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In this work we address a new temporal characteristic of mobility that cannot be predicted by classical agent-based models. By introducing a dynamic ...
Abstract—Understanding and describing human mobility is of great significance to various fields such as urban management,.
Human mobility patterns are complex and distinct from one person to another. Nevertheless, motivated by tremendous potential benefits of modeling such patterns ...
Jul 5, 2020 · Our experiments show that STS-EPR outperforms existing spatial-temporal or social models on a set of standard mobility metrics and that it can ...
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Jul 5, 2020 · TimeGeo [25] is a mechanistic modeling framework to generate individual mobility trajectories with realistic spatio-temporal properties. TimeGeo ...
May 20, 2019 · Our study investigated this significant gap in the literature on temporal aspects of human mobility behavior—how many days constitute a period ...
mobility pattern based on people's previous movement data. ... based data model to represent the human activity based on above ... temporal activity intensity based ...
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 ...
Missing: Characteristics. | Show results with:Characteristics.
The generative algorithm we propose, d -EPR MD , captures both the spatial and the temporal dimensions of human mobility and is a useful tool to develop more ...
Feb 26, 2024 · Existing solutions mostly incorporate spatiotemporal distances between locations in mobility traces, either by feeding them as additional inputs ...