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Technological advances have had profound impacts upon tourists’ mobility. However, until recently, there has been a gap between technological advances and their integration into tourism research methods. This paper addresses this gap by presenting a research method that utilised an application (app) equipped with a synthesised demographic survey and Global Navigation Satellite System (GNSS) technology. This enabled automated tracking of tourists’ behaviour for their entire stay within the island state of Tasmania, Australia. This paper focuses on tourists’ movement within the well-known Freycinet National Park. The highly detailed granular data were assessed in three phases, revealing segments of tourists more likely to use the walking tracks, those more and less likely to visit during peak crowding times and finally, the development of an automated spatio-temporal dependence model via a machine …