A Multi-spatiotemporal Crowd Behavior Characteristics Simulation Method for Community Park Based on the Anylogic Platform and Its Application:A Case Study of 511 Community Park
Under the background of stock renewal,the rational opening and crowd use of community park green space is one of the important research topics at present.Previous studies have shown that full consideration of crowd behavior characteristics is the key premise of rational landscape space planning,but there are some subjectivity and limitations in obtaining and quantifying crowd behavior information in landscape space in previous studies.Based on the Anylogic platform,this paper proposes a simulation framework of"actual behavior characteristics(multi-time period)-model construction-prediction simulation(multi-time and space)"to make up for the deficiency of existing research.Using the System for Observing Play and Recreation in Communities(SOPARC)to observe and classify actual crowd activity in community parks,a"space-behavior"model is constructed and then used for crowd usage prediction and simulation at multiple Spatio-temporal scenario scales.This study selected Nanjing 511 Park as an example to validate this method and its applicability.This proposed method can provide support for the follow-up community park space optimization and renewal and planning and design.
NETL
NSTL
万方数据
