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

本研究旨在建立一个将城市街道形态与社会经济互动所带来的行人行为相结合的仿真模型。用网络结构表示街道的物理特征，用多智能体系统表示行人的行为。利用网络结构和多智能体系统构建仿真模型，可以更准确地揭示行人受路边环境影响的行为模式。该模型可用于研究城市街道更新的影响和估算新建街道的流量。

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.