Agent-based Land Use Models

Agent-based land use models are computer simulations that represent individual decision-makers, or "agents," who interact with each other and their environment in a specific area, such as a city or rural landscape. Each agent can be a person, household, or business making choices about where to live, work, or develop land. By modeling these interactions, researchers can better understand how different factors—like policies, population growth, or economic changes—affect land use over time. This helps urban planners and policymakers create more effective strategies for managing land resources and addressing issues like housing, transportation, and environmental impacts.