A Population Game Model for the Expansion of Airbnb in the City of Venice

Sophia Arbara and Roberto D’Autilia
Additional contact information
Sophia Arbara: Dipartimento di Architettura, Università Roma Tre, 00184 Rome, Italy
Roberto D’Autilia: Dipartimento di Matematica e Fisica, Università Roma Tre, 00146, Rome, Italy

Sustainability, 2021, vol. 13, issue 7, 1-15

Abstract: The emergence of Airbnb along with an increase in urban tourism has intensified the pressure on urban areas while adding a new dimension to the dynamics of housing distribution, especially in historic cities. These dynamics affect local economies and significantly alter the characteristics of urban spaces, hence the necessity to not only create policies that foster sustainable tourism development but also to advance urban models that explore the relation between Airbnb and the traditional rental and accommodation sector. Through the case of Venice, the present study sheds light on the potential evolution of Airbnb housing in comparison to the traditional rental and homeowner market. In particular, we sought to understand whether a potential equilibrium between these uses exists and if so, at which point in regard to this equilibrium the historic center of Venice is. To tackle this question, methods derived from the field of game theory and specifically evolutionary game theory were used. With the agents (players) being the housing units, the designed theoretical model explored the population dynamics of the housing units in Venice given the three options of homeownership or long-term renting (residential); short term renting or Airbnb (airbnb); and no use (vacant). The findings of our theoretical population game model were validated and discussed with a dataset describing the usage patterns in the city of Venice during the past 20 years. A verification of the outcome through further case studies could eventually provide insights into the future behavior of tourism’s pressure in historic urban areas.

Keywords: tourism carrying capacity; game theory; population games; urban models (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/7/3829/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/7/3829/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:7:p:3829-:d:527273

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().