Large Deluxe or Weekly Stay? Diversity of peer-to-peer accommodation offers at an urban tourism destination
Bibliographic Data
| ID | 21864751 |
|---|---|
| Authors | EWA KICZMACHOWSKA, Ewa E Kiczmachowska (0000-0002-7336-875X, Kozminski University, corresponding author) |
| Year | 2025 |
| Volume | 39 |
| Pages | 3910 |
| Publication date | 2025-01-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Journal of Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1994-7658 • E-ISSN: 1314-0817 |
| Publisher | Varna University of Management (PUBLISHER • BG) |
| DOI | 10.54055/ejtr.v39i.3765 |
| OpenAlex | W4406432840 |
| Language | EN |
| References cited | 9 |
The purpose of this study was to explore the diversity of peer-to-peer accommodation (P2PA) offers at an urban tourism destination. For P2PA, where the offers are mostly managed by individual hosts, the level of diversity is high, but it hasn’t been investigated so far. To deliver the purpose of this study, K-means clustering algorithm was employed to cluster property level data of 7,780 Airbnb accommodations located in Warsaw, Poland. Employing the hedonic price theory and the research regarding performance determinants in P2PA, 11 variables and 121 amenities were analysed. The study outlined P2PA clusters characterised by the combinations of property and host features, including performance measure of revenues, which carries practical implications for both, current and future short-term tenancy providers. This study added to the P2PA research stream in several ways. First, it used an unsupervised clustering method for the exploration of the diversity of P2PA offers. Second, it investigated a case of Central and Eastern Europe, which was rarely studied in this context. Third, it employed the revenue as the metric of listing performance, in contrast to the price predominantly used so far. Finally, it proposed a typology of P2PA clustering features, based on property-host-guest triangle
Accommodation · Advertising · Business · Economic geography · Geography · Political science · Tourism · Digital Economy and Work Transformation · Law · Neuroscience · Psychology · Sharing Economy and Platforms · Transportation and Mobility Innovations
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| Citation velocity | historical |
|---|---|
| Highly cited | No |