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In order to more accurately predict the pedestrian flow and understand the interactive relationship between tourist space and pedestrians, this paper uses spatial syntax and neural network methods to construct an evaluation model of tourist road congestion. This model makes full use of the advantages of neural network method and spatial syntax. For example, neural network method can objectively and dynamically assign the weight of attractions, and it can estimate the weight of other attractionsarXiv:2003.13406v1 fatcat:pozea2ezfbat3jdiohiqz72p5u