In the last few years sharing economy and collaborative economy represents a new business opportunity for different economic sectors. Tourism is one of the most effected business sectors, especially regarding accommodation and mobility. Airbnb platform offers a great opportunity to visit a destination promoting a different style of experience it, developing the concept of “live like a local”, a now a day very popular way of travelling. If the impacts on urban level have been studied from many researchers, the effects on this phenomenon on a vast and mixed (urban and rural area). territory still need to be investigated. The analysis of spatial autocorrelation is a fundamental tool for the understanding of all the physical as well as anthropological processes which naturally take place within the geographical space, and which cannot be studied independently from it. In this paper the spatial autocorrelation has been applied to a Airbnb lodging dataset regarding the tourism destination of Dolomiti, in Veneto region. The results represent clusters of lodgings that represent the characteristics of the accommodation system represented by the sharing economy. Furthermore, giving a management and governance perspective to those clusters is possible to identify niche of tourism offer, features of the destinations and measures to monitoring the performance of this large territory

The contribution of the sharing economy to the development of peripheral areas. The Airbnb case in the territory of the Veneto Dolomites. Some lessons from the BluTourism Project (ITA-CRO EU Programme)

dario bertocchi
;
nicola camatti
;
luca salmasi;jan van der borg
2019

Abstract

In the last few years sharing economy and collaborative economy represents a new business opportunity for different economic sectors. Tourism is one of the most effected business sectors, especially regarding accommodation and mobility. Airbnb platform offers a great opportunity to visit a destination promoting a different style of experience it, developing the concept of “live like a local”, a now a day very popular way of travelling. If the impacts on urban level have been studied from many researchers, the effects on this phenomenon on a vast and mixed (urban and rural area). territory still need to be investigated. The analysis of spatial autocorrelation is a fundamental tool for the understanding of all the physical as well as anthropological processes which naturally take place within the geographical space, and which cannot be studied independently from it. In this paper the spatial autocorrelation has been applied to a Airbnb lodging dataset regarding the tourism destination of Dolomiti, in Veneto region. The results represent clusters of lodgings that represent the characteristics of the accommodation system represented by the sharing economy. Furthermore, giving a management and governance perspective to those clusters is possible to identify niche of tourism offer, features of the destinations and measures to monitoring the performance of this large territory
Cities, regions and digital transformations: opportunities, risks and challenges
File in questo prodotto:
File Dimensione Formato  
THE CONTRIBUTION OF THE SHARING ECONOMY TO THE DEVELOPMENT OF TOURISM IN PERIPHERAL AREAS.docx

non disponibili

Tipologia: Documento in Pre-print
Licenza: Accesso chiuso-personale
Dimensione 14.7 kB
Formato Microsoft Word XML
14.7 kB Microsoft Word XML   Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10278/3721334
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact