Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/107557
Title: Using accommodation price determinants to segment tourist areas
Authors: Hernández Guerra, Juan María 
Bulchand Gidumal, Jacques 
Suárez Vega, Rafael Ricardo 
UNESCO Clasification: 531290 Economía sectorial: turismo
Keywords: Airbnb
Gwr
Hedonic Pricing
Peer-To-Peer Accommodation
Segmentation
Issue Date: 2021
Journal: Journal of Destination Marketing and Management 
Abstract: Accommodation services oriented to different tourist segments usually have different price determinants. Thus, in multi-facet destinations such as large regions or cities, it should be possible to find and describe the underlying types of tourism in the destination by using a price determinant analysis. In this paper, a methodology based on stepwise geographically weighted regression (GWR) is developed, using a k-means clustering algorithm to determine the different types of tourism existing in a large geographical area. The method is applied to the island of Gran Canaria (Canary Islands, Spain), using a database of more than 2000 peer-to-peer accommodation units spread over the geography of the island. As a result, it was possible to identify and classify eight different clusters of types of tourism within this geographical area. This methodology can be used in other geographical areas to identify the different types of tourism developed in them.
URI: http://hdl.handle.net/10553/107557
ISSN: 2212-571X
DOI: 10.1016/j.jdmm.2021.100622
Source: Journal of Destination Marketing and Management[ISSN 2212-571X],v. 21, (Septiembre 2021)
Appears in Collections:Artículos
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