Construction of Recreation Behavior Simulation Model of Public Space in Urban Waterfront—Taking Huangpu River in Shanghai as an Example

Abstract

AbstractThis study constructs a multi-agent behavior simulation model to explore the quantitative simulation method of waterfront public space. Taking 6 waterfront public space samples along the Huangpu River in Shanghai as research objects, this study first collects environmental data and pedestrian behavior data through field survey, and then analyzes and processes the data to obtain the Spatial Attraction Weight (SWA) that expresses the relationship between pedestrian behavior and spatial elements. Then, based on the Anylogic platform, the pedestrian agent particles expressing people’s characteristics are placed into the simulation environment based on the social force model. They interact in real time to dynamically simulate the pedestrian’s behavior. Finally, fitting verification of the preliminary model is carried out. The qualitative comparison and quantitative correlation analysis are combined to enhance the accuracy. The behavior simulation model of waterfront public space built in the study can more realistically represent the pedestrian's behavior. It can realize the scientific prediction of the future use of waterfront space and provide more detailed reference for problem diagnosis and optimization.