Peer-To-Peer Accommodation: Drivers and User Profiles

  • Juho PesonenEmail author
  • Iis Tussyadiah
Part of the Tourism on the Verge book series (TV)


The tourism industry is currently dealing with the impacts of collaborative consumption, with tourists increasingly using peer-to-peer (P2P) services such as Airbnb and Uber. This study aims to extend our knowledge of why P2P accommodation services are not just succeeding, but thriving, from the consumer perspective, and it contributes to an understanding of the reasons for the popularity of P2P accommodation services and how consumer heterogeneity affects consumer choices. In this study, the drivers of P2P accommodation services are examined in order to better understand consumer characteristics and behaviour. Based on a survey of Internet users in Finland, the major drivers affecting the use of P2P accommodation services are the age of consumers, active use of the Internet and online technologies, and the frequency of international travel. Cluster analysis identified two user profiles corresponding to consumer motivations for using P2P accommodation services. The first consumer group uses P2P accommodation services to make their trips more convenient, while the second uses them mostly for social reasons.


Peer-to-peer accommodation Segmentation Motivations Sharing economy Drivers Collaborative economy 


  1. Airbnb. (2014). New study reveals a greener way to travel: Airbnb community shows environmental benefits of home sharing. Accessed 2016, December 10, from
  2. Bardhi, F., & Eckhardt, G. M. (2012). Access-based consumption: The case of car-sharing. Journal of Consumer Research, 39(4), 881–898.CrossRefGoogle Scholar
  3. Barr, S., Shaw, G., Coles, T., & Prillwitz, J. (2010). ‘A holiday is a holiday’: Practicing sustainability, home and away. Journal of Transport Geography, 18(3), 474–481.CrossRefGoogle Scholar
  4. Belk, R. (2014). You are what you can access: Sharing and collaborative consumption online. Journal of Business Research, 67, 1595–1600.CrossRefGoogle Scholar
  5. Bieger, T., & Laesser, C. (2002). Market segmentation by motivation: The case of Switzerland. Journal of Travel Research, 41(1), 68–76.CrossRefGoogle Scholar
  6. Botsman, R., & Rogers, R. (2010). “What’s mine is yours.” The rise of collaborative consumption. New York: Collins.Google Scholar
  7. Cohen, S. (2010). Searching for escape, authenticity and identity: Experiences of ‘lifestyle travellers’. In M. Morgan, P. Lugosi, & J. R. B. Ritchie (Eds.), The tourism and leisure experience: Consumer and managerial perspectives (pp. 27–42). Bristol: Channel View Publications.Google Scholar
  8. Dolnicar, S. (2002). A review of data-driven market segmentation in tourism. Journal of Travel and Tourism Marketing, 12(1), 1–22.CrossRefGoogle Scholar
  9. Gansky, L. (2010). The mesh: Why the future of business is sharing. London: Portfolio Trade.Google Scholar
  10. Guttentag, D. (2013). Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism. doi: 10.1080/13683500.2013.827159.Google Scholar
  11. Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.Google Scholar
  12. Haley, R. (1995). Benefit segmentation: Decision-oriented research tool. Marketing Management, 4(1), 59–62.Google Scholar
  13. Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67(9), 2047–2059.CrossRefGoogle Scholar
  14. Han, H., & Kim, Y. (2010). An investigation of green hotel customers’ decision formation: Developing an extended model of the theory of planned behavior. International Journal of Hospitality Management, 29(4), 659–668.CrossRefGoogle Scholar
  15. Han, H., Hsu, L. T. J., & Sheu, C. (2010). Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management, 31(3), 325–334.CrossRefGoogle Scholar
  16. Kalafatis, S. P., Pollard, M., East, R., & Tsogas, M. H. (1999). Green marketing and Ajzen’s theory of planned behavior: A cross-market examination. Journal of Consumer Marketing, 16(5), 441–460.CrossRefGoogle Scholar
  17. Kim, Y., & Han, H. (2010). Intention to pay conventional-hotel prices at a green hotel—A modification of the theory of planned behavior. Journal of Sustainable Tourism, 18(8), 997–1014.CrossRefGoogle Scholar
  18. Kim, D., & Perdue, R. R. (2013). The effects of cognitive, affective, and sensory attributes on hotel choice. International Journal of Hospitality Management, 35, 246–257.CrossRefGoogle Scholar
  19. Kohda, Y., & Matsuda, K. (2013, October 31–November 2). How do sharing service providers create value? In Proceedings of the Second Asian Conference on Information System (ACIS 2013). Thailand: Phuket.Google Scholar
