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Binge flying
Abstract
Recent popular press suggests that ‘binge flying’ constitutes a new site of behavioural addiction. We theoretically appraise and empirically support this proposition through interviews with consumers in Norway and the United Kingdom conducted in 2009. Consistent findings from across two national contexts evidence a growing negative discourse towards frequent short-haul tourist air travel and illustrate strategies of guilt suppression and denial used to span a cognitive dissonance between the short-term personal benefits of tourism and the air travel’s associated long-term consequences for climate change. Tensions between tourism consumption and changing social norms towards acceptable flying practice exemplify how this social group is beginning to (re)frame what constitutes ‘excessive’ holiday flying, despite concomitantly continuing their own frequent air travels.
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Citations
Cited by
International tourism and climate change
Scott, D., Gössling, S., & Hall, C. M. (2012) · WIREs Climate Change · doi:10.1002/wcc.165 · Cited by 444
Climate change and tourism: a scientometric analysis using CiteSpace
Fang, Y., Yin, J., & Wu, B. (2018) · Journal of Sustainable Tourism · doi:10.1080/09669582.2017.1329310 · Cited by 405
Metadata
- Authors
- Cohen, S. A., Higham, J. E. S., & Cavaliere, C. T.
- Venue
- Annals of Tourism Research
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 38
- Issue
- 3
- Pages
- 1070-1089
- ISSN
- 0160-7383 (ISSN-L)
- OpenAlex
- W2105381553
- Cited by
- 169
- References
- 0
- FWCI
- 41.79
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cohen, S. A., Higham, J. E. S., & Cavaliere, C. T. (2011). Binge flying. Annals of Tourism Research. https://doi.org/10.1016/j.annals.2011.01.013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.