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The evolution of ‘Airbnb-tourism’: Demand-side dynamics around international use of peer-to-peer accommodation in Australia

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  • Volgger, Michael
  • Taplin, Ross
  • Pforr, Christof

Abstract

This paper investigates the evolution of Airbnb and other peer-to-peer accommodation use by international visitors in Australia over 12 quarters, from 2015 to 2017. It applies a dynamic logistic regression to investigate how user characteristics associated with peer-to-peer accommodations evolve over time. This study contributes to understanding the development of consumption patterns around the Airbnb phenomenon. It is also the first paper to investigate the consumer dynamism in the peer-to-peer accommodation sector beyond Airbnb. Findings indicate that Airbnb consumption has evolved, showing patterns of convergence and ‘normalisation’, supported by a growing Asian participation and increasing regional stays. This dynamism is not shared by other platforms, which suggests peer-to-peer accommodation is becoming a single-platform story rather than a thriving broader accommodation-category.

Suggested Citation

  • Volgger, Michael & Taplin, Ross & Pforr, Christof, 2019. "The evolution of ‘Airbnb-tourism’: Demand-side dynamics around international use of peer-to-peer accommodation in Australia," Annals of Tourism Research, Elsevier, vol. 75(C), pages 322-337.
    • Handle: RePEc:eee:anture:v:75:y:2019:i:c:p:322-337
    DOI: 10.1016/j.annals.2019.02.007
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    Cited by:

    1. Zach, Florian J. & Nicolau, Juan L. & Sharma, Abhinav, 2020. "Disruptive innovation, innovation adoption and incumbent market value: The case of Airbnb," Annals of Tourism Research, Elsevier, vol. 80(C).
    2. Juan Luis Jiménez & Armando Ortuño & Jorge V. Pérez-Rodríguez, 2022. "How does AirBnb affect local Spanish tourism markets?," Empirical Economics, Springer, vol. 62(5), pages 2515-2545, May.
    3. Beatriz Benítez-Aurioles, 2022. "The exhaustion of the herding effect in peer-to-peer accommodation," Tourism Economics, , vol. 28(1), pages 27-43, February.
    4. Yang, Eunjung & Kim, Jinwon & Pennington-Gray, Lori & Ash, Kevin, 2021. "Does tourism matter in measuring community resilience?," Annals of Tourism Research, Elsevier, vol. 89(C).
    5. Andreas Strebinger & Horst Treiblmaier, 2022. "Profiling early adopters of blockchain-based hotel booking applications: demographic, psychographic, and service-related factors," Information Technology & Tourism, Springer, vol. 24(1), pages 1-30, March.
    6. Ru Jia & Shanshan Wang, 2021. "Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
    7. Sophia Arbara & Roberto D’Autilia, 2021. "A Population Game Model for the Expansion of Airbnb in the City of Venice," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    8. Shuqair, Saleh & Pinto, Diego Costa & Mattila, Anna S., 2019. "Benefits of authenticity: Post-failure loyalty in the sharing economy," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.

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