Marie Delaplace (p), Leila Kebir (p)

Aliza Fleischer

The digital revolution modifies urban tourist behaviors by what it is called E-tourism. This is especially the case before their departure. But mobile device uses in tourism (M-tourism) are different from e-tourism. Indeed mobile devices allow changing behavior in-situ, i.e. in the destination. The changes induced by the increasing and widespread use of mobile device for tourism purpose affect these behaviors in a more important manner during their stay. M-tourism allows to last-minute booking for accommodation but also for different activities (museum, restauration, etc.). It changes access, itinerary in the destination. It can also change the experience of the destination when tourism stakeholders are developing some new applications that are providing augmented reality, etc. They also allow tourists to sharing experiences through social media (Munar and Jacobsen, 2014).

The aim of this paper is to investigate the way mobile devices are used and how they change practices in the Champs Elysees in Paris.
A survey will be conducted on the Champs Elysees during May 2018 to identify the use of digital devices in situ and the transformations of tourism behaviours and practices due to M-tourism.
The aim will be to identify if how far tourists are involved in M-Tousims. To what extend do they own smartphones, why and how do they use them in-situ (transportation, hotel booking, restauration, meteo, activities, etc.). What other tools are used to prepare the trip (TV, mouth of word, touristic guide, etc.), what kind of mobile applications have been downloaded for what kind of services (geolocation, trip, practical information, user reviews, etc.), if they are using augmented reality. The survey will allow us to us to identify if tourists and inhabitant share via their mobile applications pictures/video or any other information , if yes what type of information.
But the use of mobile device is also conditioned by the availability of internet connexion in-situ. Providing connexion is a way for tourism stakeholders to appropriate mobile device use by tourists. We will analyse the behaviour of tourism stakeholders. It is the case of the Champs Elysees committee which conducts several activities for its members: communication, events, etc. Since 2016, it has provided free Wi-Fi to visitors with an uninterrupted broadband Internet access all the way from the Arc de Triomphe to the Rond-point des Champs-Elysées.

Filipa Fernandes (p)

Marie Delaplace

See extended abstract.

Aliza Fleischer (p), Eyal Ert

Filipa Fernandes

Online peer-to-peer marketplaces, also known as the sharing economy, are growing at a rapid rate. These marketplaces comprise individuals (consumers) who transact directly with other individuals (sellers) while the online platform itself is maintained by a third party. Examples of such leading platforms are Uber providing taxi services and Airbnb providing hospitality services. Unlike virtual markets such as eBay wherein they sell products, many of the sharing economy markets offer services. Thus although they involve online trading they are typically followed by face-to-face interactions upon service provision. Therefore, they involve a complex set of attributes that consumers face in the purchasing process. In the case of Airbnb, for the market we chose to study a consumer has to consider the following types of attributes: the attributes of the property (e.g., number of rooms, price), spatial attributes (e.g., neighborhood, proximity to points of interests), attributes of the host (e.g., trustworthiness). The information on the different attributes appears on the Airbnb website; some are straight forward, like price and neighborhood, and some are inferred from images (like the photo of the host) or text (self-disclosure-text of the host). A consumer in Airbnb faces a richer set of attributes while making a choice than a consumer in an online hotel market (e.g., Booking.com). As far as we know, there is no full market analysis in the literature of the sharing economy markets that take into consideration such an intricate unique set of attributes.
We aim to provide such an analysis of the Airbnb market in Stockholm. We apply an aggregate nested logit equilibrium model with product differentiation. The nested structure is defined by the different neighborhoods. We modeled the Airbnb listing choice made by a single guest, continue with the population distribution and the listing's market shares and conclude with the listing’s equilibrium-pricing behavior. An empirical specification is derived from the theoretical model and is applied to Airbnb data gathered from information publicly available on the Airbnb website.
Our results indicate that the host’s virtual attributes play an important role in this market as much as the property and spatial attributes. The seller’s trustworthiness is as important as the location of the property.