A Study on Street and Pedestrian Flows using Network Theory and Multi-Agent System

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This study aims to make a simulation model which combines morphology of urban street and pedestrian's behavior which is brought by social and economic interaction. Network structure is used to show the physical features of street and multi-agent system represents the behavior of pedestrians. To make a simulation model using network structure and multi-agent system can reveal more accurate behavior pattern of pedestrian who is influenced by the roadside settings. This model will be useful in the search of the effect of urban street renewal and the estimation of flow on a new-made street.