Agent-Based Model

We developed an agent-based model (ABM) to simulate the decision making process of potential SV’s during disaster response. We use the Theory of Planned Behavior (TPB) to model an agent’s willingness to volunteer based on their behavioral intention in a given period. SV’s then utilize their social network to learn about volunteer opportunities and choose a volunteer site location. We conduct targeted experiments by modifying model parameters related to decision making for different populations and cases. The goal of these experiments is to determine the effect of specific internal and external factors on overall SV response. By implementing more realistic agent behaviors, we can more effectively represent how and why volunteers appear at volunteer sites. Understanding volunteer motivation and information sharing through a social network gives insight into an SV’s decision making process. This knowledge will help inform policy related to SV inclusion plans during disaster response.