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A method is derived for estimating a discrete choice model incorporating heteroscedasticities to reflect repeated measurement problems. Heterogeneity of each observation is characterised by a specific scale function and individual heterogeneity is introduced in the random utility choice model. This research proves that the unobserved influences affecting a specific individuals' mode choice are correlated from one of his or her selections to the next repeated questions. This research also suggest a strong evidence of learning effect, implying variances would be decrease as the responses faces repeated questions.

The purpose of this paper is to understand how festival quality, satisfaction and intention to return among cannabis festival attendees were interrelated by using the 2018 Mile High 420 Cannabis Festival in Denver, Colorado, USA.

This study employed an online survey with festival attendees to the 2018 Mile High 420 Festival. A total of 664 attendees participated in the survey.

Findings of the study revealed the demographic profile of cannabis festival attendees (i.e. relatively young, single and evenly distributed in terms of gender and residency) and its relationships with respondents’ perceived festival qualities. In addition, two dimensions of festival quality unique to the context of marijuana festival influenced attendees’ satisfaction and intent to return significantly. Festival attendees’ travel characteristics were used to describe attendees’ satisfaction and intent to return to a different degree. This research has also highlighted a lack of research in the area of cannabis events/festivals.

This study is the first investigation that studied a cannabis-themed festival in the tourism literature. As legalization of recreational cannabis has been embraced in the USA and abroad (i.e. Canada), the findings of this empirical study will help the industry professionals and policy makers to understand this unprecedented SIT market and can be used as the benchmarks for their legal and operational practicality. Further, this study highlights research gaps in the tourism literature, and identifies those areas where future study is unlikely to provide new knowledge.

The present study aimed at classifying cannabis festival attendees based on their motivation and travel activities, profiling the resultant latent groups with demographic and travel characteristics and examining the association between the groups.

With a quantitative-exploratory approach, this study collected 392 out-of-state visitors' responses to a cannabis festival in Denver, Colorado and classified them according to their motivation and activity participation. Using the classification results, the study profiled the festival visitors based on their demographic and travel characteristics. Latent class analysis, analysis of variance (ANOVA) and cross-tabulation were employed.

The results revealed that festival visitors were categorized into four latent groups by motivation and three latent groups by travel activity participation. Regarding motivation, the cannabis seekers (relatively young, White/Caucasian and residents in liberal states) and multi-purpose seekers (relatively young, Black/African American and residents in conservative states) were strongly motivated by cannabis-related factors. For travel activity participation, moderate participants were more likely to be first-time visitors, whereas active and passive participants were classified as repeat visitors.

The current study filled the research gap in the quantitative exploration of cannabis tourism industry in general and cannabis festival segment specifically. The findings contribute to (1) better understanding of out-of-state visitors' motivation and travel behaviors while attending a cannabis themed festival and (2) serving as a seminal work in the context of cannabis tourism literature since the recreational cannabis legalization in the United States.