Saved in:
Bibliographic Details
Published inSustainability Vol. 12; no. 12; p. 5079
Main Authors Marušić, Eli, Šoda, Joško, Krčum, Maja
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2020
Subjects
Boating
Classification
Coasts
Correlation coefficient
Correlation coefficients
Economic growth
Fluctuations
Islands
Market positioning
Mathematical models
Parameters
Ports
Recreation
Recreation demand
Scientific papers
Seasonal variations
Statistical analysis
Statistical tests
Summer
Sustainability
Tourism
Variance analysis
Greece
Turkey
Europe
Croatia
Online AccessGet full text

Cover

More Information
Summary:This paper aims to investigate the seasonal fluctuations in recreational boating demand in the Croatian Nautical Port System from 1998 to 2018. The number of vessels in transit is used as an organizational performance indicator of seasonal fluctuations. This research paper proposes a three-parameter model for the classification and sub-classification of each month during a nautical season by the variations in demand. To develop the model, the authors propose statistical measures: an average, a spread ratio coefficient, and a correlation coefficient. The proposed Three-Parameter Classification Model enables more efficient market demand analysis in the long run. The results of the research show differences in demand intensity across a nautical year and conform to a seasonal character of nautical sport and recreation in the Croatian Nautical Port System (CNPS). The results are confirmed by conducting ANOVA analysis on variables (p < 0.00001), and t-test statistics on classification clusters (p < 0.016).
ISSN:2071-1050
2071-1050
DOI:10.3390/su12125079