  20. Lee, J. S., Hsu, L. T., Han, H., & Kim, Y. (2010). Understanding how consumers view green hotels: How a hotel’s green image can influence behavioural intentions. Journal of Sustainable Tourism, 18(7), 901–914.CrossRefGoogle Scholar
  21. Manaktola, K., & Jauhari, V. (2007). Exploring consumer attitude and behaviour towards green practices in the lodging industry in India. International Journal of Contemporary Hospitality Management, 19(5), 364–377.CrossRefGoogle Scholar
  22. Mustonen, P., & Lindblom, T. (2013). Urbaanien nuorten aikuisten monenkirjavat elämäntyylit. Kvartti, 2, 69–85.Google Scholar
  23. Owyang, J. (2013). The collaborative economy: Products, services and market relationships have changed as sharing startups impact business models. To avoid disruption, companies must adopt the collaborative economy value chain (A market definition report). San Mateo, CA: Altimeter.Google Scholar
  24. Ozanne, L. K., & Ballantine, P. W. (2010). Sharing as a form of anti-consumption? An examination of toy library users. Journal of Consumer Behaviour, 9(6), 485–498.CrossRefGoogle Scholar
  25. Park, D.-B., & Yoon, Y.-S. (2009). Segmentation by motivation in rural tourism: A Korean case study. Tourism Management, 30(1), 99–108.CrossRefGoogle Scholar
  26. Pesonen, J. A. (2012). Segmentation of rural tourists: Combining push and pull motivations. Tourism and Hospitality Management, 18(1), 69–82.Google Scholar
  27. Pesonen, J. A. (2013). Developing market segmentation in tourism: Insights from a finnish rural tourism study. Dissertations in Social Sciences and Business Studies No. 69, University of Eastern, Finland.Google Scholar
  28. Pesonen, J. A. (2014). Testing segment stability: Insights from a rural tourism study. Journal of Travel and Tourism Marketing, 31(6), 697–711.CrossRefGoogle Scholar
  29. Pesonen, J. A. (2015). Targeting rural tourists in the internet: Comparing travel motivation and activity-based segments. Journal of Travel and Tourism Marketing, 32, 211–226.CrossRefGoogle Scholar
  30. Plog, S. (1974). Why destination areas rise and fall in popularity. The Cornell Hotel and Restaurant Administration Quarterly, 14(4), 55–58.CrossRefGoogle Scholar
  31. Ritzer, G. (2007). Inhospitable hospitality. In C. Lashley, P. Lynch, & A. Morrison (Eds.), Hospitality: A social lens (pp. 129–139). Oxford: Elsevier.CrossRefGoogle Scholar
  32. Sigala, M. (2015). Collaborative commerce in tourism: Implications for research and industry. Current Issues in Tourism. doi: 10.1080/13683500.2014.982522.Google Scholar
  33. Sims, R. (2009). Food, place and authenticity: Local food and the sustainable tourism experience. Journal of Sustainable Tourism, 17(3), 321–336.CrossRefGoogle Scholar
  34. Sohrabi, B., Vanani, I. R., Tahmasebipur, K., & Fazli, S. (2012). An exploratory analysis of hotel selection factors: A comprehensive survey of Tehran hotels. International Journal of Hospitality Management, 31(1), 96–106.CrossRefGoogle Scholar
  35. Stokes, K., Clarence, E., Anderson, L., & Rinne, A. (2014, September). Making sense of the UK collaborative economy. Nesta Collaborative Lab.Google Scholar
  36. Tung, V. W. S., & Ritchie, J. B. (2011). Exploring the essence of memorable tourism experiences. Annals of Tourism Research, 38(4), 1367–1386.CrossRefGoogle Scholar
  37. Tussyadiah, I. (2015). An exploratory study on drivers and deterrents of collaborative consumption in travel. In I. Tussyadiah & A. Inversini (Eds.), Information and communication technologies in tourism. Proceedings of the international conference in Lugano, Switzerland, February 3–6, 2015 (pp. 817–830). Heidelberg: Springer.Google Scholar
  38. Tussyadiah, I. P., & Pesonen, J. (2015). Impacts of peer-to-peer accommodation use on travel patterns. Journal of Travel Research. doi: 10.1177/0047287515608505.Google Scholar
  39. Wang, N. (1999). Rethinking authenticity in tourism experience. Annals of Tourism Research, 26(2), 349–370.CrossRefGoogle Scholar
  40. Week, L. (2012). I am not a tourist: Aims and implications of “traveling”. Tourist Studies, 12(2), 186–203.CrossRefGoogle Scholar
  41. Wong, K. K., & Chi-Yung, L. (2002). Predicting hotel choice decisions and segmenting hotel consumers: A comparative assessment of a recent consumer based approach. Journal of Travel and Tourism Marketing, 11(1), 17–33.CrossRefGoogle Scholar
  42. Yeoman, I., Brass, D., & McMahon-Beattie, U. (2007). Current issue in tourism: The authentic tourist. Tourism Management, 28(4), 1128–1138.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Centre for Tourism StudiesUniversity of Eastern FinlandJoensuuFinland
  2. 2.University of SurreyGuildfordUK

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