Agent-Based Simulation on Social Factors in the Amsterdam Housing Market

Title

Agent-Based Simulation on Social Factors in the Amsterdam Housing Market

 Author

Overwater, Arnold (TU Delft Electrical Engineering, Mathematics and Computer Science)

Contributor

Yorke-Smith, Neil (mentor)

Degree granting institution

Delft University of Technology

 Programme

Electrical Engineering

 Date

2019-04-04

 Abstract

Gentrification, displacement and social exclusion has been a topic of debate in the city of Amsterdam, the Netherlands. We use an agent-based model (ABM) to research these problems and policies to alleviate them. We focus on two phenomena, being short-term holiday rentals of homes and a universal basic income. Short-term holiday rentals is a new peer-to-peer concept mostly involving web services such as AirBnb. Lately this has caused controversies among communities in touristic areas, since it contribute to increased housing prices and overall gentrification. We build on an existing ABM towards the city of Amsterdam and call it 'Gentaxelling Amsterdam'. Our model simulates residential migration based on income and house pricing. A municipal basic income experiment, which is sustained by the population, has been added. At the same time we research the effect of short-term holiday rentals by letting tourist agents visit the homes. Although this extra income may temporarily prevent displacement, it has an effect on the housing price. This is one of the first ABMs that has investigated this type of tourism. Empirical analysis has shown tourism has caused considerable changes in housing prices and population development. Basic income did not show any empirical results and asks for further study.

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http://resolver.tudelft.nl/uuid:4402152a-8856-4a79-9904-3a29f71c551a

 Part of collection

Student theses

 Document type

master thesis

 Rights

© 2019 Arnold Overwater
Files
PDF Agent_Based_Simulation_on ... Market.pdf 1.15 MB
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