Can future complex urban phenomena be predicted? This chapter examines whether advanced machine learning (ML) methods can enhance housing price predictability at the level of neighborhoods. The aim of the analysis is to test the ability of ML to detect future housing bubbles and other housing...

This chapter addresses new scientific pathways following the quantitative revolutions in geography and regional science. We observe the rising popularity of artificial intelligence (AI) – specifically machine learning (ML) techniques – in geography and regional science. This chapter sets out...

Agent behavior in simulation models is often mechanistic and lacking in realism. This chapter shows how machine learning (ML) techniques can be harnessed to increase behavioral realism in agent-based models (ABM). We use an inverse reinforcement learning (IRL) algorithm to derive the decision...

Abstract : Mobility data derived from mobile phones is a valuable source of information for direct geomarketing. By conducting cross-analysis of geolocation and customer trajectories, along with the inclusion of points-of-interest (POI) data on maps, it is possible to gain insights into the...

Recent advancements in GIS and information technologies enable fine-scale spatial data collection for modeling land-use changes (LUC) in urban and rural systems. Managing future land development and safeguarding natural, social, and economic systems requires accurate LUC modeling. Dealing with...

This chapter investigates the geography of artificial intelligence (AI) technologies in Europe and their urban genesis based on a patent data analysis that combines a textual approach with the browsing of technological classification codes. Specifically, the chapter advances the hypothesis that,...

It is hoped that city happiness can be detected through the use of Big Data. This raises the question of accuracy and precision in predicting city happiness with Big Data, owing to a number of technical challenges. This chapter uses Big Data from Twitter in the UK that we aggregate on an...

The digital transformation of urban governance now increasingly emphasizes citizen participation through online channels. At the same time, corporate involvement generates concerns about the control of urban governance, misuse of citizens’ data, and privatization of public goods. This chapter...

Recent advancements in data collection have expanded the tools available for urban science, economic, and real estate research. The integration of diverse data sources has supported the development of ‘smart city’ initiatives in city governance and driven the adoption of data-centric...

Big Data and artificial intelligence are shaping contemporary developments in urban tourism. This process can be seen as part of the emergence of a broader creative economy, supported by intense digitalization. Often generated through interactions among users, these ‘co-creative’ fluxes of...