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• W1954207360 abstract "This paper has applied two commonly used multivariate techniques, principal component and discriminant function analyses to create ‘constructs’ that model and visualise the characteristics of hiking experiences in natural settings. In situ measurements of feelings and experiences were ascertained via a survey questionnaire administered to subjects hiking along the Pinnacle walking track in the Grampians National Park (GNP) in western Victoria, Australia. Four underlying experiences were detected whilst hiking and their relationships with the biophysical characteristics were established. Results show that the biophysical characteristics of landscapes have a strong bearing on hiking experiences in the Grampians. Identified dimensions of hiking experiences were validated using a different site within the GNP through the data logged in GPS receivers along with a brief survey. Using the outcomes of the model, in the form of maps, a novel approach of managing visitors and their likely experiences in national parks can be developed. With careful promotion, a range of nature-based recreational products could be developed or tailored to suit desires and fitness requirements of different types of hikers. Anticipated probability of experiences at locations with their own biophysical characteristics may reduce the chance of encountering ‘undesirable’ experiences that in turn may enhance the satisfaction of tourists with their visits." @default.
• W1954207360 created "2016-06-24" @default.
• W1954207360 creator A5050367320 @default.
• W1954207360 date "2015-09-18" @default.
• W1954207360 modified "2023-10-02" @default.
• W1954207360 title "A GIS methodology for modelling hiking experiences in the Grampians National Park, Australia" @default.
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• W1954207360 doi "https://doi.org/10.1080/14616688.2015.1083609" @default.
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