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The characteristics and motivational decisions of outdoor adventure tourists: a review and analysis

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  • Gill Pomfret
  • Bill Bramwell

Abstract

The growing demand for outdoor adventure tourism activities, and the rapid growth in associated industry supply, means we need an improved understanding of outdoor adventure tourists. The paper considers the characteristics and motives of outdoor adventure tourists, as well as the influence of experience, age and gender on their motives. This is based, firstly, on a critical review of the relatively much more extensive literature on outdoor adventure activity participants for insights into the character and motives of outdoor adventure tourists. The paper also focuses, secondly, on an original case study of mountaineer tourists in Chamonix, France. Results from the case study of mountaineer tourists are evaluated against the research themes and gaps identified from the review of literature on outdoor adventure activity participants, including outdoor adventure tourists. It is shown how outdoor adventure tourists are a diverse group. Motivational similarities and differences exist between these tourists and their outdoor recreational counterparts. Experience, age and gender influence the motives and motivational differences among outdoor adventure activity participants. It is noted that there is considerable scope for further research on outdoor adventure tourists, including mountaineer tourists, and potential new research directions are identified for the specific themes examined in the paper.

Suggested Citation

  • Gill Pomfret & Bill Bramwell, 2016. "The characteristics and motivational decisions of outdoor adventure tourists: a review and analysis," Current Issues in Tourism, Taylor & Francis Journals, vol. 19(14), pages 1447-1478, December.
    • Handle: RePEc:taf:rcitxx:v:19:y:2016:i:14:p:1447-1478
    DOI: 10.1080/13683500.2014.925430
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    Cited by:

    1. Hyt Ewa & Stasiak Andrzej, 2023. "The influence of the Crown of Polish Mountains on the attitudes of its ascensionists," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 27(1), pages 26-39, January.
    2. Haodong Sun & Yang Yang & Yanyan Chen & Xiaoming Liu & Jiachen Wang, 2023. "Tourism demand forecasting of multi-attractions with spatiotemporal grid: a convolutional block attention module model," Information Technology & Tourism, Springer, vol. 25(2), pages 205-233, June.

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