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Using innovations to understand tourist mobility in national parks


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Hardy, A ORCID: 0000-0003-1461-2967 and Aryal, J ORCID: 0000-0002-4875-2127 2020 , 'Using innovations to understand tourist mobility in national parks' , Journal of Sustainable Tourism, vol. 28, no. 2 , pp. 263-283 , doi: 10.1080/09669582.2019.1670186.

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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 wellknown Freycinet National Park. The highly detailed granular data was 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-based learning environment, designed to operate in real time. The paper details the implications that innovative methodologies such as this may offer natural resource managers and tourism authorities, particularly in terms of locating, assessing and ultimately alleviating crowding and overtourism.

Item Type: Article
Authors/Creators:Hardy, A and Aryal, J
Keywords: visitor mobility, GNSS technology, national parks, tourist movement, visitor tracking, crowding
Journal or Publication Title: Journal of Sustainable Tourism
Publisher: Routledge
ISSN: 0966-9582
DOI / ID Number: 10.1080/09669582.2019.1670186
Copyright Information:

Copyright 2019 Informa UK Limited, trading as Taylor & Francis GroupThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of sustainable tourism on 9/10/2019, available online:

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