Attention theory-based agent system: using shopping street design simulation as an example

摘要

Pedestrians’ movements and spatial cognition in urban environments are main issues for urban designers in urban spatial planning and analysis. Past studies related to pedestrians mostly focused on crowd aggregation, and only described regular movements. However, the varied outcomes of crowds due to interactions between individuals and environments require further exploration. Therefore, this article aims to study interactions between a behavioral model of pedestrians and urban spaces, and regards micro-scale urban spaces as its target. This article suggests constructing and analyzing a pedestrian behavioral model using the ‘Attention Theory’, and introducing the rules and attributes of agent behavior oriented simulation. Based on the validation of actual street cases, the findings show that (1) the platform constructed by this study is proper for simulating a model of a window-shopping pedestrian, with accurate behaviors and movements; (2) stopping, and walking movements of pedestrians on urban streets can be interpreted as actual behavior induced by internal demands and the stimulation of external environments. The pedestrians can be represented by an agent program, and behavioral reactions of walking agents under different stimuli can be further simulated. Thus, this study suggests that a correlation study on pedestrian behaviors and spatial environments should become the criterion for urban street designers in order to help them create better flows.View full textDownload full textKeywordsagent, attention, behavior, pedestrianRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/02533839.2011.553035