In urban transportation systems, mobility flows in the subway system reflect the spatial and temporal dynamics of working days. To investigate the variability of mobility flows, we analyse the spatial community through a series of snapshots of subway stations over sequential periods. Using Shanghai as a case study, we find that the spatial community snapshots reveal dynamic passenger activities. Adopting a dual-perspective, we apply spatial and temporal models separately to explore where and when individuals travel for entertainment. In the two models, microblog topics and spatial facilities such as food venues and entertainment businesses are used to characterise the spatial popularity of each station and people's travelling perceptions. In the studied case, the city centre is characterised by greater social influence, and it is better described by the spatial model. In the temporal model, shorter travel distances motivate individuals to start their trips earlier. Interestingly, as the number of food-related facilities near the starting station increases, until it exceeds 1563, the speed of people's journeys slows down. This study provides a method for modelling the effects of social features on mobility flows and for predicting the spatial-temporal mobility flows of newly built subway stations.
From Urban Mobility to Epidemic Dynamics: A Mixture-of-Experts Framework with Preference Alignment for Policy Scenario Simulation
The Bartlett School of Sustainable Construction, University College London（伦敦大学学院可持续建造学院）；SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, University College London（伦敦大学学院土木、环境与测量工程系空间时间实验室）；Queen Square Institute of Neurology, University College London（伦敦大学学院女王广场神经学研究所）
Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes
持续监察长者的体力和活动能力，对维持他们的健康和及早治疗疾病，至为重要。然而，医生的频繁筛查超出了后勤能力。另一种方法是通过环境传感器自动和不引人注目地收集功能测量。在目前的出版物中，我们展示了环境运动传感器的数据与成熟的移动性评估Short-Physical-Performance-Battery，Tinetti和Timed Up & Go之间的相关性。我们使用运动传感器事件的平均数量作为与评估分数相关的活动度量。对真实世界数据集的评估显示，与标准化老年医学身体评估评分之间存在中度至高度相关性。
Towards Inclusive Mobility Modeling: Characterizing and Evaluating Elderly Trajectory Patterns in Urban Systems
School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics（上海财经大学计算机与人工智能学院）；MOE Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics（上海财经大学计算与经济学交叉研究教育部重点实验室）；Center for Data Science, New York University（纽约大学数据科学中心）
