One of the goals of the municipality of Amsterdam is to improve the livability of the city. This includes affordable housing for everyone and the limitation of nuisance caused by tourists. Houses that are used as illegal hotels, reduce the number of houses available to live in. Moreover, the increased number of tourists in the middle of residential areas is causing nuisance. Therefore, the municipality is committed to reduce
the negative impact of vacation rentals and has set up a number if regulations in which vacation rental is illegal.
This work explores the use of Heterogeneous Graph Attention Networks to predict illegal vacation rentals with the aim of aiding enforcers in their usual process of investigating houses and determining whether fraud was conducted or not.
This research was conducted by Petra Ormel in collaboration with AI Team, Urban Innovation and R&D, City of Amsterdam and the department of Housing, City of Amsterdam.
Involved civil servants: Ammar Khawaja & Iva Gornishka.
Supervisors: Ammar Khawaja, dr. Stevan Rudinac & Ujjwal Sharma