论文标题
建模人类流动性考虑空间，时间和社会维度
Modelling Human Mobility considering Spatial,Temporal and Social Dimensions
论文作者
论文摘要
在多个领域，从城市规划到流行性建模，交通预测和何种分析，对人类流动性进行建模至关重要。一方面，现有模型主要集中于重现人类流动性的空间和时间维度，而社会方面虽然显着影响人类运动，但经常被忽略。另一方面，那些捕获人类流动性某些社会方面的模型具有微不足道和不现实的空间和时间机制。在本文中，我们提出了STS-EPR，这是一个建模框架，该框架嵌入了将空间，时间和社会方面捕获在一起的机制。我们的实验表明，STS-EPR在一组标准移动性指标上优于现有的时空或社交模型，并且可以用有限的信息使用，而不会发生任何重大现实主义。开源并在开放数据上进行了测试的STS-EPR是迈向设计机械模型的一步，可以全面捕获人类移动性的所有方面。
Modelling human mobility is crucial in several areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. On the one hand, existing models focus mainly on reproducing the spatial and temporal dimensions of human mobility, while the social aspect, though it influences human movements significantly, is often neglected. On the other hand, those models that capture some social aspects of human mobility have trivial and unrealistic spatial and temporal mechanisms. In this paper, we propose STS-EPR, a modeling framework that embeds mechanisms to capture the spatial, temporal, and social aspects together. Our experiments show that STS-EPR outperforms existing spatial-temporal or social models on a set of standard mobility metrics and that it can be used with a limited amount of information without any significant loss of realism. STS-EPR, which is open-source and tested on open data, is a step towards the design of mechanistic models that can capture all the aspects of human mobility in a comprehensive way.
