ASSA: Agent-Based Simulation Model for Shop-Around Agent Model

In this chapter, I summarize previous research on models for shop-around behavior and demonstrate the significance of developing the agent-based model for shop-around behavior. Before going into detail about the model, a definition of shop-around behavior is given that focuses on its characteristics, planned actions, and improvised actions. Shop-around behavior is broken down into two axes: time sequence and processing target. I then describe the development of the agent-based pedestrian model that has a bounded rational planning function, an autonomous correction function, and a strengthening learning function that updates shop preferences based on walk-around results. The basis of the definition for shop-around behavior is “multi-purpose multi-stop.” I also present evaluation framework for this model consisting of five items in total, two for general evaluation and three for individual function evaluation.