4.4 Article

What Airbnb Host Listings Influence Peer-to-Peer Tourist Accommodation Price?

期刊

JOURNAL OF HOSPITALITY & TOURISM RESEARCH
卷 44, 期 4, 页码 597-623

出版社

SAGE PUBLICATIONS INC
DOI: 10.1177/1096348020910211

关键词

pricing determinants; sharing economy; variable importance; adaptive spline function; Airbnb listing; random forest

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Recognizing that the pricing strategy of the newly emerging online shared accommodation industry would be different from that of the traditional hotel industry, this study attempted to identify the variables that are the main determinants of the peer-to-peer tourist accommodation price. Using a data set of Airbnb accommodation listings for Toronto, the study established a relationship between room pricing and various listing variables and identified a reduced number of listing attributes that influence the room price significantly. Focusing on a reduced number of important variables, Airbnb hosts can not only increase average profit but would also give tourists a better rental experience. Along with traditional multiple regressions approach, the study also applied two different approaches and found that the analysis of hedonic pricing using nonlinear and nonparametric approaches is quite promising.

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