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In urban transportation systems, mobility flows in the subway system reflectthe spatial and temporal dynamics of working days. To investigate thevariability of mobility flows, we analyse the spatial community through aseries of snapshots of subway stations over sequential periods. Using Shanghaias a case study, we find that the spatial community snapshots reveal dynamicpassenger activities. Adopting a dual-perspective, we apply spatial andtemporal models separately to explore where and when individuals travel forentertainment. In the two models, microblog topics and spatial facilities suchas food venues and entertainment businesses are used to characterise thespatial popularity of each station and people's travelling perceptions. In thestudied case, the city centre is characterised by greater social influence, andit is better described by the spatial model. In the temporal model, shortertravel distances motivate individuals to start their trips earlier.Interestingly, as the number of food-related facilities near the startingstation increases, until it exceeds 1563, the speed of people's journeys slowsdown. This study provides a method for modelling the effects of social featureson mobility flows and for predicting the spatial-temporal mobility flows ofnewly built subway stations.

Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows