Infrastructure provides an intricate system through which humans interact with each other and their environment, which is essential for community well-being. These systems, however, degrade over time and become less usable, either due to wear or abrupt damage. Therefore, it becomes necessary to allocate resources to maintain the infrastructure and ensure the community's well-being. However, the relationship between infrastructure expenditures and community well-being is unclear and challenging to measure. This is especially true in locations like Utqiagvik, Alaska, where permafrost thaw due to global warming threatens a substantial amount of infrastructure. Current computational models are inadequate for predicting the cascading effects of system failures, particularly under extreme environmental conditions. This paper introduces agent-based modeling (ABM) as a more adaptive and insightful method to study the impact of infrastructure on community well-being. This approach provides a detailed analysis of component contributions to system robustness, identifying key vulnerabilities for prioritized maintenance and resource allocation.