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Airbnb in tourist cities: comparing spatial patterns of hotels and peer-to-peer accommodation

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arxiv 1606.07138 v3 pith:KDKINBX2 submitted 2016-06-22 cs.SI

classification cs.SI
keywords airbnbhotelsspatialcityexpansionhotelmainpatterns
verification ladder T0 review T1 audit T2 compute T3 formal
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In recent years, what has become known as collaborative consumption has undergone rapid expansion through peer-to-peer (P2P) platforms. In the field of tourism, a particularly notable example is that of Airbnb. This article analyses the spatial patterns of Airbnb in Barcelona and compares them with hotels and sightseeing spots. New sources of data, such as Airbnb listings and geolocated photographs are used. Analysis of bivariate spatial autocorrelation reveals a close spatial relationship between Airbnb and hotels, with a marked centre-periphery pattern, although Airbnb predominates around the main hotel axis and hotels predominate in some peripheral areas of the city. Another interesting finding is that Airbnb capitalises more on the advantages of proximity to the main tourist attractions of the city than does the hotel sector. Finally, it was possible to detect those parts of the city that have seen the greatest increase in pressure from tourism related to Airbnb's recent expansion.

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