Open public places, such as pedestrian streets, parks, and squares, are vulnerable when the pedestrians thronged into sidewalks. The crowd count changes dynamically over time with various external factors, surroundings, weekends, peak hours, so it is essential to predict accurate timely count. To address this issue, study introduces graph convolutional network (GCN), a network-based model, flow...