Agent-Based Simulation of Short-Term Peer-to-Peer Rentals: Evidence from the Amsterdam Housing Market (Article Abstract)

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Abstract

The full article published in Environment and Planning B studies the effect of a range of possible municipal policy measures on the peer-to-peer short-term rental market. The case study is the city of Amsterdam. A spatial agent-based simulation indicates that more lower income citizens remain in the city centre when regulation of the market is stronger, and that banning the touristic market restrains the overall increase in house prices, compared to the business-as-usual scenario. However, the feasibility of enforcement of regulation, and its libertarian consequences, must be considered.
Original languageEnglish
Title of host publicationBNAIC/BeneLearn 2021
Subtitle of host publication33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning
EditorsEdit Luis A. Leiva, Cédric Pruski, Réka Markovich, Amro Najjar, Christoph Schommer
Pages709-711
Publication statusPublished - 2021
Event33rd Benelux Conference on Artificial Intelligence and
30th Belgian-Dutch Conference on Machine Learning
- Esch-sur-Alzette, Luxembourg
Duration: 10 Nov 202112 Nov 2021

Conference

Conference33rd Benelux Conference on Artificial Intelligence and
30th Belgian-Dutch Conference on Machine Learning
Abbreviated titleBNAIC/BeneLearn 2021
Country/TerritoryLuxembourg
CityEsch-sur-Alzette
Period10/11/2112/11/21

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