Developing a Multi-Agent Based Simulation Model of Users’ Wayfinding as a Representation and PostOccupancy Evaluation (POE) Tool in a Hospital

Abstract

Ease of navigation is a critical consideration for complex settings. Generally, the literature demonstrates that disorientation due to environment complexity causes frustration, anxiety, etc. in patients. Therefore, the need for an efficient flow of people is particularly important. To analyze the human wayfinding pattern in processoriented facilities, simulation is an essential tool to advance the visualization. Agent-Based Modeling is a promising simulation method that models individual decision-making process and dynamics inside the spatial environment. The objective of this research is to study outpatients’ wayfinding patterns based on different daily workflow by using simulation. One of the main post-occupancy concerns is related to actual building performance from a behavioral and social perspective after completion. This research uses a multistory Iranian hospital as a case study. It investigates two significant parameters of time and distance as a determinant of wayfinding in this healthcare facility. The scenario-based agent simulation was developed for modeling visitor wayfinding behavior in a computer-simulated environment (NetLogo). The findings of simulation study will help architects, planners, and designers or architects to visualize and optimize users’ experiences and visitors’ dynamics.