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

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.

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Creator Pappalardo, Luca, luca.pappalardo@isti.cnr.it, orcid.org/0000-0002-1547-6007
DOI https://doi.org/10.1016/j.procs.2021.03.035
Group Sustainable Cities for Citizens
Publisher sciencedirect
Source Procedia Computer Science Volume 184, 2021, Pages 258-265
Thematic Cluster Human Mobility Analytics [HMA]
system:type ConferencePaper
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Author Luca Pappalardo
Maintainer Pappalardo Luca
Version 1
Last Updated 7 September 2023, 17:54 (CEST)
Created 19 May 2021, 10:02 (CEST)