Categorization of tourist attractions and the modeling of tourist cities: based on the co-plot method of multivariate analysis

Abstract This paper examines the relation between the trip characteristics of tourists and the attractions that they visit. This analysis was made possible by means of a new method of multivariate analysis—co-plot—that enables the simultaneous analysis of observations and variables and the graphic presentation of the interrelations among them. Jerusalem was seen as an “ideal” city for the demonstration of the co-plot method of data analysis due to the heterogeneity of its tourism. The research was conducted between September 1998 and March 1999. The results of the statistical analysis show that Jerusalem's tourist attractions can be categorized into four distinct groups and that there is a tendency of spatial concentration among sights belonging to the same group. Based on these results, a spatial model of tourism consumption in large cities was developed.

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