STS-EPR: Modelling individual mobility considering the spatial, temporal, and social dimensions together

Cornacchia G., Pappalardo L.

Human mobility  Data science  Artificial intelligence  Complex systems 

Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. On the one hand, existing models focus on the spatial and temporal dimensions of mobility only, while the social dimension is often neglected. On other hand, models that embed a social mechanism have trivial or unrealistic spatial and temporal mechanisms. We propose STS-EPR, a mechanistic model that captures the spatial, temporal, and social dimensions of human mobility together. Our results show that STS-EPR generates realistic trajectories, making it better than models that lack either in the social, the spatial, or the temporal mechanisms. STS-EPR is a step towards the design of mechanistic models that can capture all the aspects of human mobility in a comprehensive way.

Source: Procedia computer science 184 (2021): 258–265. doi:10.1016/j.procs.2021.03.035

Publisher: Elsevier, Amsterdam , Paesi Bassi

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