An agent-based model for the simulation of urban land use change at a cadastral scale

Cities are complex systems in which the diverse stakeholders, who have conflicting values and priorities, interact to directly influence the process of urban land use change. These interactions, which are characterized by a strong competition for space, can be represented by an agent-based model in order to better understand and analyze urban systems, and to forecast possible future urban land use patterns. In this study, an agent-based model that simulates the process of urban land-use change at a cadastral scale by modeling the actions of the key stakeholders in the city has been developed. The generated simulation outcomes provide various land use change scenarios and they indicate that the urban planning policies implemented in the model and the characteristics of relocating households influence the changes in land use patterns. This study contributes to the advancement of agent-based models that can assist in the process of urban land use planning.