Learning urban areas from tourist data: a case study with spatially constrained clustering and Airbnb data

Eddie Rossi, Marco Agnolon, Bruno Zamengo, Francesco Silvestri. 

9th International Conferenceon Computational Social Science IC2S2
Copenhagen, 17-20 luglio 2023

Cities are usually partitioned into smaller areas. For instance, Copenhagen is split into 10 bydele (Indre By, Nørrebro, …) and Venice into 6 sestieri (Cannaregio, San Marco, …). These partitions have emerged for several reasons, like history (city expansion, defensive walls, …), geography (canals, islands, …), and administrative (postal service, merging of smaller towns, …).

Usually, different partition schemes might coexist in the same city; they might significantly differ, and the choice is justified by a particular application. For instance, in the case of postal codes or census units. However, common organizations might not be relevant, or even misleading, for some urban analytics like tourism, environmental policy, and economics.


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