2019
DOI: 10.1016/j.jhtm.2019.05.004
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Influential attributes for the selection of luxury camping: A mixed-logit method

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Cited by 35 publications
(21 citation statements)
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“…For example, Train (1998) studied the anglers' choice of fishing sites while Correia et al (2007) studied the golf tourists' repeat choice behavior in Algarve. Lee et al (2019) applied the mixed logit model to determine the significant attributes that affect glamping choices.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, Train (1998) studied the anglers' choice of fishing sites while Correia et al (2007) studied the golf tourists' repeat choice behavior in Algarve. Lee et al (2019) applied the mixed logit model to determine the significant attributes that affect glamping choices.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Arguably, over the past decade "camping has been experiencing a transformation through the implementation of a novel and innovative accommodation increasingly referred to as glamping" (Hrgović et al, 2019: 773). The latter -a recent innovation in creative accommodation -derives from the words glamour and camping and is attracting mounting interest Lee et al, 2019). Brochado & Perreira (2017: 77) view it is "an emergent concept in camping that combines comfort with direct contact with nature".…”
Section: International Debates Definition and Conceptual Issuesmentioning
confidence: 99%
“…At present, many scholars used a variety of models to depict tourists' discrete choice behavior, the most widely model was ogit discrete choice model, including multinomial logit (MNL) model, nested logit (NL) model, mixed logit model, etc. Some scholars used logit model to research tourism destination selection [46][47][48][49], tourism time selection [11], travel mode selection [50,51], tourists' revisiting behavior [52,53], tourists' consumption behavior [54], tourists' decision-making behavior in congestion situations [55], etc. In these models, tourists will face no less than two selection schemes.…”
Section: Framework Of Multinomial Logit Modelmentioning
confidence: 99%