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When natural disasters occur, unaffiliated volunteers are inspired to help within their community and are known as spontaneous volunteers (SVs). Our research seeks to understand SV convergence as it relates to individual SV motivation, engagement, and decision making. We developed an agent-based model in AnyLogic to simulate the decision-making process of potential SV agents during disasters and how it affects volunteer response. Internal motivation is indicative of an agent’s willingness to volunteer, which was modeled by the Theory of Planned Behavior (TPB). We alter motivational factors to assess how they impact SV participation. We examine SV engagement by exploring targeted versus random messaging from volunteer sites to agents. Agents select volunteer sites based on information sharing policies common within the social network literature. Results show that a site choice decision based on connections (friends) negatively influenced demand completion. Alternatively, having pre-existing confidence in abilities and non-targeted volunteer site to agent messaging positively influences the number of participating SVs and therefore decreases demand most significantly over a 30-day period.