STS-EPR - Trajectory generator

Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on the spatial and temporal dimensions of mobility only, while the social dimension is often neglected. We propose STS-EPR, a mechanistic generative 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 the social, spatial, or 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.

The model is available in the scikit-mobility Python library (

Data and Resources
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Additional Info
Field Value
Accessibility Both
AccessibilityMode OnLine Access
AccessibilityMode Download
Area Human Mobility
Availability On-Line
Basic rights Making available to the public
CreationDate 2021-04-29 12:00
Creator Cornacchia, Giuliano,,
Field/Scope of use Non-commercial research only
Group Sustainable Cities for Citizens
Owner Cornacchia, Giuliano,,
ProgrammingLanguage Python
Sublicense rights No
Territory of use World Wide
Thematic Cluster Human Mobility Analytics [HMA]
system:type Method
Management Info
Field Value
Author Cornacchia Giuliano
Maintainer Cornacchia Giuliano
Version 1
Last Updated 8 September 2023, 13:05 (CEST)
Created 29 April 2021, 12:57 (CEST)