Agent-based Modeling of Spatial Configuration and Pedestrian Movement
Date Issued
2004
Date
2004
Author(s)
Chen, Jen-Der
DOI
zh-TW
Abstract
This research aims to develop an agent-based system to simulate interaction of space and pedestrian. Based on theories of human cognition, the interaction model employs visual distance and area to guide pedestrian navigation. This research uses NetLogo as simulation platform where space and pedestrian are considered as patches and agents respectively.
Agents move according to visual distance and adjust heading if their visual area above threshold. It is found that proportion of agents who are able to arrive their destinations and times they have spent varies with respect to thresholds of visual area. In aggregate level, five check points are set up to compare pedestrian flows observed and simulated. The simulation results show very good correlation where the maximum correlation coefficient is 0.99.
Subjects
個體行為導向模型
行人徒步區
可視性分析
agent-based model
pedestrian mall
visibility analysis
Type
thesis
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