Colin Arrowsmith

TL;DR: In this article, the authors identify the underlying dimensions influencing visitor experiences through natural landscapes and apply two commonly used multivariate techniques, multidimensional scaling and principal components analysis, to create constructs that model the nature and magnitude of the visitor experience in natural settings.

TL;DR: In this article, an innovative method for tourist market segmentation based on dominant movement patterns of tourists is presented, that is, the travel sequences or patterns used by tourists most frequently.

TL;DR: In this paper, a geographical information system (GIS) based technique was used to measure the recreational potential of natural tourist destinations in western Victoria, Australia, known as the Grampians National Park (GNP).

TL;DR: In this article, the authors present four models of the way-finding process based on visitor levels of familiarity with the physical environment, whether the expected itinerary was pre-planned or unplanned and the spatial and temporal scales encountered in the tourist visit.

TL;DR: A novel method for modelling the spatio-temporal movements of tourists at the macro-level using Markov chains methodology, which will assist park managers in developing better packages for tourists, and will also assist in tracking tourists' movements using simulation based on the model used.